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ICF-PJSI

Indicator Frameworks for Sustainability | Localising and Adapting SDG frameworks Using National Public Datasets | Peace, Justice and Strong Institutions

Commits over the course of the Project

This project was done at TISS for the 3rd semester and was developed accordingly afterwards. All coding outside excel started since 23-12-2024. The plan is to publish this (Scrollytelling + Interactive Indicator Sandbox) for Closeread's submissions

23-12-2024

  • Created 2 trial versions of the RShiny application without maps.
    • Faced issues with coding across the dataset.
    • Explored the Closeread documentation briefly and gleaned some insights.

Tasks for the Next Commit:

  • Explore the application further.

24-12-2024

  • Created 2 trial versions with maps but failed to achieve desired results.
  • Explored how GenAI can assist with coding.
  • Investigated the limitations of RShiny.

Tasks for the Next Commit:

  • Create a version without complex UI/UX elements but use ggplot for prototyping.
  • Develop a structured pseudocode as a foundation.

25-12-2024

  • Created 3 grid graphs for prototyping:
    1. A map application using SHPs.
    2. Barcharts displaying indicators and states for each target.
    • Simplified the process using these approaches.
  • Implemented filters for target variable values.
  • Converted the grids into an actionable UI.
  • Applied a color scheme to create a gradient base under UI Prototype version 2.1.
  • Began documenting commits (this format starts here).

Tasks for the Next Commit:

  • Reduce loading times from 5–10 seconds to under 1 second.
  • Use GitHub for managing the commit process.
  • Improve the current layouts (the existing ones are suboptimal).
  • Add functionality:
    • If a user clicks a state or indicator, navigate to a different page within the project that shows a matrix of states and indicators as rows and columns, highlighting the relevant row, column, or cell.
  • Design a layout superior to NITI Aayog’s.
  • Further explore Closeread for integration.
  • Develop a scrollytelling narrative using Closeread.

26-12-2024

  • Set up the GitHub site.
  • Created the GitHub R Workspace and Imported all the files under this repository ICF-PJSI.
  • Added the average view for the dropdown.

27-12-2024

  • Repaired the sliders to publish version 1.3.5 with better dropdowns.
  • Major Layout changes with fluidpanels covering most of it in version 1.4.0:
    • Sliders now are in fluid panel control.
    • The State view and the Indicator view are more compact with the 'tabsetpanel()' and 'tabpanel()' functions giving good hierarchy.

image

28-12-2024

  • Re-invented the layouts by adding page views Dashboard and Heatmaps for better understanding of the file under version 1.4.1 and 1.4.2

image

04-01-2025

  • Started the Closeread again. Tinkered with the already existing suggestions and their code.
  • Worked on a CSS for the whole setup.
  • Saved all the graphs as images to speed up loadtimes, at the cost of interactiveness.
  • Setup the Data Storytelling.

05-01-2025

SCRS

08-01-2025

  • Refined on the Data
  • Better Methodology and Explanations
  • Added the Bottom-3 Averaging Method
  • Changed some wrong plots
  • Limitations added