https://infovis-wiki.net/w/api.php?action=feedcontributions&feedformat=atom&user=UE-InfoVis0506+0227022 2026-05-31T14:17:53Z User contributions MediaWiki 1.45.3 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7377 2005-11-02T07:27:17Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>1. Grafik (s/w mit Symbolen)&lt;br&gt;<br /> 2<br /> <br /> 2. Grafik (s/rot)&lt;br&gt;<br /> 0<br /> <br /> 3. Grafik (rot/s)&lt;br&gt;<br /> 1<br /> <br /> 4. Grafik (blaue Symbole)&lt;br&gt;<br /> 0<br /> <br /> 5. Grafik (rote Symbole)&lt;br&gt;<br /> 1<br /> <br /> ----<br /> Bitte um Erhöhung des Zählers um 1 bei einer Stimme für die jeweilige Grafik als &quot;beste&quot;.<br /> <br /> ----<br /> Ich hab ja nichts gegen demokratische Prozesse, würde aber trotzdem gerne meine Argumente festhalten:<br /> * Unterschiedlich grosse Mengen können durch verschieden grosse Symbole sehr gut (meiner Meinung nach am besten) dargestellt werden. Diese 'Kodierung' ist wirklich intuitiv zu verstehen (egal welches Symbol verwendet wird).<br /> * Farben sind sinnvoll wenn sie notwendig sind, d.h. wenn dadurch ''zusätzliche'' Information gegeben wird. Ansonsten machen sie die Graphik &quot;unruhig&quot;.<br /> * 'Tortendiagramme' zeigen 'Anteile'. Sie suggerieren z.B. in diesem Beispiel das 500 inches 100 Prozent sind, und das sich alle anderen daran zu messen haben.<br /> * Ich kann noch immer nicht sehen das Schwarz viel, und Rot wenig Schnee ist, und Hellrot noch weniger Schnee.<br /> * Helle Flächen treten vor dunklen in den Vordergrund und umgekehrt (betrifft die Einfärbung des Hintergrunds).<br /> * Eine Überschrift in einer anderen Farbe und Schrift macht die Graphik unnötig unruhig. Durch die gleiche (wenn auch größere) Schriftart der Überschrift wird die Zugehörigkeit zur Graphik betont (wenn man bedenkt, dass die Graphik eingebettet in andere, teilweise graphische, Elemente sein wird). Prinzip der Ähnlichkeit.</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7372 2005-11-01T22:50:19Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>1. Grafik (s/w mit Symbolen)&lt;br&gt;<br /> 1<br /> <br /> 2. Grafik (s/rot)&lt;br&gt;<br /> 0<br /> <br /> 3. Grafik (rot/s)&lt;br&gt;<br /> 0<br /> <br /> 4. Grafik (blaue Symbole)&lt;br&gt;<br /> 0<br /> <br /> 5. Grafik (rote Symbole)&lt;br&gt;<br /> 1<br /> <br /> ----<br /> Bitte um erhöhung des Zählers um 1 bei einer Stimme für die jeweilige Grafik als &quot;beste&quot;.</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7366 2005-11-01T22:02:24Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>Hallo,<br /> <br /> ich wollt mal die diskussion bezüglich der bilder lostreten..<br /> ich hoffe ihr stimmt mit mir überein den diskussionsteil eher informell zu halten.<br /> <br /> hab die pflichtlektüre ehrlich gsagt bis jetzt nur überflogen, aber ich glaub, dass ich schon halbwegs einen eindruck hab was die sich erwarten.<br /> <br /> erstens muss man definieren, welche information überhaupt rübergebracht werden soll / welche info ich rüber bringen will:<br /> <br /> primärinfo:<br /> man soll auf den ersten blick eine räumliche zuordnung treffen können in welchen regionen viel und wo wenig schnee fällt, jedoch eher unabhängig von den namen der orte - es soll eine art schneeverteilung im land visualisiert werden.<br /> <br /> sekundärinfo:<br /> wie heißen die orte mit xx schneefall.<br /> <br /> nebensächlich find ich topographische informationen und auch die 'verteilungsfunktion' des schneefalls, auch wenns interessant sein mag, ich denk jedoch dass man sich mehr auf die darstellung der primärinfo konzentrieren sollte.<br /> <br /> die gründe für die unterschiede zwischen meiner und eurer graphik/en:<br /> <br /> - die karte die meiner graphik zu grunde liegt ist leer, um die data/ink ratio hoch zu halten<br /> also viel daten mit wenig tinte darstellen - es steht auch in diesen designprinzipien, dass wir die gschichte eher schlicht halten sollten.<br /> mir ist jedoch klar, dass es doch nett ist wenn die gebirgszüge dargestellt werden, da muss man denn eben abwiegen was einen weniger stört: viel tinte oder ein bisschen weniger info.<br /> <br /> - ich hab die orte nicht durchummeriert und die daten daneben dargestellt weil man damit keinen räumlichen überblick gewinne kann wo viel / wenig schnee fällt.<br /> die zuördnung der zahlen im kopf zu den orten geht meiner meinung zu langsam, außerdem kann man gleichzeitig immer nur 2 bis max. 3 orte miteinander vergleichen.<br /> <br /> - die info wieviel schnee fällt hab ich farbcodiert damit sie sofort raussticht. man bekommt beim ersten hinsehen gleich ein bild davon wie die schneelage so verteilt ist.<br /> ich hab bewusst nicht symbole wie stefan genommen, die info beim 1. bild wird durch die größe der symbole also durch die größe der schwarzen flecken codiert - damit stellt man sich unbewusst drauf ein wo mehr schwarz ist, gibt es auch mehr schnee. das problem dabei ist, dass die schrift eben auch schwarz ist und das meiner meinung nach zu einem konflikt führt - bzw. wird die information vl. eine spur verzerrt.<br /> <br /> - ich hab fünf kategorien gemacht damit alle kategorien gleich groß sind. sonst wird die information verzerrt. die daten hab ich von einer anderen website<br /> <br /> - ich bin mir bei meiner graphik noch nicht 100%ig sicher ob die farbwahl wirklich optimal ist, auch wenn ich davon überzeugt bin dass man die info in dem fall farbcodieren soll.<br /> vl. finde ich noch ein colorset, bei dem die einzelnen werte noch besser zu unterscheiden sind, und bei dem man auch sofort unterbewusst die farben richtig sortiert - grün gelb blac rot.. wär halt schlecht, da man dazu keine treffenden ordinale zusammenhang darstellen kann..<br /> <br /> - naja der maßstab ist u.u. auch recht praktisch<br /> <br /> - vielleicht werde ich die graphik noch kleiner machen. sie ist ein bisschn größer als sie sein müsste.<br /> <br /> bitte um eure kritik bez. meiner graphik &amp; was ihr von meinen sichtweisen hält.<br /> <br /> lg, heinrich<br /> <br /> <br /> ----<br /> Ich bitte die Punkte direkt (im Absatz) weiterzuführen, damit wir die jeweiligen Diskussionspunkte besser trenen können!<br /> <br /> # '''Legende'''<br /> ## '''Farbcodierung:''' Sehe ich problematisch, da es erstens nicht klar ist was zu welcher Gruppe gehört (=&gt; Suche nach besserer Frabwahl), was bei 5 Gruppen doch schon eine Aufgabe darstellt. Weiters muss man den s/w Druck bedenken (Rot ist sehr schwarz). Zusätzlich werden Farbenblinde Menschen damit nicht bedient, was bei der ersten Grafik doch der Fall ist (wir sollten alle Punkte verbessern, zumindest argumentativ). '''Positiv''' sehe ich deinen Punkt das man erkennen sollte wo es Regionen gibt wo mehr Schnee fällt. Dies ist bei der Nummern Variante nicht der Fall. Entkräftet wird das dadurch das die Nummern bereits Regnionen angeben. Ich bin trotzdem deiner Meinung das das zusätzliche, &quot;grobe&quot; Information enthält die sehr Userfreundlich ist.<br /> <br /> Die Farbe gibt keinerlei zusätzliche Information, macht die Graphik aber &quot;unruhig&quot;.<br /> Damit sich die (schwarzen) Symbole besser vom Rest abheben wäre eine graue Beschriftung denkbar. [Leonhard]<br /> <br /> <br /> ## '''Zeichen''' Müssten um ein 5tes erweitert werden, damit die Skala gleichabstänmdig eingeteilt ist! Leichte Trennbarkeit muss gewährleistet sein.<br /> <br /> Die &quot;neuen&quot; Intervalle sind nicht sehr intuitiv (251 - 375?) und auch ein ziemlicher Eingriff in die Originalaussage.<br /> Wenn schon nur vier Intervalle sein sollen, würde ich das erste von 0 bis 200 gehen lassen, so wie bei der ursprünglichen Graphik. (Ich glaube, dass die Tatsache, dass das erste Intervall dann größer ist, als die anderen, nur aus &quot;technokratischer&quot; Sicht ein Problem ist. Ich halte diese Einteilung für durchaus zweckmäßig.)<br /> <br /> Allgemein zu den &quot;Zeichen&quot;: Es ist eben intuitiv klar dass:<br /> &lt;center&gt;<br /> '''gross = viel'''&lt;br&gt;<br /> '''klein = wenig'''<br /> &lt;/center&gt;<br /> Alles Andere (wie z.B. Farben) dient nur zur Unterstützung und kann nie eine so starke Aussage (wie die Größe der Symbole) sein.&lt;br&gt;<br /> Ich verstehe nicht, warum wir auf diese Aussage verzichten sollten! (egal ob's jetzt Schneeflocken sind oder Tortenecken oder sonst was.)<br /> [Leonhard]<br /> <br /> <br /> <br /> ## Balken<br /> # Land<br /> ## Einfache Linien mit Bezirksgrenzen &lt;br&gt;<br /> ## Geländeshape<br /> # Beschriftung<br /> ## Substitution<br /> ## Direkte Beschriftung</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7365 2005-11-01T21:59:17Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>Hallo,<br /> <br /> ich wollt mal die diskussion bezüglich der bilder lostreten..<br /> ich hoffe ihr stimmt mit mir überein den diskussionsteil eher informell zu halten.<br /> <br /> hab die pflichtlektüre ehrlich gsagt bis jetzt nur überflogen, aber ich glaub, dass ich schon halbwegs einen eindruck hab was die sich erwarten.<br /> <br /> erstens muss man definieren, welche information überhaupt rübergebracht werden soll / welche info ich rüber bringen will:<br /> <br /> primärinfo:<br /> man soll auf den ersten blick eine räumliche zuordnung treffen können in welchen regionen viel und wo wenig schnee fällt, jedoch eher unabhängig von den namen der orte - es soll eine art schneeverteilung im land visualisiert werden.<br /> <br /> sekundärinfo:<br /> wie heißen die orte mit xx schneefall.<br /> <br /> nebensächlich find ich topographische informationen und auch die 'verteilungsfunktion' des schneefalls, auch wenns interessant sein mag, ich denk jedoch dass man sich mehr auf die darstellung der primärinfo konzentrieren sollte.<br /> <br /> die gründe für die unterschiede zwischen meiner und eurer graphik/en:<br /> <br /> - die karte die meiner graphik zu grunde liegt ist leer, um die data/ink ratio hoch zu halten<br /> also viel daten mit wenig tinte darstellen - es steht auch in diesen designprinzipien, dass wir die gschichte eher schlicht halten sollten.<br /> mir ist jedoch klar, dass es doch nett ist wenn die gebirgszüge dargestellt werden, da muss man denn eben abwiegen was einen weniger stört: viel tinte oder ein bisschen weniger info.<br /> <br /> - ich hab die orte nicht durchummeriert und die daten daneben dargestellt weil man damit keinen räumlichen überblick gewinne kann wo viel / wenig schnee fällt.<br /> die zuördnung der zahlen im kopf zu den orten geht meiner meinung zu langsam, außerdem kann man gleichzeitig immer nur 2 bis max. 3 orte miteinander vergleichen.