1st Project for Ironhack Data Analytics Bootcamp
This is a data cleaning and data wrangling project for Ironhack. The purpose of the project is to analyse, clean, sort and display the data in a way that fulfills the purpose of proving wether a specific hypothesis right or wrong. I have worked with a shark attack dataset extracted from Kaggle (the link can be found further down).
White sharks have killed more men than women over the past 5 decades.Step 1: read the dataframe
Step 2: get rid of completely empty columns
Step 3: create a new df that is clean
Step 4: change NaN values for 'unknown' in "Species"
Step 5: remove rows with 'unknown species' in "Species" column
Step 6: clear the "Date" column
Step 7: dissect white shark attacks by date
Step 1: display and plot white shark attacks by month
Step 2: plot attacks by month and sex of victim
Step 3: reflect on hypothesis
Jaime Sanz
The data comes from Kaggle (more specifically it is data that has been collected by the Global Shark Attack File) Kaggle-Global Shark Attack Incidents