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## Histograms and Density Plots in R

Analysis of Single Continuous Variable In our earlier blog, we learned to analyze a Single Categorical Variable in R. In this blog, we will Analyze a Single Continuous Variable in R.  The below...

## Histograms and Density Plots in Python

Analysis of Single Continuous Variable Histograms are a great way of analyzing a single continuous variable. The histogram is an approximate representation of the distribution of numerical data. It...

## Analysis of a Single Categorical Variable

A single categorical variable is mostly analyzed by Frequency Distribution. A table or a graph displaying the occurrence frequency of various outcomes is called Frequency Distribution. The commonly...

## Importance of Hypothesis Testing in Model Development

Why Hypothesis Testing? In Statistics, we use sampling to derive inference about the population from the sample. A sample can have a sampling error. The sampling error may sometime lead to wrong...

Metadata Data that provide information about other data is called Metadata. In other words, metadata is data about data. Metadata is as important as the data itself because it describes the data....

## Descriptive Statistics – Tabular and Graphical Methods

Preread Descriptive Statistics is performed using tabular, graphical, and numerical methods. We have already covered the Numerical Methods in earlier blogs. Moreover, in our Exploratory Data...
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