Big Data Analytics - The Variables of the Dataset - IT Assignment Help

Assignment Task:

1. Description 
The housing dataset contains the prices and other attributes of almost 35,000 houses in the city of Melbourne. Your task is to perform an Exploratory Data Analysis on the data set. This assignment is part of the continuous assessment.

2. Task 
Your task is to perform EDA and calculate the strength of relationships between the variables of the dataset. Consider below as a guideline: 

1. Your first task is to clean the dataset and prepare it for analysis by e.g. removing/replacing NAs, outliers, and incorrect values.

2. Begin your analysis with a summary of the variables (use basic statistical methods). Briefly describe your understanding Prepare 4 plots: pie chart, bar chart, histogram, scatter plot. Each plot should display different variables. Each plot must have a title and meaningful labels.

3. Focus your analysis on the price variable:
(a) Show the histogram of the price variable. Describe it briefly. 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 different house types. You might want to use the boxplot. 
(d) How different attributes are correlated with the price? Which 3 variables are correlated the most with a price? 

4. List the frequencies of houses for various types. Create 2 scatter plots and colour the house price by land size and type. 

5. In your Markdown document, you should use proper headings and commentary for each task. You can get up to 3o 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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