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30/11/2023

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.

29/11/2023

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.

28/11/2023

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.

27/11/2023

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.

26/11/2023

Day 26. Dataframes

25/11/2023

Day 25. Pandas

24/11/2023

Day 24. Lambda Functions

23/11/2023

Day 23. Own Functions

22/11/2023

Day 22. Built - in Functions

21/11/2023

Day 21. Absolute Value

20/11/2023

Day. 20 Min/Max Element

19/11/2023

Day 19. For Loop

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