PMJDY banks data analysis

[vrusha97]

https://github.com/opendatapune/Problem-Statements/wiki/PMJDY-banks-data-analysis

[gnatih]

The problem statement mentions a document that visualises similar data, just that it never got updated. I have initiated a web interface to the datameet-pune/pmjdy repo (using the document as a reference) that will be dynamic and update as and when the data changes.

Idea is to create a frontend for the existing data files and eventually add as many parameters for filtering and visualising the data over time.

[gnatih]

Created basic visualisations for the PMJDY database at https://gnatih.github.io/pmjdy-vis/. Linked the original data repo as a submodule to allow independent database changes. More visualisations for the data will be added incrementally. The repo for visualisations is available at https://github.com/gnatih/pmjdy-vis.

[rhn19]

Team Name : Iklan Rohan Bhide Aditya Mandke Dhruv Jain College : PICT (First Year)

Sorted the DataSets according to Bank Name, Year, Public/Private Bank with a R script. Going to plot interactive graphs from the data next. We are also working on adding layers like population density onto these graphs. The project is at : https://github.com/rhn19/opendatapune-pmjdy

@answerquest Please have a look.

[answerquest]

@gnatih wow this is really cool! Can you also share for learning how one can attach a different repo as submodule?

[gnatih]

Thanks @rhn19 for cleaning up the dataset. I've updated the visualisation sources to use the updated .csv.

@answerquest Using standard git submodule feature.

[ghost]

Team :Rangers Members: Sampreeti Saha Prajakta Keer Shravani Indapure College and Stream:PICT(FE) We have grouped the banks according to public ,private and regional and analysed the no of beneficiaries for each year since pmjdy was started ,especially after major events like demonitization and the budget sessions of each year.The link for the same will be provided soon.

[ghost]

Team:Rangers Problem Statement: PMJDY Bank Data Analysis The files are at https://drive.google.com/file/d/1apolBvcKIGMQ5nMo1yuv72bNezdQt-mg/view?usp=drivesdk And https://drive.google.com/file/d/0Bzvs8p4pk3LUY25CSzBjdFZNOGNyZlMzVjVkX0xjX0dRTktv/view?usp=drivesdk

[rhn19]

Team Name : Iklan Rohan Bhide Aditya Mandke Dhruv Jain College : PICT (First Year)

The project is at : https://github.com/rhn19/opendatapune-pmjdy This is our final submission and briefly, these are the tasks we accomplished:

1. Sorted the cleaned CSV as per Bank Name, Public/ Private Bank, Year using a R script which I have pushed to the repository.
2. Plotted Interactive Graphs using plotly.js
3. Analyse Data & Graphs
4. Relate Data with Population, Demonetization, Elections, Smartphone User Growth

I have uploaded the webpage html docs on the repo. But, due to shortage of time, I couldn't set it to host on Github. This is our final submission for now but I will host it on Github Pages as soon as I get time. @answerquest

[ghost]

Team:Rangers Problem Statement: PMJDY Bank Data Analysis Another file for the same project.. https://drive.google.com/file/d/0Bzvs8p4pk3LUdE1XQTF5cHpreUlZam03Znh2NUV5R0xuamRJ/view?usp=drivesdk

[answerquest]

@redranger003 Hi Team Rangers,

• How about learning from other teams' work and creating a github repo for your submission?
• Also, drive-tip : If you convert your doc to google spreadsheets format, it does something nice with the charts and then you can publish and embed them separately too.
• If you make a github repo then in the readme you could put some explanation of exactly what is there in which file. You can also just write and post the same thing here, but doing things well earns more points.
• Shortcut in place of github repo if you only have to link to stuff : create a gist. Name the file with .md extension to make it a markdown document.
• Links in markdown can be written as : [file 1](https://......) makes them easier to handle. Keep seeing the preview tab.

[answerquest]

@rhn19 Nice work, team Iklan! We'll post updates here in case there can be any changes.