Want to hire ggplot2) developer? Then you should know!
How and where is ggplot2) used?
- 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 Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| 50,000 |
Middle | 2-5 years |
| 70,000 |
Senior | 5-8 years |
| 90,000 |
Expert/Team Lead | 8+ years |
| 120,000 |
Quick Facts about ggplot2).
- 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
- R (Wickham, 2009)
- Python (Hunter, 2007)
- Matlab (MathWorks, 1984)
- Julia (Bezanson et al., 2012)
- Tableau (Hanrahan et al., 2003)
What are top ggplot2) 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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