Descriptive Statistics — What happened in the past !!

Let’s summarize or describe the historical data to understand what has happened in the past.

Descriptive Statistics

Descriptive statistics involves summarising and organising the data so they can be easily understood. We typically describe the data in a sample. Descriptive analytics is often the first step in the data analysis process, providing a foundation for further analysis.

In Quantitative research, after collecting the data the first step of statistical analysis is to describe the characteristics of the responses, such as the average of one variable(e.g, salary), or the relation between two variables (e.g Height and Weight). We analyse the data using different plots and charts on different kinds of data(numerical and categorical) like bar plot, pie chart, scatter plot, Histogram, etc.

Key points of Descriptive Statistics:

1. Do not conclude the data.

2. Do not try to perform predictions based on available data.

3. Do not try to fit the model to the data.