https://github.com/greed2411/ndl

Numbers Don't Lie, attempt on Data Analysis using pandas and matplotlib.
https://github.com/greed2411/ndl

cities data-analysis data-science data-visualization india kaggle

Last synced: about 1 month ago
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Numbers Don't Lie, attempt on Data Analysis using pandas and matplotlib.

• Host: GitHub
• URL: https://github.com/greed2411/ndl
• Owner: greed2411
• Created: 2017-06-27T16:38:24.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-08-16T06:19:19.000Z (about 8 years ago)
• Last Synced: 2025-07-30T09:45:50.574Z (3 months ago)
• Topics: cities, data-analysis, data-science, data-visualization, india, kaggle
• Language: Jupyter Notebook
• Homepage:
• Size: 1.68 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Numbers Don't Lie

Analysis on cities of India, and what they do have to say about our nation.

**Kaggle submission.**

Data set : [here](https://www.kaggle.com/zed9941/top-500-indian-cities/downloads/cities_r2.csv) or use the one from repo.

### Dependencies required

  * [pandas](https://pandas.pydata.org/pandas-docs/stable/) - For data analysing and manipulation.

  * [matplotlib](https://matplotlib.org/) - For data visualisation.

  

### Actual data set used : December 2016 version, which only had 493 cities.

### Analysis made on the data set as of June 2017

  * Number of cities : **493**

  * Number of states : **29**

  * Most number of cities are in the state:  **UTTAR PRADESH**

  * Number of cities in **UTTAR PRADESH** :  **63**

  * Least number of cities belong to these states and their counts

  

        HIMACHAL PRADESH             1

        CHANDIGARH                   1

        TRIPURA                      1

        MIZORAM                      1

        NAGALAND                     1

        MANIPUR                      1

        MEGHALAYA                    1

        ANDAMAN & NICOBAR ISLANDS    1

  * There are two **Aurangabad**(s) in the nation, 

  

       * one belonging to **BIHAR**

       * second one belonging to **MAHARASHTRA**

    

  * Top 5 States with the maximum number of Cities

      

          UTTAR PRADESH     63

          WEST BENGAL       61

          MAHARASHTRA       43

          ANDHRA PRADESH    42

          TAMIL NADU        32

    

  * States vs City counts

      

      ![States&citycounts](/../images/figure_1.png?raw=true "States and city counts")

  * States vs District counts

      ![States&districtcounts](/../images/figure_1-1.png?raw=true "States and district counts")

  * Each city and it's district number plot

    

      ![City&districtnumber](/../images/figure_1-2.png?raw=true "City and district number")

      

    This graph made me analyse and conclude that

      

     * The most common district numbers are `11`, `9` and `12` not the conventional `1`, `2` and `3`.

     

     * District Number, and their occurences and percentage they contribute to the total district count.

        Example : District Number `11`, there are `37` districts in our India numbered `11`, which contributes to `7.51%` of                   total number of districts in India.

        

                                        District Counts  Percentage Index

            District Number                                   

            11                            37              7.51

            9                             26              5.27

            12                            24              4.87

            1                             22              4.46

            3                             22              4.46

            21                            21              4.26

            

    * `95.94%` of districts have their district number value which is less than `50`

    

  * District numbers and their frequency

    

      ![districtcounts](/../images/figure_1-3.png?raw=true "District frequency")

      

     * The above graphs tells us that there are no district numbers from 72 to 98 and few numbers here and there in the 40s & 50s

            

          Actual missing district numbers : 

            

            40, 42, 43, 45, 51, 53, 55, 56, 58, 67, 69, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98

            

   * Missing State Codes

     

          11, 12, 25, 26, 30, 31