Teaching:TUW - UE InfoVis WS 2010/11 - Gruppe 05 - Aufgabe 3: Difference between revisions

Latest revision as of 01:00, 18 January 2011

Interactive visualization[edit]

Introduction[edit]

Based on a report [1] of the Unicef, who tries to enable a greater access to drinking-water and sanitation for people all over the world. A visualization was created that shows the access to these resources in addition to the amount of population. The situation of the urban population is by far better, in comparison to the rural population. The main reason behind this are the worse living conditions of the rural population.

884 Million people do not use improved sources of drinking - water. 2.6 Billion people do not use improved sanitation, just 61 percent of human civilization have access to improved sanitation. With this in mind a visualization was created which enables the viewer an easy way to view and understand the presented data.

The visualization can be found here:

http://mikazuki.github.com/infovis-ws2010-ex3

Analysis of the dataset[edit]

The dataset[2] is contains datapoints for the years 1990, 1995, 2000, 2005 and 2008.

Some data instances had missing values. Therefore just complete data instances were used.

The main characteristics of the dataset are:

multivariate
temporal
mostly numeric values (except country names)
hierarchies
- countries are part of continents
- piped and other are part of improved for water
- open defecation, shared and other are part of unimproved

The composition of the data is the following:

all data (totals)
- urban
- rural
- water
  - improved (totals)
    - piped
    - other improved
  - unimproved
- sanitation
  - improved
  - unimproved (totals)
    - open defecation
    - shared
    - other

Analysis of the users[edit]

The main audience for the created visualization are people with interest in global politics. But also viewers with an other background should be able to use the visualization and find the information they need in a fast way. The visualization mainly focuses on showing the viewer the development of the attributes, so that users are able to investigate how the conditions changed over time.

Analysis of the tasks[edit]

The main intend behind this is to show how the attributes develop over time in the single countries and continents. A easy away has to be provided, comparing the development of single countries, to find out which countries are in need of humanitary help.

Different questions can be answered by this interactive visualization, e.g.:

Which continent has more access to important resources?
How has the growth of access to a resource in a continent improved that the countries on that continent?
How much did a specific attribute grow in the last few years?

Visualization design[edit]

The Job Voyager[3] visualization was chosen as basis for the created visualization. The main focus is to represent a stacked time series of the data. The data which should be shown can be filtered by population and its attributes. The visualization mainly consists of two charts. The first one shows the attribut development for the continents. The user is able to move the mouse over single continentes to display the name of this continent. It's also possible to select a continent by clicking. If a continent is selected a second chart compares the development of the countries of this continent. If the user is moving the mouse over the area of a country, the actual name of the country is shown as label in the left upper corner of the chart. The values of the different years are shown as additional permanent labels inside the chart.

advantages

main focus on development over time
the ability to extend the chart
main information on one site
fluent workflow
dependencies of different variables
big dataset shown in an easy to understand way

disatvantages

big differences among attributes are hard to represent
many countries in one chart are confusing sometimes
details hard to read
sometimes difficult to find a specific country

Conclusion[edit]

The chosen visualization focuses on time oriented data. Main focus was to show the development of the specific attributes over time. Overall the visualization satisfies this purpose in an easy readable way.

References[edit]

[1] [Unicef, 2010] Unicef. Progress on Sanitation and drinking-water: 2010 Update. JMP report - World Health Organization and UNICEF 2010, 1–55, 2010.http://www.wssinfo.org/fileadmin/user_upload/resources/1278061137-JMP_report_2010_en.pdf.

[2] [WHO, Unicef, 2003-2010] WHO - UNICEF. Protovis: Joint Monitoring Programme (JMP) for Water Supply and Sanitation. Created at: 1990. Retrieved at: January 15, 2011. http://www.wssinfo.org/data-estimates/table/.

[3] [Bostock, Heer, 2009] Michael Bostock and Jeffrey Heer. Protovis: A graphical tool for visualization. Created at: March 31, 2009. Retrieved at: January 15, 2011. http://vis.stanford.edu/protovis/ex/jobs.html.

