DEVELOPING INTIMACY WITH YOUR DATAThis exercise involves you working with a dataset of your choosing. Visit the Kaggle 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.https://www.statsandr.com/blog/descriptive-statistics-in-r/Descriptive statistics : give some details about your datasetTalk about the size of your datasetTalk about the types of columnsTalk about Univariate (the distribution of values )Talk about histogram (frequency of values in each column )Transformation: What could you do/would you need to do to clean or modify the existing data to create new values to work with? What other data could you imagine would be valuable to consolidate the existing data?·        Normalization·        Dealing with missing values/blanks·        Creating new columns·        Eliminating some columns·        Binarization(extra credit )/optional : 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, use your imagination to consider what angles of analysis you might explore if you had the opportunity? What piques your interest about this subject?———————————