Published - Tue, 07 Jun 2022

3 Python Packages for Interactive Data Analysis

3 Python Packages for Interactive Data Analysis

What Is Data Analysis?

Although many groups, organizations, and experts have different ways to approach data analysis, most of them can be distilled into a one-size-fits-all definition. Data analysis is the process of cleaning, changing, and processing raw data, and extracting actionable, relevant information that helps businesses make informed decisions. The procedure helps reduce the risks inherent in decision-making by providing useful insights and statistics, often presented in charts, images, tables, and graphs.

Why is Data Analysis Important?

  • You Get More Accurate Data
  • Better Problem-Solving Methods
  • Reduce Operational Costs
  • Better Customer Targeting
  • 3 Python Packages for Interactive Data Analysis

1. PandasGUI

PandasGUI is a simple Python Package that provides GUI for dataset exploration. The package offers a separate GUI with an excel-like experience we could use to explore the dataset, acquire the statistic, visualize the data, and many more.

2. D-Tale

D-Tale is a Python package for interactive data exploration which uses a Flask back-end and a React front-end to analyze the data easily. 

3. Mito

Let’s try to install the Mito package. Mito is a Python Package that transforms your data frame into an excel-like analysis data frame. 

Any data person does data analysis because it is the required step. Sometimes, we want a more interactive way to analyze the data. To do that, here are 3 Python packages to do interactive data analysis

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3 Python Packages for Interactive Data Analysis
3 Python Packages for Interactive Data Analysis
What Is Data Analysis?Although many groups, organizations, and experts have different ways to approach data analysis, most of them can be distilled into a one-size-fits-all definition. Data analysis is the process of cleaning, changing, and processing raw data, and extracting actionable, relevant information that helps businesses make informed decisions. The procedure helps reduce the risks inherent in decision-making by providing useful insights and statistics, often presented in charts, images, tables, and graphs.Why is Data Analysis Important?You Get More Accurate DataBetter Problem-Solving MethodsReduce Operational CostsBetter Customer Targeting3 Python Packages for Interactive Data Analysis1. PandasGUIPandasGUI is a simple Python Package that provides GUI for dataset exploration. The package offers a separate GUI with an excel-like experience we could use to explore the dataset, acquire the statistic, visualize the data, and many more.2. D-TaleD-Tale is a Python package for interactive data exploration which uses a Flask back-end and a React front-end to analyze the data easily. 3. MitoLet’s try to install the Mito package. Mito is a Python Package that transforms your data frame into an excel-like analysis data frame. Any data person does data analysis because it is the required step. Sometimes, we want a more interactive way to analyze the data. To do that, here are 3 Python packages to do interactive data analysis

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