<br /> <br /> - die info wieviel schnee fällt hab ich farbcodiert damit sie sofort raussticht. man bekommt beim ersten hinsehen gleich ein bild davon wie die schneelage so verteilt ist.<br /> ich hab bewusst nicht symbole wie stefan genommen, die info beim 1. bild wird durch die größe der symbole also durch die größe der schwarzen flecken codiert - damit stellt man sich unbewusst drauf ein wo mehr schwarz ist, gibt es auch mehr schnee. das problem dabei ist, dass die schrift eben auch schwarz ist und das meiner meinung nach zu einem konflikt führt - bzw. wird die information vl. eine spur verzerrt.<br /> <br /> - ich hab fünf kategorien gemacht damit alle kategorien gleich groß sind. sonst wird die information verzerrt. die daten hab ich von einer anderen website<br /> <br /> - ich bin mir bei meiner graphik noch nicht 100%ig sicher ob die farbwahl wirklich optimal ist, auch wenn ich davon überzeugt bin dass man die info in dem fall farbcodieren soll.<br /> vl. finde ich noch ein colorset, bei dem die einzelnen werte noch besser zu unterscheiden sind, und bei dem man auch sofort unterbewusst die farben richtig sortiert - grün gelb blac rot.. wär halt schlecht, da man dazu keine treffenden ordinale zusammenhang darstellen kann..<br /> <br /> - naja der maßstab ist u.u. auch recht praktisch<br /> <br /> - vielleicht werde ich die graphik noch kleiner machen. sie ist ein bisschn größer als sie sein müsste.<br /> <br /> bitte um eure kritik bez. meiner graphik &amp; was ihr von meinen sichtweisen hält.<br /> <br /> lg, heinrich<br /> <br /> <br /> ----<br /> Ich bitte die Punkte direkt (im Absatz) weiterzuführen, damit wir die jeweiligen Diskussionspunkte besser trenen können!<br /> <br /> # '''Legende'''<br /> ## '''Farbcodierung:''' Sehe ich problematisch, da es erstens nicht klar ist was zu welcher Gruppe gehört (=&gt; Suche nach besserer Frabwahl), was bei 5 Gruppen doch schon eine Aufgabe darstellt. Weiters muss man den s/w Druck bedenken (Rot ist sehr schwarz). Zusätzlich werden Farbenblinde Menschen damit nicht bedient, was bei der ersten Grafik doch der Fall ist (wir sollten alle Punkte verbessern, zumindest argumentativ). '''Positiv''' sehe ich deinen Punkt das man erkennen sollte wo es Regionen gibt wo mehr Schnee fällt. Dies ist bei der Nummern Variante nicht der Fall. Entkräftet wird das dadurch das die Nummern bereits Regnionen angeben. Ich bin trotzdem deiner Meinung das das zusätzliche, &quot;grobe&quot; Information enthält die sehr Userfreundlich ist.<br /> <br /> Die Farbe gibt keinerlei zusätzliche Information, macht die Graphik aber &quot;unruhig&quot;.<br /> Damit sich die (schwarzen) Symbole besser vom Rest abheben wäre eine graue Beschriftung denkbar. [Leonhard]<br /> <br /> <br /> ## '''Zeichen''' Müssten um ein 5tes erweitert werden, damit die Skala gleichabstänmdig eingeteilt ist! Leichte Trennbarkeit muss gewährleistet sein.<br /> <br /> Die &quot;neuen&quot; Intervalle sind nicht sehr intuitiv (251 - 375?) und auch ein ziemlicher Eingriff in die Originalaussage.<br /> Wenn schon nur vier Intervalle sein sollen, würde ich das erste von 0 bis 200 gehen lassen, so wie bei der ursprünglichen Graphik. (Ich glaube, dass die Tatsache, dass das erste Intervall dann größer ist, als die anderen, nur aus &quot;technokratischer&quot; Sicht ein Problem ist. Ich halte diese Einteilung für durchaus zweckmäßig.)<br /> <br /> Allgemein zu den &quot;Zeichen&quot;: Es ist eben intuitiv klar dass:<br /> &lt;center&gt;<br /> '''gross = viel'''&lt;br&gt;<br /> '''klein = wenig'''<br /> &lt;/center&gt;<br /> Alles Andere (wie z.B. Farben) dient nur zur Unterstützung und kann nie eine so starke Aussage (wie die Größe der Symbole) sein.<br /> [Leonhard]<br /> <br /> <br /> <br /> ## Balken<br /> # Land<br /> ## Einfache Linien mit Bezirksgrenzen &lt;br&gt;<br /> ## Geländeshape<br /> # Beschriftung<br /> ## Substitution<br /> ## Direkte Beschriftung</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7364 2005-11-01T21:55:37Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>Hallo,<br /> <br /> ich wollt mal die diskussion bezüglich der bilder lostreten..<br /> ich hoffe ihr stimmt mit mir überein den diskussionsteil eher informell zu halten.<br /> <br /> hab die pflichtlektüre ehrlich gsagt bis jetzt nur überflogen, aber ich glaub, dass ich schon halbwegs einen eindruck hab was die sich erwarten.<br /> <br /> erstens muss man definieren, welche information überhaupt rübergebracht werden soll / welche info ich rüber bringen will:<br /> <br /> primärinfo:<br /> man soll auf den ersten blick eine räumliche zuordnung treffen können in welchen regionen viel und wo wenig schnee fällt, jedoch eher unabhängig von den namen der orte - es soll eine art schneeverteilung im land visualisiert werden.<br /> <br /> sekundärinfo:<br /> wie heißen die orte mit xx schneefall.<br /> <br /> nebensächlich find ich topographische informationen und auch die 'verteilungsfunktion' des schneefalls, auch wenns interessant sein mag, ich denk jedoch dass man sich mehr auf die darstellung der primärinfo konzentrieren sollte.<br /> <br /> die gründe für die unterschiede zwischen meiner und eurer graphik/en:<br /> <br /> - die karte die meiner graphik zu grunde liegt ist leer, um die data/ink ratio hoch zu halten<br /> also viel daten mit wenig tinte darstellen - es steht auch in diesen designprinzipien, dass wir die gschichte eher schlicht halten sollten.<br /> mir ist jedoch klar, dass es doch nett ist wenn die gebirgszüge dargestellt werden, da muss man denn eben abwiegen was einen weniger stört: viel tinte oder ein bisschen weniger info.<br /> <br /> - ich hab die orte nicht durchummeriert und die daten daneben dargestellt weil man damit keinen räumlichen überblick gewinne kann wo viel / wenig schnee fällt.<br /> die zuördnung der zahlen im kopf zu den orten geht meiner meinung zu langsam, außerdem kann man gleichzeitig immer nur 2 bis max. 3 orte miteinander vergleichen.<br /> <br /> - die info wieviel schnee fällt hab ich farbcodiert damit sie sofort raussticht. man bekommt beim ersten hinsehen gleich ein bild davon wie die schneelage so verteilt ist.<br /> ich hab bewusst nicht symbole wie stefan genommen, die info beim 1. bild wird durch die größe der symbole also durch die größe der schwarzen flecken codiert - damit stellt man sich unbewusst drauf ein wo mehr schwarz ist, gibt es auch mehr schnee. das problem dabei ist, dass die schrift eben auch schwarz ist und das meiner meinung nach zu einem konflikt führt - bzw. wird die information vl. eine spur verzerrt.<br /> <br /> - ich hab fünf kategorien gemacht damit alle kategorien gleich groß sind. sonst wird die information verzerrt. die daten hab ich von einer anderen website<br /> <br /> - ich bin mir bei meiner graphik noch nicht 100%ig sicher ob die farbwahl wirklich optimal ist, auch wenn ich davon überzeugt bin dass man die info in dem fall farbcodieren soll.<br /> vl. finde ich noch ein colorset, bei dem die einzelnen werte noch besser zu unterscheiden sind, und bei dem man auch sofort unterbewusst die farben richtig sortiert - grün gelb blac rot.. wär halt schlecht, da man dazu keine treffenden ordinale zusammenhang darstellen kann..<br /> <br /> - naja der maßstab ist u.u. auch recht praktisch<br /> <br /> - vielleicht werde ich die graphik noch kleiner machen. sie ist ein bisschn größer als sie sein müsste.<br /> <br /> bitte um eure kritik bez. meiner graphik &amp; was ihr von meinen sichtweisen hält.<br /> <br /> lg, heinrich<br /> <br /> <br /> ----<br /> Ich bitte die Punkte direkt (im Absatz) weiterzuführen, damit wir die jeweiligen Diskussionspunkte besser trenen können!<br /> <br /> # '''Legende'''<br /> ## '''Farbcodierung:''' Sehe ich problematisch, da es erstens nicht klar ist was zu welcher Gruppe gehört (=&gt; Suche nach besserer Frabwahl), was bei 5 Gruppen doch schon eine Aufgabe darstellt. Weiters muss man den s/w Druck bedenken (Rot ist sehr schwarz). Zusätzlich werden Farbenblinde Menschen damit nicht bedient, was bei der ersten Grafik doch der Fall ist (wir sollten alle Punkte verbessern, zumindest argumentativ). '''Positiv''' sehe ich deinen Punkt das man erkennen sollte wo es Regionen gibt wo mehr Schnee fällt. Dies ist bei der Nummern Variante nicht der Fall. Entkräftet wird das dadurch das die Nummern bereits Regnionen angeben. Ich bin trotzdem deiner Meinung das das zusätzliche, &quot;grobe&quot; Information enthält die sehr Userfreundlich ist.<br /> <br /> Die Farbe gibt keinerlei zusätzliche Information, macht die Graphik aber &quot;unruhig&quot;.<br /> Damit sich die (schwarzen) Symbole besser vom Rest abheben wäre eine graue Beschriftung denkbar. [Leonhard]<br /> <br /> <br /> ## '''Zeichen''' Müssten um ein 5tes erweitert werden, damit die Skala gleichabstänmdig eingeteilt ist! Leichte Trennbarkeit muss gewährleistet sein.<br /> <br /> Die &quot;neuen&quot; Intervalle sind nicht sehr intuitiv (251 - 375?) und auch ein ziemlicher Eingriff in die Originalaussage.<br /> Wenn schon nur vier Intervalle sein sollen, würde ich das erste von 0 bis 200 gehen lassen, so wie bei der ursprünglichen Graphik.<br /> <br /> Allgemein zu den &quot;Zeichen&quot;: Es ist eben intuitiv klar dass:<br /> &lt;center&gt;<br /> gross = viel&lt;br&gt;<br /> klein = wenig<br /> &lt;/center&gt;<br /> alles Andere (wie z.B. Farben) dient nur zur Unterstützung und kann nie eine so starke Aussage (wie die Größe der Symbole) sein.<br /> [Leonhard]<br /> <br /> <br /> <br /> ## Balken<br /> # Land<br /> ## Einfache Linien mit Bezirksgrenzen &lt;br&gt;<br /> ## Geländeshape<br /> # Beschriftung<br /> ## Substitution<br /> ## Direkte Beschriftung</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7363 2005-11-01T21:55:09Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>Hallo,<br /> <br /> ich wollt mal die diskussion bezüglich der bilder lostreten..<br /> ich hoffe ihr stimmt mit mir überein den diskussionsteil eher informell zu halten.<br /> <br /> hab die pflichtlektüre ehrlich gsagt bis jetzt nur überflogen, aber ich glaub, dass ich schon halbwegs einen eindruck hab was die sich erwarten.<br /> <br /> erstens muss man definieren, welche information überhaupt rübergebracht werden soll / welche info ich rüber bringen will:<br /> <br /> primärinfo:<br /> man soll auf den ersten blick eine räumliche zuordnung treffen können in welchen regionen viel und wo wenig schnee fällt, jedoch eher unabhängig von den namen der orte - es soll eine art schneeverteilung im land visualisiert werden.