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Coursera Project Network による Using Descriptive Statistics to Analyze Data in R の受講者のレビューおよびフィードバック

4.6
81件の評価
8件のレビュー

コースについて

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....
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Using Descriptive Statistics to Analyze Data in R: 1 - 8 / 8 レビュー

by Rajkumar R

2020年7月18日

Enjoyed practicing

by Jesus M Z F

2020年7月20日

Good course

by Simbarashe W

2020年7月19日

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

by Rodrigo G Z

2020年8月28日

Concise and direct with cool tips on the way

by TUSHAR R

2020年10月2日

I explore new things there and learn new thing.

by Karlo A L

2020年10月6日

It was easy enough to follow.

by Surbhi K

2020年10月7日

this courseis nice

by Deepak K

2020年11月5日

Thank You