Statistics Learning Journey – Day 1 (Basics of Data)

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Hi everyone 👋

Today, I started my journey into Statistics as the foundation of Data Science.
In this blog, I’ll share all the topics I covered on Day 1, with short notes and examples.

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Topics I learned on Day 1:

1. What is Data?

   Data is simply information collected from the world around us. It can be raw facts, numbers, symbols, or observations that on their own may not have much meaning. But once we organize, analyze, and interpret data, it becomes valuable insights that help in decision-making.

   • Types of data:
     Quantitative (Numerical): Heights, weights, salaries, temperatures.
     Example:- A list of exam scores [85, 92, 78, 90]

     Qualitative (Categorical): Colors, gender, product names, survey responses.
     Example:- A list of eye colors ["Brown", "Blue", "Green"]

2. What is a Data Table?

   A data table is a structured way to organize data into rows and columns. Each row represents an observation (like a person, product, or event), and each column represents a variable (like age, salary, or city).

3. One-Way Table

   A table that have a single Independent or Individual column on which remaining columns are dependent.

4. Frequency Table

   A tabular representation showing how often each value occurs.

5. Bar Graph

   A graphical way to represent data using bars.

6. Line Graph

   A graph that shows trends over time using lines.

7. Pie Chart

   A circular chart divided into slices to represent proportions.

8. O-gives

   Cumulative frequency curves used to understand data distribution.

9. Two-Way Table

   A table that shows the relationship between two variables.

10. Dot Plot

    A chart where each data point is represented by a dot.

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Closing Note

This wraps up Day 1 of my Statistics journey 🚀.
I’ll keep sharing my learnings here and on LinkedIn. Stay tuned for Day 2!