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