https://github.com/gregyjames/birdy

A simple tool to analyze key data about your twitter following/followers.
https://github.com/gregyjames/birdy

analytics api data data-science data-visualization python tweepy twitter twitter-api

Last synced: about 2 months ago
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A simple tool to analyze key data about your twitter following/followers.

• Host: GitHub
• URL: https://github.com/gregyjames/birdy
• Owner: gregyjames
• License: mit
• Created: 2018-01-20T02:42:24.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T06:33:25.000Z (about 2 years ago)
• Last Synced: 2024-05-01T18:23:50.880Z (8 months ago)
• Topics: analytics, api, data, data-science, data-visualization, python, tweepy, twitter, twitter-api
• Language: Python
• Homepage:
• Size: 235 KB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 31
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![Build Status](https://travis-ci.com/gregyjames/Birdy.svg?token=TAMu6qDfByKbi2gkRs9d&branch=master)](https://travis-ci.com/gregyjames/Birdy)

# Birdy

Birdy is a simple tool to analyze key data about your twitter following/followers.

## Libraries Used

1. [Tweepy](https://github.com/tweepy/tweepy)

2. [TinyDB](https://github.com/msiemens/tinydb)

3. [Progressbar](https://pypi.python.org/pypi/progressbar2)

4. [Plotly](https://plot.ly/python/)

## Setup

In order to use the tools you need to have Twitter Api app registered. If you are confused on how to do so follow the guide [here](https://iag.me/socialmedia/how-to-create-a-twitter-app-in-8-easy-steps/). After you do so, create a file called config.ini and configure it like so with the data from the Twitter API page:

```

[API_KEYS]

consumer_key = consumer_key_no_qoutes

consumer_secret = consumer_secret_no_qoutes

access_token = access_token_no_qoutes

access_token_secret = access_token_secret_no_qoutes

```

## Running

1. pip install -r requirements.txt

2. python main.py

## Pick Graphs

By default all graphs are created in order to choose graphs go to prettyPrint.py, and comment out the function calls to the respective graphs.

- Follow_back();

  - Graph that shows how many of your followers you follow back.

- Default_profile();

  - Graph that shows how many of you Users have default profile images.

- User_Lang();

  - Pie chart of the various languages spoken by your audience.

- Tweet_Line();

  - Line graph of the last tweet time time of all your users. Allows you to zoom into specific time ranges.

## Contributing

At the end of the day every contribution is important regardless of size! Therefore, feel free to contribute to the project in any way that you can.