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Data Exploration for Big Data Analytics
Data Exploration in Big Data Analytics
- John Tuckey coined the concept of an exploratory data analysis in the year 1977
- It has a fresh perception of statistics
- It is employed to test hypothesis and not visualized graphically
- The tool prim9 is employed to visualize data in the dimension of nine angle
- Nowadays it is employed in the life cycle of big data analytics as it involves good insight and effective in communication and also has well built EDA capabilities
- Bell Labs developed a programming language named S based on Tuckey’s idea to offer an interactive interface for statistics
- the Language offers extended graphical features
- Nowadays, R programming language based on S programming language is employed in major fashionable software for analytics
The beneath image highlights the usage percentage of Big Data Analytics tools in the market
![Data Exploration data exploration img1](https://www.assignmenthelp.net/webimg/ahp/big-data-assignment-help/data-exploration-img1.jpg)
The underlying code exhibits the exploratory data analysis concept usage
It is existing in the R file /eda/exploratory_data_analysis.R
![Data Exploration data exploration img2](https://www.assignmenthelp.net/webimg/ahp/big-data-assignment-help/data-exploration-img2.jpg)
![Data Exploration data exploration img3](https://www.assignmenthelp.net/webimg/ahp/big-data-assignment-help/data-exploration-img3.jpg)
The above example generates a picture like below
![Data Exploration data exploration img4](https://www.assignmenthelp.net/webimg/ahp/big-data-assignment-help/data-exploration-img4.jpg)
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