I wrangled and analyzed the WeRateDogs (@dog_rates) Twitter data
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Updated
Oct 22, 2022 - Jupyter Notebook
I wrangled and analyzed the WeRateDogs (@dog_rates) Twitter data
Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.
The dataset I wrangled (and analysed and visualized) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.
Data Wrangling and Analysis.
A data wrangling project done ad part of Udacity DAND
Data Wrangling Process / Data Gathering from Web-scrapping, URL, API
Implemented the entire data wrangling process to analyze and visualize data from the WeRateDogs Twitter page.
A data-wrangling project on the WeRateDogs Twitter account.
For this project, the goal was to wrangle WeRateDogs (@dog_rates) Twitter data to create interesting and trustworthy analyses and visualizations.
Wrangling and analyzing we rate dogs twitter account which rates people's dogs with a humorous comment about the dog.
Data Analysis and Exploration on different datasets
Wrangle and Analyze Doggo Data
Wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations.
in this repository, you will find me analyze data to find some question such as which dog is common on a page, what type of dog which people lovely more.
Udacity Data Analyst Project 2: Wrangling, analyzing and visualizing 'WeRateDogs'
Data Wrangling on WeRateDogs (Tweeter account). After the data analysis process, it shows that there are more favorite tweets than counts of a retweet on WeRateDogs. This means people are favoriting a picture of a dog than they are retweeting that tweet.
Wrangling and analyzing we rate dogs twitter account which rates people's dogs with a humorous comment about the dog.
Analysis of WeRateDogs twitter archive
This project includes 5th project of udacity nanodegree program.
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