© Dr. Ossama Embarak 2018
Dr. Ossama EmbarakData Analysis and Visualization Using Pythonhttps://doi.org/10.1007/978-1-4842-4109-7_5

5. Data Gathering and Cleaning

Ossama Embarak1 
Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

In the 21st century, data is vital for decision-making and developing long-term strategic plans. Python provides numerous libraries and built-in features that make it easy to support data analysis and processing. Making business decisions, forecasting weather, studying protein structures in biology, and designing a marketing campaign are all examples that require collecting data and then cleaning, processing, and visualizing it.

There are five main steps for data science processing.
  1. 1.

    Data acquisition is where ...

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