SSLC: Data and Infographics

Cross posted from the KLP Blog.

Right after releasing the visualization of SSLC results of the past seven years, there were several questions about the data and what each of image tries to bring out of it. We thought it would make sense to iterate over the data and detail each of the infographic that we designed.

The data set contained information about SSLC results over the last seven academic years (2004-2005 to 2010-2011) for each educational district in Karnataka. This was separated for Government and Private schools, as well as by Gender. It also had subject aggregates and medium information. The result set has been processed to determine one of the two parameters below:

Pass percentage is a percent representation of the number of students who passed the SSLC exam in the given academic year over the total number of students who appeared for the exam in the same year across a district as visualized by a parameter such as Government schools vs. Non-government schools or Boys vs. Girls. 

Average mark or average passing mark in any particular subject (Math, English or Kannada) is the marks scored in the subject averaged over all the students who have passed in the subject in a given academic year across the district again as visualized by a parameter such as Government schools vs. Non-government schools or Boys vs. Girls or across different mediums of instruction. The entire infographic is based on these parameters. 

We decided to look at three aspects of the data for the beta release:
1. How are government and private schools performing in contrast to each other?
2. How are they performing in Mathematics, Kannada and English?
3. How does girls and boys perform in contrast to each other?

All three question were asked for every district over the seven academic years.

The map serves as the primary navigation to entire infographic. The data was carefully aggregated at the district level. A map of this sort is called a Choropleth. Each color is tied to a specific value as indicated by the legend. The map tries to show the performance of each district at a high level – with the lighter shade of blue being bad performance while the darker shade of blue depicts better performance.

The information box is on the right side of the map, shows the academic year, name of the district when it’s either hovered or clicked upon. The year selectors below the map will update the map colors with the respective data. Click on the play button to see how each district’s performance changes from year to year. Clicking on a district will let you explore the other visualizations.

The first bar chart shows the pass percentage of government and private schools over the past seven years. Private schools perform better than government schools in all the districts. We hope no one is surprised about this fact. One can hover over the bars to get the exact percentage value in the information box. Everything is interactive and automatically updated.

The set of three bar charts that you see in the next section shows the performance of government and private schools in Mathematics, Kannada and English respectively. This comparison is also based on the percentage of scores aggregated from child level data for government and private schools. Hover over the bars to see the exact percentage value. It’s not surprising to see that private schools perform better in every subject across the years in every district. The Government schools trail behind in most districts across the years.

The third aspect that we wanted to showcase was gender. How are boys and girls performing when compared to each other? The set of icons that you see in the third section shows this. Clicking on a district changes the colors. Green shows who’s doing better. In private schools, girls dominate all the way. There’s a mixed pattern in government schools. You can hover over the icons to see the exact pass percentage.

We hope to bring out aspects of medium and how that is influencing learning in different languages in the next iteration of the infographic. If you have specific questions about how this was built or want to see other aspects of data, leave a comment or drop us a line at

Leave a Reply

Your email address will not be published. Required fields are marked *