The goal of this project was to learn how to gather data from an API wrangle and analyse data. The summary of findings can be fount on the act_report.pdf file
This data was gathered from the WeRateDog page on twitter We have 3 datasets: • Twitter-archive-enhanced: a csv file downloaded manually and wrangled as a dataframe named "df_1". • Image_predictions: a tsv gathered programmatically using the ‘requests’ library from this url : https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv and wrangled as a dataframe named "df_2". • Tweet_json : a txt file gathered from tweets JSON data using the twitter API ‘tweepy’, then read line by line to be wrangled as a dataframe named "df_3".