Descriptive Statistics Practical Example

• This dataset is derived from Database of a Real Estate company in Calfornia
• This Dataset has following variables
  • Apartment
  • Price
  • Status
  • Entity
  • Country
• The company wants to launch a marketing campaign, but it wants to target its audience properly
• The ID of the Product even though it appears as numerical is categorical data
• Age of Customer:
  • Type of Data: Numerical
  • Level of measurement: ratio
• Age Groups:
  • (18,25),(26,35), (36,45),(46,55),(55,65), 65+
  • Categorical Data that is ordered
• Gender:
  • Type of data: Categorical
  • Level of Measurement: Nominal
• State:
  • Type of data: Categorical
  • Level of Measurement: Nominal
• Exercise: Create a Frequency Distribution Based on Gender of Customers:
• Exercise: Lets Analyze sales based on state
• Exercise: Lets Analyze Sales based on Age & Age-Group
• According to the descriptive statistics done so far, we have concluded that the marketing campaign should focus on
  • states: Calfornia, Nevada & Arizona
  • Age groups: 26-65
• Exercise:
  • Find Correlation between Age and Price.
  • Try to depict the scatter plot