how pandas can perform in 5 significant steps @c4yourselfyt #shorts

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Published on August 14, 2023 2:00:10 PM ● Video Link: https://www.youtube.com/watch?v=1oV9tXRdmq0

Duration: 0:57

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#pandas #pandaslibrary #python
✳️ About the video
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In this video we will learn about how pandas can perform in 5 Significant Steps.

Pandas, a powerful data analysis library in Python, can transform raw data into insightful results through these five significant steps:

Loading Data: Import data from various formats such as CSV, Excel, or SQL databases using functions like read_csv() or read_excel().
Cleaning Data: Handle missing values, remove duplicates, and filter rows or columns by criteria using methods like dropna(), drop_duplicates(), or boolean indexing.
Transforming Data: Reshape datasets using operations like merging, grouping, or pivoting with methods such as merge(), groupby(), or pivot_table().
Analyzing Data: Explore datasets using aggregation functions like mean(), sum(), or max(), and perform statistical analyses to derive insights.
Visualizing Data: Create plots and charts to represent data trends and patterns using the integrated plotting functionality or external libraries like Matplotlib and Seaborn.
By following these steps, one can methodically examine and interpret data to drive meaningful conclusions.

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✳️ Tags
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#python #pythonprogramming #pythontutorial #pandas #pandaslibrary

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