<br /> <br /> sekundärinfo:<br /> wie heißen die orte mit xx schneefall.<br /> <br /> nebensächlich find ich topographische informationen und auch die 'verteilungsfunktion' des schneefalls, auch wenns interessant sein mag, ich denk jedoch dass man sich mehr auf die darstellung der primärinfo konzentrieren sollte.<br /> <br /> die gründe für die unterschiede zwischen meiner und eurer graphik/en:<br /> <br /> - die karte die meiner graphik zu grunde liegt ist leer, um die data/ink ratio hoch zu halten<br /> also viel daten mit wenig tinte darstellen - es steht auch in diesen designprinzipien, dass wir die gschichte eher schlicht halten sollten.<br /> mir ist jedoch klar, dass es doch nett ist wenn die gebirgszüge dargestellt werden, da muss man denn eben abwiegen was einen weniger stört: viel tinte oder ein bisschen weniger info.<br /> <br /> - ich hab die orte nicht durchummeriert und die daten daneben dargestellt weil man damit keinen räumlichen überblick gewinne kann wo viel / wenig schnee fällt.<br /> die zuördnung der zahlen im kopf zu den orten geht meiner meinung zu langsam, außerdem kann man gleichzeitig immer nur 2 bis max. 3 orte miteinander vergleichen.<br /> <br /> - die info wieviel schnee fällt hab ich farbcodiert damit sie sofort raussticht. man bekommt beim ersten hinsehen gleich ein bild davon wie die schneelage so verteilt ist.<br /> ich hab bewusst nicht symbole wie stefan genommen, die info beim 1. bild wird durch die größe der symbole also durch die größe der schwarzen flecken codiert - damit stellt man sich unbewusst drauf ein wo mehr schwarz ist, gibt es auch mehr schnee. das problem dabei ist, dass die schrift eben auch schwarz ist und das meiner meinung nach zu einem konflikt führt - bzw. wird die information vl. eine spur verzerrt.<br /> <br /> - ich hab fünf kategorien gemacht damit alle kategorien gleich groß sind. sonst wird die information verzerrt. die daten hab ich von einer anderen website<br /> <br /> - ich bin mir bei meiner graphik noch nicht 100%ig sicher ob die farbwahl wirklich optimal ist, auch wenn ich davon überzeugt bin dass man die info in dem fall farbcodieren soll.<br /> vl. finde ich noch ein colorset, bei dem die einzelnen werte noch besser zu unterscheiden sind, und bei dem man auch sofort unterbewusst die farben richtig sortiert - grün gelb blac rot.. wär halt schlecht, da man dazu keine treffenden ordinale zusammenhang darstellen kann..<br /> <br /> - naja der maßstab ist u.u. auch recht praktisch<br /> <br /> - vielleicht werde ich die graphik noch kleiner machen. sie ist ein bisschn größer als sie sein müsste.<br /> <br /> bitte um eure kritik bez. meiner graphik &amp; was ihr von meinen sichtweisen hält.<br /> <br /> lg, heinrich<br /> <br /> <br /> ----<br /> Ich bitte die Punkte direkt (im Absatz) weiterzuführen, damit wir die jeweiligen Diskussionspunkte besser trenen können!<br /> <br /> # '''Legende'''<br /> ## '''Farbcodierung:''' Sehe ich problematisch, da es erstens nicht klar ist was zu welcher Gruppe gehört (=&gt; Suche nach besserer Frabwahl), was bei 5 Gruppen doch schon eine Aufgabe darstellt. Weiters muss man den s/w Druck bedenken (Rot ist sehr schwarz). Zusätzlich werden Farbenblinde Menschen damit nicht bedient, was bei der ersten Grafik doch der Fall ist (wir sollten alle Punkte verbessern, zumindest argumentativ). '''Positiv''' sehe ich deinen Punkt das man erkennen sollte wo es Regionen gibt wo mehr Schnee fällt. Dies ist bei der Nummern Variante nicht der Fall. Entkräftet wird das dadurch das die Nummern bereits Regnionen angeben. Ich bin trotzdem deiner Meinung das das zusätzliche, &quot;grobe&quot; Information enthält die sehr Userfreundlich ist.<br /> <br /> Die Farbe gibt keinerlei zusätzliche Information, macht die Graphik aber &quot;unruhig&quot;.<br /> Damit sich die (schwarzen) Symbole besser vom Rest abheben wäre eine graue Beschriftung denkbar. [Leonhard]<br /> <br /> <br /> ## '''Zeichen''' Müssten um ein 5tes erweitert werden, damit die Skala gleichabstänmdig eingeteilt ist! Leichte Trennbarkeit muss gewährleistet sein.<br /> <br /> Die &quot;neuen&quot; Intervalle sind nicht sehr intuitiv (251 - 375?) und auch ein ziemlicher Eingriff in die Originalaussage.<br /> Wenn schon nur vier Intervalle sein sollen, würde ich das erste von 0 bis 200 gehen lassen, so wie bei der ursprünglichen Graphik.<br /> <br /> Allgemein zu den &quot;Zeichen&quot;: Es ist eben intuitiv klar dass:<br /> &lt;center&gt;<br /> gross = viel<br /> <br /> klein = wenig<br /> &lt;/center&gt;<br /> alles Andere (wie z.B. Farben) dient nur zur Unterstützung und kann nie eine so starke Aussage (wie die Größe der Symbole) sein.<br /> [Leonhard]<br /> <br /> <br /> <br /> ## Balken<br /> # Land<br /> ## Einfache Linien mit Bezirksgrenzen &lt;br&gt;<br /> ## Geländeshape<br /> # Beschriftung<br /> ## Substitution<br /> ## Direkte Beschriftung</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching_talk:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7362 2005-11-01T21:49:46Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>Hallo,<br /> <br /> ich wollt mal die diskussion bezüglich der bilder lostreten..<br /> ich hoffe ihr stimmt mit mir überein den diskussionsteil eher informell zu halten.<br /> <br /> hab die pflichtlektüre ehrlich gsagt bis jetzt nur überflogen, aber ich glaub, dass ich schon halbwegs einen eindruck hab was die sich erwarten.<br /> <br /> erstens muss man definieren, welche information überhaupt rübergebracht werden soll / welche info ich rüber bringen will:<br /> <br /> primärinfo:<br /> man soll auf den ersten blick eine räumliche zuordnung treffen können in welchen regionen viel und wo wenig schnee fällt, jedoch eher unabhängig von den namen der orte - es soll eine art schneeverteilung im land visualisiert werden.<br /> <br /> sekundärinfo:<br /> wie heißen die orte mit xx schneefall.<br /> <br /> nebensächlich find ich topographische informationen und auch die 'verteilungsfunktion' des schneefalls, auch wenns interessant sein mag, ich denk jedoch dass man sich mehr auf die darstellung der primärinfo konzentrieren sollte.<br /> <br /> die gründe für die unterschiede zwischen meiner und eurer graphik/en:<br /> <br /> - die karte die meiner graphik zu grunde liegt ist leer, um die data/ink ratio hoch zu halten<br /> also viel daten mit wenig tinte darstellen - es steht auch in diesen designprinzipien, dass wir die gschichte eher schlicht halten sollten.<br /> mir ist jedoch klar, dass es doch nett ist wenn die gebirgszüge dargestellt werden, da muss man denn eben abwiegen was einen weniger stört: viel tinte oder ein bisschen weniger info.<br /> <br /> - ich hab die orte nicht durchummeriert und die daten daneben dargestellt weil man damit keinen räumlichen überblick gewinne kann wo viel / wenig schnee fällt.<br /> die zuördnung der zahlen im kopf zu den orten geht meiner meinung zu langsam, außerdem kann man gleichzeitig immer nur 2 bis max. 3 orte miteinander vergleichen.<br /> <br /> - die info wieviel schnee fällt hab ich farbcodiert damit sie sofort raussticht. man bekommt beim ersten hinsehen gleich ein bild davon wie die schneelage so verteilt ist.<br /> ich hab bewusst nicht symbole wie stefan genommen, die info beim 1. bild wird durch die größe der symbole also durch die größe der schwarzen flecken codiert - damit stellt man sich unbewusst drauf ein wo mehr schwarz ist, gibt es auch mehr schnee. das problem dabei ist, dass die schrift eben auch schwarz ist und das meiner meinung nach zu einem konflikt führt - bzw. wird die information vl. eine spur verzerrt.<br /> <br /> - ich hab fünf kategorien gemacht damit alle kategorien gleich groß sind. sonst wird die information verzerrt. die daten hab ich von einer anderen website<br /> <br /> - ich bin mir bei meiner graphik noch nicht 100%ig sicher ob die farbwahl wirklich optimal ist, auch wenn ich davon überzeugt bin dass man die info in dem fall farbcodieren soll.<br /> vl. finde ich noch ein colorset, bei dem die einzelnen werte noch besser zu unterscheiden sind, und bei dem man auch sofort unterbewusst die farben richtig sortiert - grün gelb blac rot.. wär halt schlecht, da man dazu keine treffenden ordinale zusammenhang darstellen kann..<br /> <br /> - naja der maßstab ist u.u. auch recht praktisch<br /> <br /> - vielleicht werde ich die graphik noch kleiner machen. sie ist ein bisschn größer als sie sein müsste.<br /> <br /> bitte um eure kritik bez. meiner graphik &amp; was ihr von meinen sichtweisen hält.<br /> <br /> lg, heinrich<br /> <br /> <br /> ----<br /> Ich bitte die Punkte direkt (im Absatz) weiterzuführen, damit wir die jeweiligen Diskussionspunkte besser trenen können!<br /> <br /> # '''Legende'''<br /> ## '''Farbcodierung:''' Sehe ich problematisch, da es erstens nicht klar ist was zu welcher Gruppe gehört (=&gt; Suche nach besserer Frabwahl), was bei 5 Gruppen doch schon eine Aufgabe darstellt. Weiters muss man den s/w Druck bedenken (Rot ist sehr schwarz). Zusätzlich werden Farbenblinde Menschen damit nicht bedient, was bei der ersten Grafik doch der Fall ist (wir sollten alle Punkte verbessern, zumindest argumentativ). '''Positiv''' sehe ich deinen Punkt das man erkennen sollte wo es Regionen gibt wo mehr Schnee fällt. Dies ist bei der Nummern Variante nicht der Fall. Entkräftet wird das dadurch das die Nummern bereits Regnionen angeben. Ich bin trotzdem deiner Meinung das das zusätzliche, &quot;grobe&quot; Information enthält die sehr Userfreundlich ist.<br /> <br /> Die Farbe gibt keinerlei zusätzliche Information, macht die Graphik aber &quot;unruhig&quot;.<br /> Damit sich die (schwarzen) Symbole besser vom Rest abheben wäre eine graue Beschriftung denkbar. [Leonhard]<br /> <br /> <br /> ## '''Zeichen''' Müssten um ein 5tes erweitert werden, damit die Skala gleichabstänmdig eingeteilt ist! Leichte Trennbarkeit muss gewährleistet sein.<br /> <br /> Die &quot;neuen&quot; Intervalle sind nicht sehr intuitiv (251 - 375?) und auch ein ziemlicher Eingriff in die Originalaussage.<br /> Wenn schon nur vier Intervalle sein sollen, würde ich das erste von 0 bis 200 gehen lassen, so wie bei der ursprünglichen Graphik.<br /> <br /> <br /> <br /> <br /> ## Balken<br /> # Land<br /> ## Einfache Linien mit Bezirksgrenzen &lt;br&gt;<br /> ## Geländeshape<br /> # Beschriftung<br /> ## Substitution<br /> ## Direkte Beschriftung</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=7181 2005-10-30T16:35:42Z

