Comparative Visualizations (2025)

[venkatrajam]

Assignment 3: Comparative Visualizations

One of the most important questions that a visualization attempts to answer is, "Compared to what?" Comparisons are at the heart of understanding quantitative information. To help with easy comparison, we do one or more of the following:

1. Translate -- Apply appropriate measurement scales to comprehend the data. Raw numbers to percentages, time into years, months, days, hours, minutes or seconds, lengths/distances into cms, mts or kms, areas into sq.units, volumes, weights, temperatures, and so on. Negative & log scales.
2. Transform -- Convert measurement scales into something more familiar & relatable to the reader.
3. Transpose -- For impact & surprise, transposition data in unexpected ways.

In this assignment, take a very small dataset and create 3 visualizations by applying translation, transformation and transposition of the data. Post your submission as a comment in this issue.

Some examples:

From the book "If the World Were 100 People: A thought-provoking introduction for children to the people who live on our planet":

World's Tallest buildings:

% of world’s population that live in each Indian state:

Same data transposed with countries with comparable population:

True Size of Africa:

A bunch of animated visualizations in this YouTube channel: https://www.youtube.com/@REDSIDEofficial/videos

Past student works 2023 for reference, but try to do better, I mean way better.

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[tanmaySanwal]

Visualizations of Fatalities of Israel Palestine (2023)

Data and translation

The data of deaths on both side was taken for Israel and Palestine, compared to the total population in terms of percentage and ratio of people who died per person. It is normalized in such a manner to represent the probability of knowing someone who died

Transform
This data is compared to the biggest tragedies in Mumbai as compared to the total population of Mumbai. Using the biggest tragedy the Mumbai flood as a unit to compare deaths on October 7 and Using Set of October 7 to demonstrate the number of people killed in Palestine

Transpose

The data of percentage of fatalities is presented as the states with equivalent population in terms of percent of Indias population

[Sajana-ali]

<style> </style>

Ministry	Revised Cost (₹ Lakh Cr)	% of fund allocation
Ministry of Railways	8.2	29.1
Others	7.1	25.2
Ministry of Petroleum & Natural Gas	5.0	17.7
Ministry of Power	4.2	14.9
Ministry of Coal	2.3	8.2
Department of Water Resources, River Development & GR	1.4	5

[anubhutiaind]

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[anuvinuvind]

Anuvind Krishna, 23B3605
A3: Comparative Visualizations

Original Dataset:
Electricity Consumption in Top 6 Indian States (in Million Units)

State	Consumption (Million Units)
Maharashtra	150,663
Uttar Pradesh	123,383
Gujarat	111,622
Tamil Nadu	101,189
Rajasthan	85,205
Madhya Pradesh	83,437

Electricity consumed by Indians in 2020-2021: 1,270,663 Million Units

Translate

Transform

Transpose

[muskanahuja24]

Source

[pradumnsorte]

Deaths due to Smoking

Data Source: https://ourworldindata.org/smoking#world-health-organization-more-than-8-million-die-from-tobacco-use-every-year

[kushbaranwal]

Data source - https://coffeeboard.gov.in/coffee-statistics.html

[Krishnaanurag]

Impact of New GST rates on Royal Enfield Bikes
Source: https://cleartax.in/s/gst-on-bikes

[uttu162000]

Utkarsha Kate: 24m2249

[somesh-vk]

Somesh Vishwakarma 24M2284

Comparative Data Analysis: Football Transfers Fee of Players.

[khushi-a20]

Khushi (24M2252)

Data

Visualization

[vaishnavi-nagarkar]

Vaishnavi Nagarkar-24m2274

Indian Railway Network

[hexboxlabs]

Karthik SS | IxD | 24m2241

IIT Bombay's Stipend Analysis

Please visit this page:
https://hexboxlabs.github.io/Data-Viz-Assignment-3-Transformations-TA/
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Note:
All data were extracted manually from multiple sources.
Inflation rates were extracted using ChatGPT.
Buying power (Translation) was calculated using ChatGPT.
D3.js coding was done with the help of Claude and Gemini.
Data src: https://docs.google.com/spreadsheets/d/1mwJzWPeQvc5MCwFBzLs5qGSpMmKcSLxT_hh2BY8HyJc/edit?pli=1&gid=979109854#gid=979109854