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House price estimation data analysis - Exploratory Data Analysis

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Terro_real_estate-Excel-EDA-

"Finding out the most relevant features for pricing of a house”

Terro’s real-estate is an agency that estimates the pricing of houses in a certain locality. The pricing is concluded based on different features / factors of a property. This also helps them in identifying the business value of a property. To do this activity the company employs an “Auditor”, who studies various geographic features of a property like pollution level (NOX), crime rate, education facilities (pupil to teacher ratio), connectivity (distance from highway), etc. This helps in determining the price of a property.

Objective (Task):

Your job, as an auditor, is to analyze the magnitude of each variable to which it can affect the price of a house in a particular locality. To do the analysis, you are expected to solve these questions:

  1. Generate the summary statistics for each variable in the table. (Use Data analysis tool pack). Write down your observation.
  2. Plot a histogram of the Avg_Price variable. What do you infer?
  3. Compute the covariance matrix. Share your observations.
  4. Create a correlation matrix of all the variables (Use Data analysis tool pack). a) Which are the top 3 positively correlated pairs and b) Which are the top 3 negatively correlated pairs.

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House price estimation data analysis - Exploratory Data Analysis

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