<p>UE-InfoVis0506 0227022: /* Confusing graphic */</p> <hr /> <div>==Definition(s)==<br /> <br /> ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.'' [wikipedia.org, 2005]<br /> <br /> ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> ==Abstract==<br /> With modern technologies in the field of office work, reporting and presenting got a major boost in the last few years. The everywhere available color beamer for presentations and easily accessible software has forced a tremendous rise in colorful and media enriched presentations throughout branches.<br /> Does more color and media always help to get the point of a message? Or is it mostly distracting the viewer from the spot of interest? This article wants to focus on what is called &quot;Chart Junk&quot; and defines the parts of charts that are not carrying essentail information, that are not even neutral, but which do disturb the visualization of the data.<br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces, namely ''Chart Junk''. This can be easily seen when we enlarge the picture and mark the points which do not carry information.<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]&lt;br&gt;<br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> The following picture of a 3D Barplot in Excel shows which parts do not carry information and are thus just distracting the viewer away from the real point of interest. This is the height of the bars, which represents some numerical value.<br /> <br /> &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> There is no information in the use of the 3rd dimension which heavily influences the pictures and very much drives the attention towards the depth of the bars and the underlying grid. But this is not at all the information which schould be transported.<br /> <br /> As a very major important fact, the proportions of the areas represented by 3D bars is not in a relation to the actual data value represented. This is because the bar is more or less represented with the front part, the square, and in addition to this wiht the two parts givint the impression of the 3rd dimension.<br /> <br /> One may also want to consider the following error in the proportion of the actually visible areas of a 3D bar.<br /> <br /> &lt;center&gt;<br /> [[Image:Proportion.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Presentation===<br /> The image below also gives a good idea what is meant by &quot;Chart Junk&quot;. The Dollar signs are not at all helpful for the point of interest. This is the way the amount of money develops over the years. As the example shows, this is best presented by a simple line [Maggie Elgin, 2005].<br /> <br /> &lt;center&gt;<br /> [[Image:Junk1.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Confusing graphic===<br /> <br /> This is an example for a confusing graphic, because it does not give you all necessary informations to understand what the message is. <br /> First of all, the labeling of the y-axis is not sufficient, so that you need a long time to find out what the altitude of the bars means.<br /> Further the bars should not be overlapping.<br /> Finally there are two messages mixed up in one graphic so that it is not clear waht the lines mean.<br /> <br /> &lt;center&gt;<br /> [[Image:junk01.gif]]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> To sum up it is to say that Chart Junk is something completely unnecessary. Someone should always stick to the essential part of what he or she wants to deliver to the audience.<br /> <br /> Additionally most Chart Junk is produced because of vanity, and maybe even more because of bad software. It takes some time and experience to find out what is essential, without making boring and sleepy presentations and charts. This time is to be respected, and to be taken serious. Deliver data and information in a efficient and clear way is a major task, even a science.<br /> <br /> Maybe when you are working on your next chart or presentation, and your software suggests some fancy but distracting methods, you just consider the statement below!<br /> <br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org, 2004] Wikipedia, the free encyclopedia, Created at: June 22, 2004, Retrieved at: October 22, 2005&lt;br&gt;<br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] Edward R. Tufte, ''The Visual Display of Quantitative Information''. 2nd Edition, Graphics Press, Cheshire, Connecticut, 1983.<br /> <br /> [Tufte, 1997] Edward R. Tufte, ''Visual Explanations'', Graphics Press, Cheshire, Connecticut, 1997. <br /> <br /> [AHK]<br /> AHK, Die deutschen Auslandshandelskammern in Mercosur. Retrieved at: October 22, 2005&lt;br&gt;<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Junk01.gif&diff=7180 2005-10-30T16:03:02Z

