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Amit Shirsath
Knowledge Hub
Text Classification using TF-IDF
What is cosine similarity
Learning Path
Learning Path # 1: Download, compile and visualize India Census 2011 data
Learning Path # 2: Download, compile and visualize NSE stock price data
Amit Shirsath
Knowledge Hub
Text Classification using TF-IDF
What is cosine similarity
Learning Path
Learning Path # 1: Download, compile and visualize India Census 2011 data
Learning Path # 2: Download, compile and visualize NSE stock price data
More
Knowledge Hub
Text Classification using TF-IDF
What is cosine similarity
Learning Path
Learning Path # 1: Download, compile and visualize India Census 2011 data
Learning Path # 2: Download, compile and visualize NSE stock price data
Learning Path # 1: Download, compile and visualize India Census 2011 data
Write python code to download census 2011 data at village level for all districts in India
Open this website.
http://censusindia.gov.in
Go to Directory ---> Population Enumeration Data ---> Primary Census Abstract Data C.D. Block Wise (Excel Format)
Download all the files for each state
Understand census data structure and create a database structure in MySQL
Create master tables for State, District, Taluka, Village/Ward/Town
Create a separate table for data
Connect all these tables using primary and foreign keys
Create routines for showing a particular data for a state / district / taluka / village / ward / town
Create indexes to speed up query execution. Ideally, any query should execute in less than 100 ms
Create a public web page for displaying census data
Design a web page using Pencil or other wireframing tools. This should be done simultaneously with Point 2.4 above
Create a web server and an HTML page using Django library in Python
Use D3.js charts or Google charts to show census data in chart and table format
Create an android mobile app for displaying census data
Design screens for the app using Pencil or other wireframing tools. This should be done simultaneously with Point 2.4 above
Use the same web server, charts and routines created above to fetch and visualize data
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