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Data Visualization - The Art of Turning Data into Insights

Data Visualization in R programming

Here we will be using the R programming language to visualize data. It is very important to visualize the result in a graphical format, to analyze the obtained output. Apart from that, we will be deriving statistics to get all the unique values, identifiers, factors, and continuous variables. R provides some built-in functions which are included in the graphics package for data visualization in R.

We can check the overall result through the summary of the datasets.
We can use different packages in R to display the result in a graphical format.

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It is the package available in R to display the result in a graphical format. By using it, we will be able to plot any complex results with respect to the identifiers.

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Pie chart

It is an important function available in R language, to create a pie chart and displaying the percentages of each category from the result. We can manipulate each category to display in different colors so that users can easily distinguish category they want to see.

Word cloud

It is easy to implement a word cloud in R to get the most frequently used word in the data set. For that, we have to use a machine-learning algorithm to distinguish words into different categories.
For example, suppose we are analyzing twitter data and we have to find the mood of the users through machine learning.
Here we can add 4 moods like angry, sad, happy, and neutral.
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We can display the most frequent words used in each category with different colors.

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About the Author

Head of Data Engineering & Science

As a head of Data Engineering and Science at Chargebee, Birendra is leading a team of 50+ engineers, specializing in high-scale data and ML platforms. Previously, held key roles at Razorpay and as CTO, with extensive experience in Big Data, ML, and SAAS architecture. Recognized for 85+ contributions to tech publications and patents.