<p>UE-InfoVis0506 0227022: /* Source */</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> UCEF-analysis based on Statistik Regional, Statische Ämter des Bundes und der Länder, Edition 2000.<br /> <br /> == Source ==<br /> http://www.ucef.de/Homepage-englisch/news14-e.html</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Junk01.gif&diff=7179 2005-10-30T16:02:46Z

<p>UE-InfoVis0506 0227022: /* Copyright status */</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> UCEF-analysis based on Statistik Regional, Statische Ämter des Bundes und der Länder, Edition 2000.<br /> <br /> == Source ==<br /> UCEF-analysis based on Statistik Regional, Statische Ämter des Bundes und der Länder, Edition 2000.</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=7178 2005-10-30T16:02:13Z

<p>UE-InfoVis0506 0227022: /* Confusing */</p> <hr /> <div>==Definition(s)==<br /> <br /> ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.'' [wikipedia.org, 2005]<br /> <br /> ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> ==Abstract==<br /> With modern technologies in the field of office work, reporting and presenting got a major boost in the last few years. The everywhere available color beamer for presentations and easily accessible software has forced a tremendous rise in colorful and media enriched presentations throughout branches.<br /> Does more color and media always help to get the point of a message? Or is it mostly distracting the viewer from the spot of interest? This article wants to focus on what is called &quot;Chart Junk&quot; and defines the parts of charts that are not carrying essentail information, that are not even neutral, but which do disturb the visualization of the data.<br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces, namely ''Chart Junk''. This can be easily seen when we enlarge the picture and mark the points which do not carry information.<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]&lt;br&gt;<br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> The following picture of a 3D Barplot in Excel shows which parts do not carry information and are thus just distracting the viewer away from the real point of interest. This is the height of the bars, which represents some numerical value.<br /> <br /> &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> There is no information in the use of the 3rd dimension which heavily influences the pictures and very much drives the attention towards the depth of the bars and the underlying grid. But this is not at all the information which schould be transported.<br /> <br /> As a very major important fact, the proportions of the areas represented by 3D bars is not in a relation to the actual data value represented. This is because the bar is more or less represented with the front part, the square, and in addition to this wiht the two parts givint the impression of the 3rd dimension.<br /> <br /> One may also want to consider the following error in the proportion of the actually visible areas of a 3D bar.<br /> <br /> &lt;center&gt;<br /> [[Image:Proportion.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Presentation===<br /> The image below also gives a good idea what is meant by &quot;Chart Junk&quot;. The Dollar signs are not at all helpful for the point of interest. This is the way the amount of money develops over the years. As the example shows, this is best presented by a simple line [Maggie Elgin, 2005].<br /> <br /> &lt;center&gt;<br /> [[Image:Junk1.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Confusing graphic===<br /> <br /> <br /> <br /> &lt;center&gt;<br /> [[Image:junk01.gif]]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> To sum up it is to say that Chart Junk is something completely unnecessary. Someone should always stick to the essential part of what he or she wants to deliver to the audience.<br /> <br /> Additionally most Chart Junk is produced because of vanity, and maybe even more because of bad software. It takes some time and experience to find out what is essential, without making boring and sleepy presentations and charts. This time is to be respected, and to be taken serious. Deliver data and information in a efficient and clear way is a major task, even a science.<br /> <br /> Maybe when you are working on your next chart or presentation, and your software suggests some fancy but distracting methods, you just consider the statement below!<br /> <br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org, 2004] Wikipedia, the free encyclopedia, Created at: June 22, 2004, Retrieved at: October 22, 2005&lt;br&gt;<br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] Edward R. Tufte, ''The Visual Display of Quantitative Information''. 2nd Edition, Graphics Press, Cheshire, Connecticut, 1983.<br /> <br /> [Tufte, 1997] Edward R. Tufte, ''Visual Explanations'', Graphics Press, Cheshire, Connecticut, 1997. <br /> <br /> [AHK]<br /> AHK, Die deutschen Auslandshandelskammern in Mercosur. Retrieved at: October 22, 2005&lt;br&gt;<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=7177 2005-10-30T16:01:30Z

