Describe all the essential information related to the background of your proposed Data Analysis. Minimum 200 words
Description of the purpose of the project – Aim of the project.
List the objectives (7 objectives) of the Project. These questions should be relevant, by providing useful information that may help in taking decisions. Do not use data exploration as objectives (eg. Total Number of rows/columns).
Data Acquisition and Cleaning
Code to read the data from Excel / CSV / HTML.
Clean the unnecessary data, by removing, replace the missing data and renaming the columns.
Explanation of why data cleaning needed (for your data).
Data and Exploratory Analysis
Screen Shot of the code and its output with explanation of how your data analysis meets the project objectives and produced the required findings as per the project specification.
This part of analysis must include – Statistics, Filter, Calculations, Group, Sort.
Screen Shot of the code and its output with short explanation about the data, sample rows, columns, total rows, and descriptions. This part is to get familiar with your data and summarize their main characteristics
Data Analysis - Visualization
Screen Shot of the code and its output with explanation of how your findings can be visualized.
This part of the analysis must include – Code and output of the Plot Graph(s) with appropriate colour, title, x-axis and y-axis, with an explanation of the findings. Use different types of appropriate charts to meet your objectives.
Write an executive summary for a minimum of 200 words that summarize your findings and include what are the pro and cons of the data/system. Write your recommendations that could benefit/improve the process/system.
Include all the external references that you might have used. APA / MLA referencing style may be used. If you’re not aware of MLA or not fully confident in using it, refer to the library resources including librarians.
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