Today @Vonterinon and I are launching CBFC Watch, an archive of over 1 lakh censorship records for ~18k movies released in India since 2017. For the first time, you can search for any movie and see how they were modified before release. 🔗 https://t.co/35b5d2qIjO

There is something to be written about the feeling of walking on large, empty swathes of land only to reach a wall that says "Manyata" and you realize that there exist entire village-sized plots claimed years ago to make into a tech park where B2B SaaS can be discussed and made.

So. Many. Billboards.

Part 1 last month.

A 40 km walk from Bommasandra to Whitefield. Grasslands, villages, and unexpectedly beautiful lakes on the way. Part 2 in the master plan to circumnavigate Bangalore (part 1 was walking from Jayanagar to Electronic City).

This notebook + web code also means that if you got a similar CSV in the same format as our one, with some tweaks to the notebook and shapefiles you could get this page up and running for any city you want.

For analysis, we use R and write stuff in R Markdown notebooks, which, unlike Jupyter notebooks, are plaintext and nicer. Svelte for making the site, SveltePlot and D3 for making the interactive charts. All open-source: https://t.co/oOsXJfF8Jq Notebook:

Our analysis notebook lives in the same repo, where we can take in the CSV, do whatever we want with it (eg: prototype charts in ggplot), and output the condensed summary as a JSON. Interactive charts can read that data, and this can be kept up to date/changed without worry.

More skeuomorphic signs! HTML/CSS ftw, replicating their real-life counterparts.

This is probably the first time I've managed a network graph in a way I liked. I used workers to shift the simulation off the main thread so that the page doesn't lag while it sets up. More connections were on the same line, so we take a minimum number from both types of travel.

Same as above, I might know what the general map looks like but not specific "routes", so this was a custom routing system for handling interchanges, inter-line commutes. A virtualized list to show all 6k possible commutes so you can click at random ones quickly.

Not everyone's from Bangalore or might know where a specific station is (ik I don't), so instead of just name-dropping places, I reused our metro map component in a tooltip which shows the location of that station in a popover.

A thread of some design/code highlights for me from our 'How Bangalore Uses the Metro' project. 1. The header sign is fully HTML/CSS. 'Go Down Take Up For Toilet' is a real sign at Majestic. Pic: @bengawalk instagram.

https://t.co/phYlHGYEyl

Great to see people asking about how @Vonterinon sourced this data through an RTI. He has put up all documentation in the data repo, including what he sent. https://t.co/4ukzC9LMTp Ours is one take on the data, but it would be nicer to have others. Please use it and create more!

Oops wrong link, here is the data: https://t.co/1Fd2pFOlQd

We were really glad to see BMRCL respond promptly to our RTI. One can hope that one day all government bodies voluntarily publish such data. There is value in open data for the government as much as there is for citizens.

The code for this piece is linked in the methodology section. The raw data including the original Excel from the RTI response and cleaned CSV/Parquet files can be found on GitHub. https://t.co/f0Pgpy6QKg

My favourite part was making this routing system and map showing commutes between stations. https://t.co/6UEXuDCxOX

Where has the new Yellow Line impacted the city the most? What are the most popular metro trips in the city? Which metro stations thrive in the weekend? All this and more in many charts. https://t.co/6UEXuDCxOX

We filed an RTI request with Bangalore's metro authority asking how many people traveled on the metro and got a file with 1.2M rows of data on ridership. In this project, we show our findings on how Bangalore uses the metro. You can find your commute here! Link below.