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DATA VISUALIZATION IN R CHEATSHEET AHEAD OF 2025

Understanding data science has never been this convenient as it amalgamates with the R programming language. Data science in R is turning tables for deeper data-driven business insights to guide a better business landscape ahead.

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DATA VISUALIZATION IN R CHEATSHEET AHEAD OF 2025

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  1. A © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® R is a powerful tool for data visualization, that offers a wide range of libraries for creating stunning and informative charts. DATA VISUALIZATION TOOLS GLOBAL MARKET REPORT 2024 $13.82 billion CAGR 12.1% Market size (in billions of USD) $8.75 billion $7.77 billion 2023 2024 2025 2026 2027 2028 Source: The Business Research Company The year 2025 opens massive opportunities in the world of data visualization; making data comprehension a cakewalk. © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® BASIC LIBRARIES base R The fundamental library for basic plotting functions plotly For interactive web-based visualizations ggplot2 A versatile library for creating elegant and customizable plots lattice For creating multi-panel plots and complex visualizations © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® COMMON PLOT TYPES Scatter Plot Visualizes the relationship between two continuous variables 7 6 5 4 3 4 5 6 7 3 Library (ggplot2) ggplot (data = iris, aes (x = Sepal . Length, y = Sepal. Width ) ) + geom_point ( ) (source: scaler.com) © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® Line Plot Displays the trend in a variable over time or another continuous dimension 0 1 2 3 4 Library (ggplot2) ggplot (data=mtcars, aes(x=hp, y=mpg, group = 1) )+ geom_point ( ) (source: scaler.com) © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® Bar Plot Compares categorical data or display the distribution of a single categorical value Library (ggplot2) ggplot (data = mtcars, aes (x = factor (cyl) , fill = factor (cyl ) ) ) + geom_bar ( ) (source: scaler.com) © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® Histogram Displays the distribution of a continuous variable by grouping data into bins hist ( mtcars$mpg ) © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. (source: scaler.com) ® Box Plot Aka Box and Whisker plots visualize data distribution and outlier identification 1000 800 600 400 200 0 A B C D Library (ggplot2) ggplot (data=mtcars, aes(x=factor(cyl ), y=mpg) )+ geom_boxplot ( ) (source: scaler.com) © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® ADDED TIPS FOR ENHANCED PERFORMANCE DATA CLEANING AND PREPARATION Ensure your data is clean and in the correct format before visualization. EXPERIMENT WITH DIFFERENT PLOTS Try different plot types to find the best way to visualize your data. CUSTOMIZE YOUR PLOTS Use the various customization options to create visually appealing and informative plots. INTERACTIVE PLOTS For more engaging visualizations, use libraries like Plotly to create interactive plots. © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® MASTER THE ART OF DATA VISUALIZATION IN R WITH TOP CERTIFICATIONS REGISTER NOW © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ®

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