<p>UE-InfoVis0506 0227022: /* Confusing */</p> <hr /> <div>==Definition(s)==<br /> <br /> ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.'' [wikipedia.org, 2005]<br /> <br /> ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> ==Abstract==<br /> With modern technologies in the field of office work, reporting and presenting got a major boost in the last few years. The everywhere available color beamer for presentations and easily accessible software has forced a tremendous rise in colorful and media enriched presentations throughout branches.<br /> Does more color and media always help to get the point of a message? Or is it mostly distracting the viewer from the spot of interest? This article wants to focus on what is called &quot;Chart Junk&quot; and defines the parts of charts that are not carrying essentail information, that are not even neutral, but which do disturb the visualization of the data.<br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces, namely ''Chart Junk''. This can be easily seen when we enlarge the picture and mark the points which do not carry information.<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]&lt;br&gt;<br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> The following picture of a 3D Barplot in Excel shows which parts do not carry information and are thus just distracting the viewer away from the real point of interest. This is the height of the bars, which represents some numerical value.<br /> <br /> &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> There is no information in the use of the 3rd dimension which heavily influences the pictures and very much drives the attention towards the depth of the bars and the underlying grid. But this is not at all the information which schould be transported.<br /> <br /> As a very major important fact, the proportions of the areas represented by 3D bars is not in a relation to the actual data value represented. This is because the bar is more or less represented with the front part, the square, and in addition to this wiht the two parts givint the impression of the 3rd dimension.<br /> <br /> One may also want to consider the following error in the proportion of the actually visible areas of a 3D bar.<br /> <br /> &lt;center&gt;<br /> [[Image:Proportion.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Presentation===<br /> The image below also gives a good idea what is meant by &quot;Chart Junk&quot;. The Dollar signs are not at all helpful for the point of interest. This is the way the amount of money develops over the years. As the example shows, this is best presented by a simple line [Maggie Elgin, 2005].<br /> <br /> &lt;center&gt;<br /> [[Image:Junk1.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Confusing===<br /> &lt;center&gt;<br /> [[Image:junk01.gif]]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> To sum up it is to say that Chart Junk is something completely unnecessary. Someone should always stick to the essential part of what he or she wants to deliver to the audience.<br /> <br /> Additionally most Chart Junk is produced because of vanity, and maybe even more because of bad software. It takes some time and experience to find out what is essential, without making boring and sleepy presentations and charts. This time is to be respected, and to be taken serious. Deliver data and information in a efficient and clear way is a major task, even a science.<br /> <br /> Maybe when you are working on your next chart or presentation, and your software suggests some fancy but distracting methods, you just consider the statement below!<br /> <br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org, 2004] Wikipedia, the free encyclopedia, Created at: June 22, 2004, Retrieved at: October 22, 2005&lt;br&gt;<br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] Edward R. Tufte, ''The Visual Display of Quantitative Information''. 2nd Edition, Graphics Press, Cheshire, Connecticut, 1983.<br /> <br /> [Tufte, 1997] Edward R. Tufte, ''Visual Explanations'', Graphics Press, Cheshire, Connecticut, 1997. <br /> <br /> [AHK]<br /> AHK, Die deutschen Auslandshandelskammern in Mercosur. Retrieved at: October 22, 2005&lt;br&gt;<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=7176 2005-10-30T16:01:09Z

<p>UE-InfoVis0506 0227022: /* Examples */</p> <hr /> <div>==Definition(s)==<br /> <br /> ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.'' [wikipedia.org, 2005]<br /> <br /> ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> ==Abstract==<br /> With modern technologies in the field of office work, reporting and presenting got a major boost in the last few years. The everywhere available color beamer for presentations and easily accessible software has forced a tremendous rise in colorful and media enriched presentations throughout branches.<br /> Does more color and media always help to get the point of a message? Or is it mostly distracting the viewer from the spot of interest? This article wants to focus on what is called &quot;Chart Junk&quot; and defines the parts of charts that are not carrying essentail information, that are not even neutral, but which do disturb the visualization of the data.<br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces, namely ''Chart Junk''. This can be easily seen when we enlarge the picture and mark the points which do not carry information.<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]&lt;br&gt;<br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> The following picture of a 3D Barplot in Excel shows which parts do not carry information and are thus just distracting the viewer away from the real point of interest. This is the height of the bars, which represents some numerical value.<br /> <br /> &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> There is no information in the use of the 3rd dimension which heavily influences the pictures and very much drives the attention towards the depth of the bars and the underlying grid. But this is not at all the information which schould be transported.<br /> <br /> As a very major important fact, the proportions of the areas represented by 3D bars is not in a relation to the actual data value represented. This is because the bar is more or less represented with the front part, the square, and in addition to this wiht the two parts givint the impression of the 3rd dimension.<br /> <br /> One may also want to consider the following error in the proportion of the actually visible areas of a 3D bar.<br /> <br /> &lt;center&gt;<br /> [[Image:Proportion.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Presentation===<br /> The image below also gives a good idea what is meant by &quot;Chart Junk&quot;. The Dollar signs are not at all helpful for the point of interest. This is the way the amount of money develops over the years. As the example shows, this is best presented by a simple line [Maggie Elgin, 2005].<br /> <br /> &lt;center&gt;<br /> [[Image:Junk1.gif]]<br /> &lt;/center&gt;<br /> <br /> ===Confuseing===<br /> &lt;center&gt;<br /> [[Image:junk01.gif]]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> To sum up it is to say that Chart Junk is something completely unnecessary. Someone should always stick to the essential part of what he or she wants to deliver to the audience.<br /> <br /> Additionally most Chart Junk is produced because of vanity, and maybe even more because of bad software. It takes some time and experience to find out what is essential, without making boring and sleepy presentations and charts. This time is to be respected, and to be taken serious. Deliver data and information in a efficient and clear way is a major task, even a science.<br /> <br /> Maybe when you are working on your next chart or presentation, and your software suggests some fancy but distracting methods, you just consider the statement below!<br /> <br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org, 2004] Wikipedia, the free encyclopedia, Created at: June 22, 2004, Retrieved at: October 22, 2005&lt;br&gt;<br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] Edward R. Tufte, ''The Visual Display of Quantitative Information''. 2nd Edition, Graphics Press, Cheshire, Connecticut, 1983.<br /> <br /> [Tufte, 1997] Edward R. Tufte, ''Visual Explanations'', Graphics Press, Cheshire, Connecticut, 1997. <br /> <br /> [AHK]<br /> AHK, Die deutschen Auslandshandelskammern in Mercosur. Retrieved at: October 22, 2005&lt;br&gt;<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Junk01.gif&diff=7175 2005-10-30T15:59:24Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> UCEF-analysis based on Statistik Regional, Statische Ämter des Bundes und der Länder, Edition 2000.</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7123 2005-10-27T20:26:20Z

