Engineering and Technology
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
This course builds upon your proficiency in ggplot2 and aims to enhance your visualization skills for handling larger datasets. The focus of this course is on the scalable visualization technique of faceting, and you will learn various techniques to effectively visualize big data. Specifically, you will be introduced to the Trelliscope approach, which is implemented in the trelliscopejs R package. This approach seamlessly integrates with standard R workflows and enables the creation of interactive visualizations for in-depth data exploration. By the end of this course, you will have the ability to effortlessly generate interactive exploratory displays of extensive datasets, empowering you and your colleagues to gain valuable insights from your data.
by DataCamp
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
by DataCamp
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package...
by DataCamp
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps...
by DataCamp
Visualize seasonality, trends and other patterns in your time series data.
by DataCamp
Learn how to visualize time series in R, then practice with a stock-picking case study.
by DataCamp
Learn survey design using common design structures followed by visualizing and analyzing survey resu...
by DataCamp
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...
by DataCamp
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and mor...
by DataCamp
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
by DataCamp
Explore HR data analysis in Tableau with this case study.