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Using Descriptive Statistics to Analyze Data in R(으)로 돌아가기

Coursera Project Network의 Using Descriptive Statistics to Analyze Data in R 학습자 리뷰 및 피드백

4.6
별점
71개의 평가
8개의 리뷰

강좌 소개

By the end of this project, you will create a data quality report file (exported to Excel in CSV format) from a dataset loaded in R, a free, open-source program that you can download. You will learn how to use the following descriptive statistical metrics in order to describe a dataset and how to calculate them in basic R with no additional libraries. - minimum value - maximum value - average value - standard deviation - total number of values - missing values - unique values - data types You will then learn how to record the statistical metrics for each column of a dataset using a custom function created by you in R. The output of the function will be a ready-to-use data quality report. Finally, you will learn how to export this report to an external file. A data quality report can be used to identify outliers, missing values, data types, anomalies, etc. that are present in your dataset. This is the first step to understand your dataset and let you plan what pre-processing steps are required to make your dataset ready for analysis. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
필터링 기준:

Using Descriptive Statistics to Analyze Data in R의 8개 리뷰 중 1~8

교육 기관: Rajkumar R

2020년 7월 18일

Enjoyed practicing

교육 기관: Jesus M Z F

2020년 7월 20일

Good course

교육 기관: Simbarashe W

2020년 7월 19일

It was a bit challenging to follow towards the end, but overall it was a good project.

교육 기관: Rodrigo G Z

2020년 8월 28일

Concise and direct with cool tips on the way

교육 기관: TUSHAR R

2020년 10월 2일

I explore new things there and learn new thing.

교육 기관: Karlo A L

2020년 10월 6일

It was easy enough to follow.

교육 기관: Surbhi K

2020년 10월 7일

this courseis nice

교육 기관: Deepak K

2020년 11월 5일

Thank You