Using Descriptive Statistics to Analyze Data in R
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.
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- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
Using descriptive statistics to analyze data in R
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- Graded Quiz: Test your Project understanding
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- Using descriptive statistics to analyze data in R
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- Using descriptive statistics to analyze data in R - Course Overview
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Unlock the power of R in data analysis with "Using Descriptive Statistics to Analyze Data in R." This beginner-friendly course guides you through creating a comprehensive data quality report, covering key statistical metrics like minimum, maximum, average values, standard deviation, and more. Taught by Coursera, the course spans 180 minutes and is free. Ideal for IT and Computer Science enthusiasts, it equips you with practical skills to enhance your data analysis capabilities. Perfect for learners in North America, with expansion plans in progress.
Dr. Nikunj Maheshwari