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Exploratory Data Analysis and Sentiment Analysis on Brazilian e-commerce Website Item TypeThesisAuthorsPatel, MihirDownload date20/07/2023 15:27:14Link to Itemhttp://hdl.handle.net/20.500.12648/1652Exploratory

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How to fill out exploratory data analysis and

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Start by collecting the data you want to analyze.

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What is exploratory data analysis?

Exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.

Who is required to file exploratory data analysis?

Data analysts, data scientists, researchers, and anyone working with data may be required to perform exploratory data analysis.

How to fill out exploratory data analysis?

Exploratory data analysis can be filled out by analyzing the data using various statistical and visualization techniques.

What is the purpose of exploratory data analysis?

The purpose of exploratory data analysis is to help understand the data, discover patterns, detect anomalies, and formulate hypotheses for further analysis.

What information must be reported on exploratory data analysis?

The information reported in exploratory data analysis includes summary statistics, visualizations, correlation analysis, and data distributions.

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