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Table of Contents

How and where is ggplot2) used?

How and where
  • Pollution Analysis: Monitoring air quality
  • Marketing Campaigns: Tracking customer engagement
  • Stock Market Trends: Analyzing stock performance
  • Geospatial Mapping: Visualizing location data
  • Social Media Analytics: Understanding user behavior
  • Healthcare Data Visualization: Illustrating patient statistics
  • Scientific Research: Displaying experimental results
  • E-commerce Sales: Evaluating product performance
  • Weather Forecasting: Predicting meteorological patterns
  • Education Data Analysis: Examining student performance

Compare Junior, Middle, Senior, and Expert/Team Lead ggplot2) Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Code debugging
  • Assist in testing
  • Simple feature development
50,000
Middle2-5 years
  • Module development
  • Code optimization
  • Participate in code reviews
70,000
Senior5-8 years
  • Technical leadership
  • Complex problem-solving
  • Architectural design
90,000
Expert/Team Lead8+ years
  • Project management
  • Mentorship
  • Strategic planning
120,000

Quick Facts about ggplot2).

Facts about
  • ggplot2 was born in 2005, a child of Hadley Wickham’s genius.
  • Data visualization projects adore ggplot2 for its magic.
  • Entry into the ggplot2 realm demands some R coding skills.
  • ggplot2’s best friend is the tidyverse family of tools.
  • Did you know ggplot2 stands for Grammar of Graphics plot 2?

TOP ggplot2) Related Technologies

Related Technologies
  1. R (Wickham, 2009)
  2. Python (Hunter, 2007)
  3. Matlab (MathWorks, 1984)
  4. Julia (Bezanson et al., 2012)
  5. Tableau (Hanrahan et al., 2003)

What are top ggplot2) instruments and tools?

Instruments and tools
  • ggplot2: A grammar of graphics for R, released by Hadley Wickham in 2007
  • Plotly: Open-source graphing library, introduced by Plotly in 2015
  • Shiny: Web application framework, created by RStudio in 2012

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