Engineering and Technology
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Are you wondering where to buy a house to maximize your investment? If so, this course is designed to help you navigate the complex world of spatial analysis in R. Many people find spatial analysis intimidating due to the intricate nature of the data objects involved. In this course, we will start by familiarizing you with spatial data using objects you are already familiar with, such as data frames. We will then introduce you to the specialized objects from the sp and raster packages, which are commonly used to represent spatial data for analysis in R. Throughout the course, you will learn how to read, explore, and manipulate these objects, ultimately enabling you to utilize the tmap package to create visually appealing maps. By the conclusion of this course, you will have gained the skills necessary to create maps showcasing property sales in a small town, population distributions of various countries, the concentration of individuals in the North East of the USA, and median income levels in different neighborhoods of New York City.
by DataCamp
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps...
by DataCamp
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package...
by DataCamp
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
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.