Assignment Task :

Description
The housing dataset contains the prices and other attributes of almost
houses in the city of Melbourne. Your task is to perform an Exploratory Data Analysis on the dataset. This assignment is part of the continuous assessment and worth of your module grade.

 

 Task
Your task is to perform EDA and calculate the strength of relationships between the variables of the dataset. Consider below as a guideline: Your frst task is to clean the dataset and prepare it for analysis by e.g. removing/replacing NAs, outliers, and incorrect values.
 Begin your analysis with a summary of the variables (use basic statistical methods). Briefy describe your understanding. Prepare plots:
pie chart, bar chart, histogram, scatter plot. Each plot should display different variables. Each plot must have a title and meaningful labels.  Focus your analysis on the price variable: 
(a) Show the histogram of the price variable. Describe it briefy. Include summary statistics like mean, median, and variance.
(b) Group houses by some price ranges (like low, medium, high, etc.) and summarise those groups separately.
(c) Explore prices for di?erent house types. You might want to use the boxplot.
(d) How different attributes are correlated with the price? Which  variables are correlated the most with price?
(e) List the frequencies of houses for various types. Create scatter plots and colour the house price by landsize and type.   
 In your Markdown document, you should use proper headings and commentary for each task. You can get up to points for clarity and quality of the report and the source code. You must show the final code blocks and the corresponding output in your knitted document.

 

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  • Uploaded By : Grace
  • Posted on : September 22nd, 2018

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