I have added live charts to the IDVC ( Idly Dose Vada Coffee Price) project page. It’s the current year’s stats.
Tagged: Open Data
Bangalore Darshinis are a class apart. They provide very affordable, clean, accessible food throughout the day. I have not seen this in many other cities. Most of the darshinis have the same or somewhat similar menu. They all have idli, vada (vada), dose(dosa), and coffee. So I figured to see if the city is affordable, the measure of these would be a good indicator, like an IDVC Index. Latte Index somewhat inspires me.
Everything we map goes directly to OpenStreetMap. The data on OpenStreetMap is available for free under ODBL. The easiest way to download Surveillance in Bengaluru data is from Overpass Turbo. I have written some queries below that you can use on Overpass Turbo to get the data. I also have a demo video for you.
One of the primary jobs as a Data Archivist at DataMeet is to download and archive the data from the internet. Mostly from government websites. I usually use python scripts to download, scrape and clean the data. But sometimes, I just need to download many files and store them. I could still use python, but its an overkill. So here are some of the methods that I use.
As you would know, I scrape a lot of web pages as a Data Archivist at DataMeet. I usually use BS4 for this, and it’s beautiful, simple, and works. But often don’t want to write a python script to do that, and I need a simple tool to get data out of HTML.
We have made updates to DataMeet’s COVID19 dataset to include new columns. Also, we have added SQLite DB. In case you like SQLing.