Data Visualization
- 1. Data Visualization (a compliment to data.gov.in) Team 4: Ritesh Modi (201405518) Shefali Soni (201405619) Aditya Jindal(201230010) Prabhsimran Singh(201201058) Guided By: Dr. Vasudeva Varma Mentor: Vishrut Mehta International Institute of Information and Technology
- 2. Introduction Data visualization tool provides a platform to graphically visualize data provided in Json format, preparing various charts, thus enabling users to extract meaningful information and establish context. Motivation: 1. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization. 2. Complex data to simple visuals 3. Easy analysis of huge dataset 4. Saves time and effort required to make decisions based on complex dataset 2
- 3. Data in Tabular Format 3
- 4. Data in Graphical Format 4
- 5. Approach 1. A file containing JSON information is uploaded on to the server. This input file is in compliment with the data available on data.gov.in 2. The input file will then be parsed and displayed to the user. 3. User can then select the chart type from the list. 4. The data is then uploaded to the server and fed to the charting api to construct a chart. 5. Chart is constructed and rendered on screen for analysis. 5
- 7. Technologies Used Input File - JSON format. At server end JSON data is parsed to make it compatible to that of charting APIs used. API to create charts - Highcharts.js Backend - Python + Flask UI enhancements - Twitter Bootstrap. 7
- 8. Visualization Techniques Various visualization techniques are used in tool to view the data: 1. Line Chart - displays information as a series of data points called 'markers' connected by straight line segments. 2. Bar Chart - presents Grouped data with rectangular bars with lengths proportional to the values that they represent. 3. Column Chart - graphic representation of data. Column charts display vertical bars going across the chart horizontally, with the values axis being displayed on the left side of the chart. 4. Area Chart - displays graphically quantitative data. It is based on the line chart. 5. Bubble Chart - displays three dimensions of data. 6. Pie Chart - a type of graph in which a circle is divided into sectors that each represent a proportion of the whole. 7. Scatter Chart - has points that show the relationship between two sets of data. 8
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- 10. Unique aspects of tool Highlights: The chart supports various features which would help to further improve the visualization: 1. Selecting a particular range and zoom in-out, 2. Scrolling for large data across the x-axis, 3. Including or excluding a particular data range in graph created, 4. Downloading the chart in pdf, or jpeg format, etc. 10
- 11. System Input and Output Input File: File containing data to visualize in JSON format Output: User has the capability to visualize charts of various types for the data he uploads to the server. Probable chart types are: 1. Line Chart 2. Bar Chart 3. Column Chart 4. Area Chart 5. Bubble Chart 6. Pie Chart 7. Scatter Chart 11
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- 16. Applications The tool could be used by below users: ● Policy Makers ● NGOs ● Ordinary citizen 16
- 17. Thank you 17