@@ Line 2: / Line 2: @@
 === Introduction ===
-Based on a report [1] of the Unicef, who tries to make a greater access to dinking-water and sanitation for humans all over the world, we made a visualization, which presents the access to it in addiction to the number of the population. The maintenance of the urban population is far better developed, in comparison to the rural population. The main reason therefore is that the rural population has harder and bigger geographic conditions.
+Based on a report [1] of the Unicef, who tries to enable a greater access to drinking-water and sanitation for people all over the world.
+A visualization was created that shows the access to these resources in addition to the amount of population.
+The situation of the urban population is by far better, in comparison to the rural population.
+The main reason behind this are the worse living conditions of the rural population.
 Million people do not use improved sources of drinking - water.
-.6 Billion people do not use improved sanitation, just 61 percent of human civilization does it.
+.6 Billion people do not use improved sanitation, just 61 percent of human civilization have access to improved sanitation.
-With this in mind, we tried to show a analysis of the all regions over the world, which we have the information of.
+With this in mind a visualization was created which enables the viewer an easy way to view and understand the presented data.
-This link leads you to the representation of the dataset.
+The visualization can be found here:
-*[http://keine_Ahnung_was - interactive visualization (LINK !??? )]
+* http://mikazuki.github.com/infovis-ws2010-ex3
 === Analysis of the dataset ===
-The dataset[2] is continuous over the time from 1990 to 2008.
+The dataset[2] is contains datapoints for the years 1990, 1995, 2000, 2005 and 2008.
-In an interval of every 5th year, in each country have been made entries of the (un-) improved sources of drinking water, the sanitation and the people who gained access to it. But not all datasets of all countries are filled in the dataset, so we took just the completed ones.
-The application area is the progress on all datasets, which shows us a multidimensional datastructure.
+Some data instances had missing values. Therefore just complete data instances were used.
+The main characteristics of the dataset are:
 * multivariate
 * temporal
-* numeric
+* mostly numeric values (except country names)
 * hierarchies
-* countries < continents
+** countries are part of continents
+** piped and other are part of improved for water
+** open defecation, shared and other are part of unimproved
+The composition of the data is the following:
 * all data (totals)
 ** urban
@@ Line 29: / Line 36: @@
 **** piped
 **** other improved
+*** unimproved
 ** sanitation
+*** improved
 *** unimproved (totals)
 **** open defecation
@@ Line 35: / Line 44: @@
 **** other
+=== Analysis of the users ===
+The main audience for the created visualization are people with interest in global politics. But also viewers with an other background should be able to use the visualization and find the information they need in a fast way.
+The visualization mainly focuses on showing the viewer the development of the attributes, so that users are able to investigate how the conditions changed over time.
-<u>fehlt hier noch etwas?  diese auflistung scheint etwas komisch !? </u>
+=== Analysis of the tasks ===
-=== Analysis of the users ===
+The main intend behind this is to show how the attributes develop over time in the single countries and continents.
-We declare the experts of preparing the sources of drinking water as the target audience of the visualization.
+A easy away has to be provided, comparing the development of single countries, to find out which countries are in need of humanitary help.
-But users, doctors and inhabitants of the regions are also able to look and understand this graphic.
-The shown dataset might be a reference for medical supporters, to know where the derivation of the complaints comes from.
-Our diagram might let you find out the coherence between different variables and dependence on time.
-=== Analysis of the tasks ===
+Different questions can be answered by this interactive visualization, e.g.:
-What do we want to reach with our visualization?
+<!-- * Are there any dependencies of attributes, which affect different countries? -->
-We want to show the community the circumstances of the poor civilization.
+* Which continent has more access to important resources?
-Not just a picture of a point, but all information over the globe in a diagram where  you can easily read the information from and compare with other countries. You can see on the first sight, which countries need more assistance to reach better results.
+* How has the growth of access to a resource in a continent improved that the countries on that continent?
-Different questions can be saved, like:
+* How much did a specific attribute grow in the last few years?
-Are there any dependencies, which affect different countries?
-Which continent has more access?
-How much has it been grown in the last few years (max. to 1990)?
 === Visualization design ===
-We chose the Job Voyager[3] as a design output, to represent the stacked time series of the reported sampled data.
+The Job Voyager[3] visualization was chosen as basis for the created visualization. The main focus is to represent a stacked time series of the data.
-The data which should be shown can be filtered by population and its attribute.
+The data which should be shown can be filtered by population and its attributes.
-A characteristic of the area under the drawn line in the chart is, that it shows us the bigger it is the bigger is it's value.
+The visualization mainly consists of two charts.
-So you are able to see the countries in the chart, which have better prospects.
+The first one shows the attribut development for the continents. The user is able to move the mouse over single continentes to display the name of this continent. It's also possible to select a continent by clicking.
-Furthermore the user has a interaction with the visualization by moving his mouse over the chart.
+If a continent is selected a second chart compares the development of the countries of this continent.
-So the user has the facility to choose the continent bye mouse-over and look at it's countries.
+If the user is moving the mouse over the area of a country, the actual name of the country is shown as label in the left upper corner of the chart.
-In the left upper corner of the site, the actual name of the country gets shown, by moving the mouse over the area of this country.
+The values of the different years are shown as additional permanent labels inside the chart.
-The measured values of the different years are not shown just on the y-axis, but also on every point of time in the chart.
 [[Image:screenshot_job_voyager.png|thumb|300px|left|Figure 1: visualization]]
 <u>advantages</u>
+* main focus on development over time
 * the ability to extend the chart
 * main information on one site
-* fluently workflow
+* fluent workflow
-* dependencies on different variables
+* dependencies of different variables
-* big dataset, as a smart visualization
+* big dataset shown in an easy to understand way
 <u>disatvantages</u>
-* big numbers, hard to represent
+* big differences among attributes are hard to represent
-* many countries in one chart confuses sometimes
+* many countries in one chart are confusing sometimes
 * details hard to read
 * sometimes difficult to find a specific country
 === Conclusion ===
@@ Line 90: / Line 90: @@
 === References ===
-:[1] [Unicef, 2010] Unicef. Progress on Sanitation and drinking-water: 2010 Update. '' World Health Organization and UNICEF 2010'', 1–55, 2010.
+:[1] [Unicef, 2010] Unicef. Progress on Sanitation and drinking-water: 2010 Update. ''JMP report - World Health Organization and UNICEF 2010'', 1–55, 2010.http://www.wssinfo.org/fileadmin/user_upload/resources/1278061137-JMP_report_2010_en.pdf.
 :[2] [WHO, Unicef, 2003-2010] WHO - UNICEF. Protovis: Joint Monitoring Programme (JMP) for Water Supply and Sanitation. Created at: 1990. Retrieved at: January 15, 2011. http://www.wssinfo.org/data-estimates/table/.
 :[3] [Bostock, Heer, 2009] Michael Bostock and Jeffrey Heer. Protovis: A graphical tool for visualization. Created at: March 31, 2009. Retrieved at: January 15, 2011. http://vis.stanford.edu/protovis/ex/jobs.html.