Summarise Data in R – How to summarize class distribution in R
In R, class distribution refers to the number of observations in each class or category of a categorical variable. Understanding class distribution can help you identify patterns and trends in your data and make informed decisions about your analysis.
To summarize class distribution in R, you can use the table() function. This function takes a categorical variable as an argument and returns a frequency table that shows the number of observations in each class or category of the variable.
For example, if you have a categorical variable called “var1” in your dataset, you can summarize its class distribution by using the command table(var1)
In addition to table() function, you can also use the summary() function to get the class distribution of a categorical variable. The summary() function returns a list of descriptive statistics for a dataset, including the number of observations and the proportion of observations in each class or category.
For example, if you have a categorical variable called “var1” in your dataset, you can summarize its class distribution by using the command summary(var1)
In summary, In R, class distribution refers to the number of observations in each class or category of a categorical variable. Understanding class distribution can help you identify patterns and trends in your data and make informed decisions about your analysis. To summarize class distribution in R, you can use the table() function, which takes a categorical variable as an argument and returns a frequency table that shows the number of observations in each class or category of the variable. Alternatively, you can use the summary() function, which returns a list of descriptive statistics for a dataset including the number of observations and the proportion of observations in each class or category.
In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: How to summarize calss distribution in R.
Summarise Data in R – How to summarize class distribution in R
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding