Udacity Data Analyst Nanodegree - Project IV

Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.

Explore the journey of data wrangling and analysis in the WeRateDogs project. Using Python, gather, assess, and clean data from the Twitter archive of @dog_rates. Unveil insights through visualizations and uncover trends like decreasing retweets over time. For details, refer to wrangle_act.ipynb and wrangle_report.pdf.

This repository contains files for a project that had real world data set and it was wrangled and analysed.Real-world data rarely comes clean. Using Python and its libraries, I have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, then clean it. This is called data wrangling.

Gathering data from variety of sources and in variety of formats, assessing its quality and tidiness, then cleaning it. Followed by the wrangling efforts through analyses and visualizations.

Use Python to perform Data Wrangling (Gathering, Assessing, Cleaning) of the WeRateDogs Twitter account and archive, followed by storing, analyzing and visualizing the wrangled data.

Wrangling and analyzing we rate dogs twitter account which rates people's dogs with a humorous comment about the dog.

Analyzing TMDb_movie website to explore the dataset to answer some questions and represent the data in an interactive way.

Wrangling and analyzing we rate dogs twitter account which rates people's dogs with a humorous comment about the dog.

Data wrangling project from Udacity professional data analysis Nanodegree