https://github.com/mihikagaonkar/OTC-Dashboard

A Power BI/Google Studio Dashboard to analyze previous OTC CatchUps
https://github.com/mihikagaonkar/OTC-Dashboard

data-studio data-studio-dashboard data-studio-google data-visualization powerbi visualization

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A Power BI/Google Studio Dashboard to analyze previous OTC CatchUps

• Host: GitHub
• URL: https://github.com/mihikagaonkar/OTC-Dashboard
• Owner: mihikagaonkar
• License: mit
• Created: 2022-02-05T17:13:04.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-19T13:28:04.000Z (over 2 years ago)
• Last Synced: 2024-08-02T17:36:17.406Z (3 months ago)
• Topics: data-studio, data-studio-dashboard, data-studio-google, data-visualization, powerbi, visualization
• Language: Jupyter Notebook
• Homepage: https://mihikagaonkar.github.io/OTC-Dashboard/data_studio
• Size: 300 KB
• Stars: 11
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# OTC CatchUp Dashboard

A Power BI/Google Studio dashboard analyzing OTC CatchUps.


## File Contents

```

*

├───data

    ├───old summaries

        ─── *.md

    ├─── *.csv

├───scripts

    ├─── *.ipynb

├───results

└───

```

- data folder 

  - Contains markdown files of CatchUp summaries starting from CatchUp #11 to CatchUp #53 with a few missing.

  - Final csv files used to make visualizations.

- OTC CatchUp summary scraper.ipynb - Code to scrape OTC catchup summaries from CatchUp #54 available on the [OTC website](https://catchup.ourtech.community/summary).

- old otcs.ipynb - Code to extract relevant data from the summaries and saving it to  old_otcs.csv.

- data cleaning.ipynb - Code to merge the csv files and get all the columns in the right format for visualization.

## Results



  



- The first graph shows the duration of the sessions in descending order. OTC CatchUp #61 was the longest session which went on for 14.08 hours i.e. 14 hours 6 minutes

- The second graph displays the duration of the session as per the date of the session.

- The average duration of the sessions is found to be 7.65 hours i.e. 7 hours 39 minutes.

- The number of attendees v/s the number of session is plotted in the third graph.

- OTC CatchUp #62 was found to have most number of attendees with 43 attendess.

- The number of sessions attended and the number of projects showcased by a person can be viewed by applying the respective filters.

Note: The data regarding attendees consists of data from OTC CatchUp #54 to CatchUp #63 only.

Special mentions to [Dheeraj Lalwani](https://github.com/dheerajdlalwani) for providing the data for CatchUp #11 to CatchUp #53 summaries.

Some issues were faced while making the Power BI Dashboard public, therefore a static image of the report is presented. It can be found [here](https://mihikagaonkar.github.io/OTC-Dashboard/)

Same dashboard was recreated in Google Data Studio. It can be found [here](https://mihikagaonkar.github.io/OTC-Dashboard/data_studio)