Perform descriptive statistics on the dataset

How can we perform data analysis using descriptive statistics?
How to Conduct Descriptive Analysis?
1. Step 1: Data Collection.
2. Step 2: Data Preparation.
3. Step 3: Apply Methods
4. Step 4: Summary Statistics and Visualization
How do you conduct descriptive statistics?
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1. Step 1: Describe the size of your sample.
2. Step 2: Describe the center of your data
3. Step 3: Describe the spread of your data
4. Step 4: Assess the shape and spread of your data distribution
5. Compare data from different groups
What can you perform descriptive statistics on?
Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and 2) to highlight potential relationships between variables.
The three most common descriptive statistics can be displayed graphically or pictorially and are measures of: Graphical/Pictorial Methods..
Data collection: A researcher can conduct descriptive research using specific methods like observational method, case study method, and survey method.
Between these three, all primary data collection methods are covered, which provides a lot of information.

This method returns many useful descriptive statistics with a mix of measures of central tendency and measures of variability

Using both the describe() and value_counts() methods are useful since they compliment each other with the information returned

For more information on these methods, please see their official documentation page for kurtosis() and skew()

How can we perform data analysis using descriptive statistics?