| # Pandas_Basic | |
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| <h2>What is Pandas?</h2> | |
| <p>Pandas is a Python library used for working with data sets. | |
| It has functions for analyzing, cleaning, exploring, and manipulating data. | |
| The name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis" and was created by Wes McKinney in 2008.</p> | |
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| <h2>Why Use Pandas?</h2> | |
| <p>Pandas allows us to analyze big data and make conclusions based on statistical theories. | |
| Pandas can clean messy data sets, and make them readable and relevant. | |
| Relevant data is very important in data science.</p> | |
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| <h2>What Can Pandas Do?</h2> | |
| <p>Pandas gives you answers about the data. Like: | |
| Is there a correlation between two or more columns? | |
| What is average value? | |
| Max value? | |
| Min value? | |
| Pandas are also able to delete rows that are not relevant, or contains wrong values, like empty or NULL values. This is called cleaning the data.</p> | |