Python for you

Day 30. Data Correlation

In Python, data correlation refers to the statistical relationship between two or more variables. The correlation coefficient is a measure that quantifies this relationship. It indicates whether and how strongly two variables are related.
Take a look at the example below.

Day 29. Data Cleaning

Data cleaning is a crucial step in the data preprocessing pipeline, ensuring that the data is accurate, consistent, and ready for analysis. Remember that data cleaning steps can vary based on the nature of your data and the specific issues you encounter.

Day 28. Combining Conditions & Viewing the Data

Combining conditions and viewing data is a fundamental part of data analysis and manipulation in Python, especially when working with libraries like pandas. Take a look on how it works.

Day 27. Read CSV File

The topic of reading CSV (Comma-Separated Values) files is essential in programming and data analysis, as CSV is a widely used format for storing structured data in a plain text file. The ability to read CSV files is crucial for extracting, analyzing, and manipulating data in various applications.

Day 26. Dataframes

Day 25. Pandas

Day 24. Lambda Functions

Day 23. Own Functions

Day 22. Built - in Functions

Day 21. Absolute Value

Day. 20 Min/Max Element

Day 19. For Loop