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EEC E6893 Big Data Analytics Fall 2022 Homework Assignment 3: Data Visualization Due Friday, November 11th, 2022, by 5:00pmAssignment 3 guidelines: Link to Dataset in Part I Task: https://github.com/vega/vega/blob/main/docs/data/seattleweather.csv

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How to fill out exploratory data analysis edaa

01

Collect the data you want to analyze.

02

Clean and prepare the data by handling missing values, outliers, and inconsistencies.

03

Perform univariate analysis by examining the distribution of individual variables.

04

Conduct bivariate analysis to explore the relationships between different pairs of variables.

05

Utilize visualization techniques such as histograms, scatter plots, and box plots to represent the data graphically.

06

Interpret the findings and draw conclusions based on the results of the analysis.

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What is exploratory data analysis edaa?

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 edaa?

Individuals or organizations conducting data analysis projects may be required to file Exploratory Data Analysis (EDA) reports.

How to fill out exploratory data analysis edaa?

You can fill out an Exploratory Data Analysis (EDA) report by analyzing the data sets, summarizing the main characteristics, and using visual methods to present the findings.

What is the purpose of exploratory data analysis edaa?

The purpose of Exploratory Data Analysis (EDA) is to understand the data set, identify patterns or trends, and help in making informed decisions based on the data.

What information must be reported on exploratory data analysis edaa?

The report should include a summary of the main characteristics of the data set, any patterns or trends identified, and visual representations of the data.

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