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Comentários e feedback de alunos de Using Descriptive Statistics to Analyze Data in R da instituição Coursera Project Network

82 classificações
8 avaliações

Sobre o curso

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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1 — 8 de 8 Avaliações para o Using Descriptive Statistics to Analyze Data in R

por Rajkumar R

18 de jul de 2020

Enjoyed practicing

por Jesus M Z F

20 de jul de 2020

Good course

por Simbarashe W

19 de jul de 2020

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

por Rodrigo G Z

28 de ago de 2020

Concise and direct with cool tips on the way


2 de out de 2020

I explore new things there and learn new thing.

por Karlo A L

6 de out de 2020

It was easy enough to follow.

por Surbhi K

7 de out de 2020

this courseis nice

por Deepak K

5 de nov de 2020

Thank You