<p>UE-InfoVis0506 0227022: /* Suggestion 2 */</p> <hr /> <div>== Poor Graphic ==<br /> [[Image:Few05snowfall.gif|none|thumb|400px|Idaho Ski Resort Annual Snowfall (click on image for larger version)]]<br /> <br /> ----<br /> == Corrected Graphic ==<br /> <br /> [[Image:SnowfallIdaho.jpg]]<br /> <br /> == Informational Content Comparison ==<br /> <br /> {|border=0px cellpadding=3px cellspacing=3px|<br /> !Element<br /> !Poor Graphic<br /> !Worked Graphic<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|legend<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The legend is inconsistent&lt;li&gt; in its symbols&lt;br&gt;&lt;li&gt;in its ranges (not continous)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The symbols are continous and follow the rules for representing non-metric but ordinary classes of ranges [1][Miksch, 2005]&lt;br&gt; Moreover all 4 symbols have evaluated out of the same basic symbol (snowflake), and are thus consistent.&lt;br&gt; Moreover the ranges which are represented by the symbols were made to descend into one another.<br /> |-<br /> |valign=&quot;top&quot;|background (radial gradient)<br /> |valign=&quot;top&quot;|Is distracting the viewer, keeps no additional information.<br /> |valign=&quot;top&quot;|Was omitted from the worked version.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|background (map, the image)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Keeps no information (for the data of snowfall)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Was exchanged by a sattelite view of Idaho, giving an idea about the ladscape around the single spots. Since the graphic is probably for touristic use, this information is useful for the potential clients (viewers).<br /> |-<br /> |valign=&quot;top&quot;|spot indicators (form)<br /> |valign=&quot;top&quot;|Are inconsistent and teh fourth one does not give a good idea where the center actually is (assymetric).<br /> |valign=&quot;top&quot;|The new symbol has a clear center point, representing the spot on the map where the viewer can expect the place named.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|spot indicators (color)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The spot indicators are all of a different color, which can not at all be related to the amount of snow it should represent.<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The color keeps no informations, so the attribute is dumped.<br /> |-<br /> |valign=&quot;top&quot;|spot description (text)<br /> |valign=&quot;top&quot;|The text is in white, which has a too low contrast most of the time due to the irregular color of the background image.<br /> |valign=&quot;top&quot;|The text is written in simple black color.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|spot description (background)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Contrast is not too good with the background of the boxes.<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Whitening the background beneath the text for raising the contrast value for extra clear reading. On the other hand this is keeping the context (background) reasonable recognizeable. [2]<br /> |}<br /> <br /> <br /> == Suggestion 2 ==<br /> <br /> [[Image:Idaho04.gif]]<br /> <br /> == Suggestion 3 ==<br /> <br /> [[Image:Idaho_Snowfall.png]]<br /> <br /> <br /> <br /> [1] [Miksch, 2005] Basic Understanding of Information Visualisation, Course Transparencies, p.29, Retrieved at: October 2005.&lt;br&gt;<br /> http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/PDF-Files/InfoVis-0-Defs.pdf<br /> <br /> [2] [Miksch, 2005] Focus + Kontext, Course Transparencies, p.5 ff, Retrieved at: October 2005.&lt;br&gt;<br /> http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/PDF-Files/InfoVis-1.pdf<br /> <br /> ----<br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]&lt;br&gt;<br /> &lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Idaho04.gif&diff=7122 2005-10-27T20:05:50Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Teaching:TUW_-_UE_InfoVis_WS_2005/06_-_Gruppe_G8_-_Aufgabe_2&diff=7081 2005-10-26T18:39:53Z

<p>UE-InfoVis0506 0227022: /* Suggestion 2 */</p> <hr /> <div>== Poor Graphic ==<br /> [[Image:Few05snowfall.gif|none|thumb|400px|Idaho Ski Resort Annual Snowfall (click on image for larger version)]]<br /> <br /> ----<br /> == Corrected Graphic ==<br /> <br /> [[Image:SnowfallIdaho.jpg]]<br /> <br /> == Informational Content Comparison ==<br /> <br /> {|border=0px cellpadding=3px cellspacing=3px|<br /> !Element<br /> !Poor Graphic<br /> !Worked Graphic<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|legend<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The legend is inconsistent&lt;li&gt; in its symbols&lt;br&gt;&lt;li&gt;in its ranges (not continous)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The symbols are continous and follow the rules for representing non-metric but ordinary classes of ranges [1][Miksch, 2005]&lt;br&gt; Moreover all 4 symbols have evaluated out of the same basic symbol (snowflake), and are thus consistent.&lt;br&gt; Moreover the ranges which are represented by the symbols were made to descend into one another.<br /> |-<br /> |valign=&quot;top&quot;|background (radial gradient)<br /> |valign=&quot;top&quot;|Is distracting the viewer, keeps no additional information.<br /> |valign=&quot;top&quot;|Was omitted from the worked version.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|background (map, the image)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Keeps no information (for the data of snowfall)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Was exchanged by a sattelite view of Idaho, giving an idea about the ladscape around the single spots. Since the graphic is probably for touristic use, this information is useful for the potential clients (viewers).<br /> |-<br /> |valign=&quot;top&quot;|spot indicators (form)<br /> |valign=&quot;top&quot;|Are inconsistent and teh fourth one does not give a good idea where the center actually is (assymetric).<br /> |valign=&quot;top&quot;|The new symbol has a clear center point, representing the spot on the map where the viewer can expect the place named.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|spot indicators (color)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The spot indicators are all of a different color, which can not at all be related to the amount of snow it should represent.<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|The color keeps no informations, so the attribute is dumped.<br /> |-<br /> |valign=&quot;top&quot;|spot description (text)<br /> |valign=&quot;top&quot;|The text is in white, which has a too low contrast most of the time due to the irregular color of the background image.<br /> |valign=&quot;top&quot;|The text is written in simple black color.<br /> |-<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|spot description (background)<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Contrast is not too good with the background of the boxes.<br /> |valign=&quot;top&quot; bgcolor=&quot;#eeeeee&quot;|Whitening the background beneath the text for raising the contrast value for extra clear reading. On the other hand this is keeping the context (background) reasonable recognizeable. [2]<br /> |}<br /> <br /> <br /> == Suggestion 2 ==<br /> <br /> [[Image:Idaho03.gif]]<br /> <br /> <br /> <br /> [1] [Miksch, 2005] Basic Understanding of Information Visualisation, Course Transparencies, p.29, Retrieved at: October 2005.&lt;br&gt;<br /> http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/PDF-Files/InfoVis-0-Defs.pdf<br /> <br /> [2] [Miksch, 2005] Focus + Kontext, Course Transparencies, p.5 ff, Retrieved at: October 2005.&lt;br&gt;<br /> http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/PDF-Files/InfoVis-1.pdf<br /> <br /> ----<br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]&lt;br&gt;<br /> &lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Idaho03.gif&diff=7080 2005-10-26T18:39:19Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Idaho02.gif&diff=7079 2005-10-26T18:37:55Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Idaho01.gif&diff=7078 2005-10-26T18:34:59Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6370 2005-10-23T16:53:54Z

