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.
e42cce 756b090fe40548eda9148fd5599980bb mv2
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.

Get 100% Hike!

Master Most in Demand Skills Now!

Watch Data Visualization in R programming Tutorial

Video Thumbnail

Ggplot2

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.
ggplots

Become a Trusted Name in Data Science
Launch Your Data Science Career with Us
quiz-icon

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.
PieChart

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.
sentiment analysis in content moderationWe can display the most frequent words used in each category with different colors.
WordCloud

Conclusion

Data visualization is a great way to turn complex data into easy-to-understand visuals like charts and graphs which makes it helpful to see patterns and insights clearly. Learning how to visualize data is an important skill and taking a Data Science course can help you get started. With the right practice, you will be able to represent your data in an easy and helpful way.

No related courses found.

About the Author

Principal Data Scientist, Accenture

Meet Akash, a Principal Data Scientist with expertise in advanced analytics, machine learning, and AI-driven solutions. With a master’s degree from IIT Kanpur, Aakash combines technical knowledge with industry insights to deliver impactful, scalable models for complex business challenges.