need to do assignment 3;Introduction- An introduction and objective for the analysis.,Data Description – Brief overview and summary of the dataset. Clearly identify the data type, features and their relationships, challenges and issues relevant to the given dataset.Data Processing – Successfully extract, explore and pre-process the given dataset such as, data uploading, data cleaning and feature engineering, (if required).Data Science Method/ Technique:Demonstrate data analytics by applying different data science methods & techniques including, utilizing probability and statistical models such as inferential statistics and clustering, to classify data or/and applying mathematical approaches such as regression analysis, dimensionality reduction and clustering.Data Visualization – Develop XXXXXXXXXXvisualization graphs, charts or any other relevant visual representations that provide significant & insightful information.Python Coding:Report all coding, including data uploading, cleaning, analytics and visualisation, as coded in Python. The python code should be included at the end of your report in a section called Appendix.Conclusion & Recommendation:A summary, findings and recommendation of the analysis discussing the main characteristics of the data and improvement techniques.
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