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Data Expedition: Do Din Edition

Do Din is an Hyderabad City Event focused on looking at how Hyderabad is progressing and changing. The organizers Hyderabad Urban Labs and Right to the City have this event every year to create a space to allow people to exchange ideas, understand problems, and share solutions for different aspects of urban life.

As part of my fellowship with School of Data I thought, Do Din would be a great place for us to have our joint data event. We worked with Do Din to make Hyderabad related datasets available and people familiar with those datasets, while DataMeet and School of Data runs the event and provide experts in mapping and design.

We had almost 30 participants throughout the day, from various backgrounds. We explore what data was and the issues around getting it and using it.

Then we looked at the data we had available. We focused on 3 data sets.

  1. Bus Transport data – routes, stops, types of buses, and income of buses.
  2. Slum data – location of slum
  3. Complaints registered regarding lakes in the city.

These were the cleanest and most accessible datasets.

After going through the data and working out the confusing unclear parameteres we split into groups to start working on datasets.

5 groups were there and each worked on a data set.

  1. Group one worked on slum data
  2. Group two worked on the lake data
  3. Group three also worked on the lake data
  4. Group four worked on the slum data
  5. Group five worked on the bus data.

Each group had a mix of technical, design, analytical, coder skills. So we were excited to see the various outputs.

After working through the data each group presented their outputs.

Group One

Produced a basic map of slums and population

Group Two

They had mapped the lakes and then did analysis based on what complaints were registered to each lake.

Group Three

Used Carto DB to make a map of the lakes

Group Four

Made a map of the slums.

Group Five

Did analysis on which types of bus made the most money over the course of their trips.

Learnings

While the outputs were great it was a fantastic exercise in working with datasets and different types of people. Probably one of the best data related events we have hosted.