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Exploratory Data Analysis

Umesh R. Hodeghatta, Umesha Nayak

Open publisher page 7 citations

Abstract

The process of collecting, organizing, and describing data is commonly called descriptive analytics . Statistics summarize various measures such as mean, median, mode, and other measures computed from samples. Multiple graphs can be plotted to visualize this data. Data exploration helps in identifying hidden patterns in the data and provides meaningful information to make business decisions. In this chapter, we discuss the fundamentals of data analysis, including various graphs to explore data for further analysis.

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What this paper is about

The process of collecting, organizing, and describing data is commonly called descriptive analytics . Statistics summarize various measures such as mean, median, mode, and other measures computed from samples. Multiple graphs can be plotted to visualize this data. Data exploration helps in identifying hidden patterns in the data and provides meaningful information to make business decisions. In this chapter, we discuss the fundamentals of data analysis, including various graphs to explore data for further analysis.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The process of collecting, organizing, and describing data is commonly called descriptive analytics . Statistics summarize various measures such as mean, median, mode, and other measures computed from samples. Multiple graphs can be plotted to visualize this data. Data exploration helps in identifying hidden patterns in the data and provides meaningful information to make business decisions. In this chapter, we discuss the fundamentals of data analysis, including various graphs to explore data for further analysis.

Key concepts: Exploratory data analysis, Computer science, Data analysis, Descriptive statistics, Data science, Exploratory analysis, Data mining, Process (computing)

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