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Intro to Pandas

Pandas is Python library that is utilized to work with a set of data. Pandas has function to analyze, clean, explore and manipulate the data.

<aside> 💡 The name of “Panda” has reference to “Data Panel”, and “Python Data Analysis” that is created by Wes McKinney in 2008.

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Why Use Pandas?

• Pandas enable us to analyze big data and create conclusion based on statistic theory.
• Pandas can clean a set of messy data and create it to be readable and relevant.
• Relevant data is important in data science in data analysis or data science

What can Pandas do?

• Is there any correlation between two or more column?
• What is mean value?
• What is max value?
• What is min value?

<aside> 💡 Panda can also delete line that is irrelevant or consist of false value such as empty or NULL. It is called by cleaning data.

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Implementation

import pandas as pd

mydataset = {
	'cars': ["BMW", "Volvo", "Ford"],
	'passings': [3, 7, 2]
}

myvar = pd.DataFrame(mydataset)

print(myvar)

cars  passings
0    BMW         3
1  Volvo         7
2   Ford         2