Data sets

 
This exercise involves you working with a dataset of your choosing. Visit the (https://www.kaggle.com/datasets) website, browse through the options and find a dataset of interest,  then follow the simple instructions to download it. With acquisition  completed, work through the remaining key steps of examining,  transforming and exploring your data to develop a robust familiarisation  with its potential offering:
Examination:  Thoroughly examine the physical properties (type, size, condition) of  your dataset, noting down useful observations or descriptions where  relevant.
Transformation: 
Q1. What could you do/would  you need to do to clean or modify the existing data to create new  values to work with? 
Q2. What other data could you imagine would be valuable  to consolidate the existing data?
Exploration:  Using a tool of your choice (such as Excel, Tableau, R) to visually  explore the dataset in order to deepen your appreciation of the physical  properties and their discoverable qualities (insights) to help you  cement your understanding of their respective value. If you don’t have  scope or time to use a tool, 
Q3.use your imagination to consider what  angles of analysis you might explore if you had the opportunity? 
Q4. What  piques your interest about this subject?

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