This repository contains my submission for Udacity's project Wrangle and Analyze Data .
Sharing tweets is one of the main keys for growing a twitter account.
Therefore, we use the data at our disposal to get a better understanding on what influence sharing, as time (hours, days), kind of dogs (breeds, stages) and rating, in order to give some insight to the marketing team.
You can see a summary of the data wrangling and cleaning:wrangle_report
You can see a summary of the explaration: act_report
See all code: wrangle_act
- pandas
- NumPy
- requests
- tweepy
- json
- os
- sys
- seaborn
- matplotlib
- sklearn
- datetime
- config
- re