<p>UE-InfoVis0506 0227022: /* Conclusion */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> Again, Edward R. Tufte:<br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations'',<br /> Graphics Press,<br /> 1997. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6369 2005-10-23T16:53:10Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Key Words==<br /> Chart Junk, Bar Chart, Pie Chart<br /> <br /> <br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> Again Edward R. Tufte:<br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations'',<br /> Graphics Press,<br /> 1997. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6368 2005-10-23T16:49:15Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> Again Edward R. Tufte:<br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations'',<br /> Graphics Press,<br /> 1997. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6367 2005-10-23T16:48:47Z

<p>UE-InfoVis0506 0227022: /* Conclusion */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> Again Edward R. Tufte:<br /> &lt;center&gt;<br /> ''&quot;Kill the frills and get to the point!&quot;'' [Tufte, 1997] <br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6366 2005-10-23T16:47:02Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Conclusion==<br /> <br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6335 2005-10-22T08:40:11Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt; [[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6334 2005-10-22T08:40:00Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> &lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> &lt;&lt; [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]<br /> <br /> &lt;&lt;&lt;[[Teaching:TUW_-_UE_InfoVis_WS_2005/06|overview]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6333 2005-10-22T08:37:34Z

<p>UE-InfoVis0506 0227022: /* 3D Pie Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> <br /> For example, compare in the following graphic &quot;Andere&quot; with &quot;Dienstleistung&quot;!<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> Group [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6332 2005-10-22T08:33:18Z

<p>UE-InfoVis0506 0227022: /* 3D Bar Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> * The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg|MS-Icon]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> * &lt;center&gt;<br /> [[Image:3Dbars02.jpg|250px|3D-bars]]<br /> &lt;/center&gt;<br /> <br /> * In addition, if you look at it in this way: [[Image:3Dbars03.jpg|30px|3D-bars]] the proportions of the areas are not correct!<br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> Group [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:3Dbars03.jpg&diff=6331 2005-10-22T07:57:55Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:3Dbars02.jpg&diff=6330 2005-10-22T07:57:34Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=User:UE-InfoVis0506_0227022&diff=6319 2005-10-21T20:27:18Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>'''Leonhard Seyfang'''&lt;br&gt;<br /> 0227022&lt;br&gt;<br /> <br /> '''Studies:'''&lt;br&gt;<br /> Data Engineering and Statistics (531)<br /> <br /> '''e-Mail:'''&lt;br&gt;<br /> seyfang@utanet.at<br /> <br /> '''Group:'''&lt;br&gt;<br /> [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6318 2005-10-21T20:01:56Z

<p>UE-InfoVis0506 0227022: /* 3D Pie Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> The most common Chart Junk might be the ''3D Pie chart''. It makes it real hard to understand the massage. Neither the angles nor the areas are in proportion to the data. Additional the different colours emphasize some of the peaces more then the others. <br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> Group [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6309 2005-10-21T19:37:06Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> Group [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6307 2005-10-21T19:35:51Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 1|Aufgabe 1]]<br /> <br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6303 2005-10-21T19:29:55Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> http://www.edwardtufte.com/tufte/<br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6294 2005-10-21T19:02:59Z

<p>UE-InfoVis0506 0227022: /* 3D Pie Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> &lt;center&gt;<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6292 2005-10-21T19:02:14Z

<p>UE-InfoVis0506 0227022: /* 3D Pie Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> [[Image:mercosur.gif]]<br /> <br /> [AHK]<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6290 2005-10-21T19:01:27Z

<p>UE-InfoVis0506 0227022: /* 3D Bar Chart */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> <br /> ===3D Pie Chart===<br /> [[Image:mercosur.jpg]]<br /> [AHK]<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=File:Mercosur.gif&diff=6288 2005-10-21T19:00:44Z

<p>UE-InfoVis0506 0227022: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6287 2005-10-21T19:00:24Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> [AHK]<br /> AHK Die deutschen Auslandshandelskammern in Mercosur<br /> http://www.mercosur-info.com/al/handelsstatistiken.shtml<br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6285 2005-10-21T18:58:54Z

<p>UE-InfoVis0506 0227022: /* Examples */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> ===3D Bar Chart===<br /> The Icon of the Microsoft&amp;reg; Office Excel &quot;Diagramm-Assistent&quot; shows exactly what it mostly produces namely ''Chart Junk''.<br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft&amp;reg; Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6282 2005-10-21T18:36:31Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> <br /> [Tufte, 1983] <br /> Edward R. Tufte, <br /> ''The Visual Display of Quantitative Information'',<br /> 1983. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6281 2005-10-21T18:33:13Z

<p>UE-InfoVis0506 0227022: /* Definition(s) */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1983]<br /> <br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> <br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6280 2005-10-21T18:32:16Z

<p>UE-InfoVis0506 0227022: /* Bibliography */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1997]<br /> <br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [wikipedia.org]<br /> Wikipedia, the free encyclopedia, <br /> http://en.wikipedia.org/wiki/Chartjunk<br /> <br /> <br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6279 2005-10-21T18:30:15Z

<p>UE-InfoVis0506 0227022: /* Definition(s) */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''Chartjunk is a term for unnecessary or confusing visual elements in charts and graphs. Markings and visual elements can be called chartjunk if they are not part of the minimum set of visuals necessary to communicate the information understandably. Examples of unnecessary elements which might be called chartjunk include heavy or dark grid lines, ornamented chart axes and display frames, pictures or icons within data graphs, and ornamental shading.&lt;br&gt;Another kind of chartjunk skews the depiction and makes it difficult to understand the real data being displayed. Examples of this type include items depicted out of scale to one another and noisy backgrounds making comparison between elements difficult in a chart or graph.'' [wikipedia.org]<br /> <br /> <br /> <br /> <br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1997]<br /> <br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6278 2005-10-21T18:03:32Z

<p>UE-InfoVis0506 0227022: /* Definition(s) */</p> <hr /> <div>==Definition(s)==<br /> <br /> * ''&quot;The interior decoration of graphics generates a lot of ink which does not tell the viewer anything new. The purpose of the decoration varies - to make the graphic appear more scientific, to enliven the display, to give the designer an opportunity to exercise artistic skill. Regardless of the cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk.&quot;'' [Tufte, 1997]<br /> <br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6277 2005-10-21T18:01:11Z

<p>UE-InfoVis0506 0227022: /* Examples */</p> <hr /> <div>==Definition(s)==<br /> ==Examples==<br /> <br /> &lt;center&gt;<br /> [[Image:Icon3.jpg]]<br /> <br /> Microsoft Excel &quot;Diagramm-Assistent&quot;<br /> &lt;/center&gt;<br /> <br /> ==Bibliography==<br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6276 2005-10-21T16:50:44Z

<p>UE-InfoVis0506 0227022: /* Examples */</p> <hr /> <div>==Definition(s)==<br /> ==Examples==<br /> [[Image:Icon3.jpg]]<br /> Microsoft Excel Icon &quot;Diagramm-Assistent&quot;<br /> <br /> ==Bibliography==<br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022 https://infovis-wiki.net/w/index.php?title=Chart_Junk&diff=6275 2005-10-21T16:50:33Z

<p>UE-InfoVis0506 0227022: /* Examples */</p> <hr /> <div>==Definition(s)==<br /> ==Examples==<br /> [[Image:Icon3.jpg]]<br /> Microsoft Excel: &quot;Diagramm-Assistent&quot;<br /> <br /> ==Bibliography==<br /> [Tufte, 1997] <br /> Edward R. Tufte, <br /> ''Visual Explanations: Images and Quantities, Evidence and Narrative'',<br /> Graphics Press,<br /> Cheshire,<br /> 1997. <br /> <br /> ----<br /> Back to [[Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8|G8]]</div>

UE-InfoVis0506 0227022