260€
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In today's data-driven world, the ability to transform complex datasets into compelling visual narratives is paramount. The Course on Data Visualization in R with ggplot3 is your gateway to mastering this essential skill. As industries increasingly rely on data insights, proficiency in data visualisation is not just advantageous—it's indispensable. This course offers a deep dive into the powerful ggplot3 package within R, equipping you with the tools to create stunning, insightful visualisations. You'll learn to craft clear, impactful graphics that drive decision-making and storytelling in your field. With a surge in demand for data visualisation experts, your skills will be highly sought after. Position yourself at the forefront of this dynamic sector by joining us and unlock new career opportunities through the art of visual data storytelling.
Universidades colaboradoras
Para qué te prepara
This course equips you with the skills to create compelling and informative data visualisations using R and the ggplot3 package. You'll learn to transform raw data into visual insights, enabling you to identify trends, patterns, and outliers effectively. By the end of the course, you'll be able to customise visual representations to communicate complex data clearly and persuasively, enhancing your ability to support data-driven decision-making in your professional projects.
Objetivos
- To understand the principles of data visualisation using ggplot2 in R effectively. - To create informative graphs and charts with ggplot2 in R. - To apply aesthetic mappings for enhancing data visuals in R. - To explore various data visualisation techniques using ggplot2. - To customise plots and themes for better data interpretation in R. - To integrate statistical transformations in ggplot2 for data analysis. - To efficiently manage and clean data for visualisation in R.
A quién va dirigido
The Course on Data Visualization in R with ggplot3 is designed for professionals and graduates in fields such as data analysis, statistics, and business intelligence. It caters to those interested in enhancing their skills in data visualisation using R, with a focus on practical applications through the ggplot3 package. A basic understanding of R is recommended.
Salidas Profesionales
- Data analyst in corporate environments - Research data visualisation specialist - Business intelligence developer - Marketing data insights consultant - Financial data representation expert - Healthcare data analyst - Education sector data visualisation advisor - Government data transparency officer - Environmental data analyst
Temario
UNIT 1. GGPLOT2 AS A LIBRARY FOR DATA VISUALIZATION IN R
- Introduction to Gplot
- The ggplot2 package
UNIT 2. AXES
- Changing axis titles
- Increasing axes spacing and axes titles
- Changing the aesthetics of Axis titles
- Changing the aesthetics of Axis text
- Rotation axis text
- Deleting axis text and marks
- Deleting axis titles
- Axis range limit
- Forcing the plot to start at the origin
- Axis with the same scale
- Using a function to modify labels
UNIT 3. TITLES
- Adding a title
- Positioning of the titles
- Using a non-traditional font in your title
- Changing spacing in multi-line text
UNIT 4. LEGENDS
- Working with legends
- Removing legends
- Removing legend titles
- Changing the legend position
- Changing the legend direction
- Changing the legend title style
- Changing the legend title
- Changing the order of legend keys
- Changing legend labels
- Changing background boxes in the legend
- Changing the size of legend symbols
- Leaving a layer outside the legend
- Adding legend elements manually
- Using other legend styles
UNIT 5. BACKGROUNDS AND GRID LINES
- Changing the background color of the panel
- Changing grid lines
- Changing the spacing of grid lines
- Changing the plot background color
UNIT 6. MARGINS
- Working with margins
UNIT 7. MULTI-PANEL PLOTS
- Working with multi-panel plots
- Creating small multiples based on a variable
- Allowing axes to roam free
- Using facet_wrap with two variables
- Modifying the style of the strip texts
- Creating a panel of different plots
UNIT 8. COLORS
- Working with colors
- Specifying individual colors
- Assigning colors to variables
- Qualitative Variables
- Manually selecting qualitative colors
- Using integrated qualitative color palettes
- Using qualitative color palettes from extension packs
- Quantitative Variables
- The Viridis color palette
- Using quantitative color palettes from extension packs
- Modifying color palettes after assigning data
UNIT 9. THEMES
- Changing the overall plotting style
- Changing the font of all text elements
- Changing the size of all text elements
- Changing the size of All line and rect elements
- Create your own theme
- Update the current theme
UNIT 10. LINES
- Adding horizontal or vertical lines to a plot
- Adding a line within a plot
- Adding curved lines and arrows to a plot
UNIT 11. TEXT
- Adding labels
- Adding text annotations
- Using Markdown and HTML Rendering for annotations
UNIT 12. COORDINATES
- Flipping a plot
- Fixing an axis
- Reversing an axis
- Transforming an axis
- Creating circular plots
UNIT 13. TYPES OF PLOTS
- Alternatives to a box plot
- Adding a rug to a plot
- Creating a correlation matrix plot
- Creating a contour plot
- Creating a heat map
- Creting a ridgeline plot
UNIT 14. RIBBONS
- Working with ribbons (AUC, CI, etc.)
UNIT 15. SMOOTHING
- Adding a LOESS or GAM smoothing
UNIT 16. INTERACTIVE PLOTS
- Working with interactive plots
Titulación
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