Its exciting to interact with data.gov.in API an Open Government Data initiative by the Government of India.
Very limited datasets are available at the moment. But extremely promising. So I thought of playing around with the intensity of post offices ( a data set readily available through API ) and see the results.
Unfortunately the data for J&K , Telengana have issues with data provided.
All post offices in the districts Bangalore HQ & South Karnataka Region even have the map co-ordinates.
While this is purely an exercise to demonstrate the capability to visualize data sets the opportunities are limitless.
Top 3 states by count of post-offices.
This ranking does not match with the population on a descending sort . It means that the distribution of a post-office per 1000 citizens will have variation. It might be interesting to pursue this further by looking at further statistics such postal transactions , packets delivered by state to identify utilization of post offices in respective states and correlate it with the intensity of post-offices. This way planners from the relevant Ministry can decide course of action for opening new post-offices based on demand supported by the data-analysis.
Link to Final Data Set
Visualization
Would love to hear feedback.
Very limited datasets are available at the moment. But extremely promising. So I thought of playing around with the intensity of post offices ( a data set readily available through API ) and see the results.
Unfortunately the data for J&K , Telengana have issues with data provided.
All post offices in the districts Bangalore HQ & South Karnataka Region even have the map co-ordinates.
While this is purely an exercise to demonstrate the capability to visualize data sets the opportunities are limitless.
Top 3 states by count of post-offices.
| Rank | State | Count Of Post Offices |
| 1 | Uttar Pradesh | 17674 |
| 2 | Maharashtra | 12610 |
| 3 | Tamil Nadu | 11870 |
This ranking does not match with the population on a descending sort . It means that the distribution of a post-office per 1000 citizens will have variation. It might be interesting to pursue this further by looking at further statistics such postal transactions , packets delivered by state to identify utilization of post offices in respective states and correlate it with the intensity of post-offices. This way planners from the relevant Ministry can decide course of action for opening new post-offices based on demand supported by the data-analysis.
Link to Final Data Set
Visualization
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