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PROJECT
Uber Data Analysis Using the R Language
In this project, we will analyze Uber data using ggplot2, an R library for statistical analysis.
You will learn to:
Load and explore data frames in R.
Apply different filters on data frames.
Create different plots using the ggplot2 module in R.
Visualize trip data on maps.
Skills
Data Visualisation
Data Manipulation
Data Plotting
Prerequisites
Basic coding skills in R
Basic knowledge about plotting
Basic understanding of statistical tools
Technologies
Rlang
ggplot2
Project Description
R is a programming language and integrated environment focusing on statistical analysis.
In this project, we will analyze Uber data for New York. We’ll explore the basics of filtering, grouping, and data visualization by hour, day, and month.
We will apply different filters and grouping techniques to the dataset. We will visualize the data using the ggplot2 module of R. We will also plot the data on the New York map to enhance the presentation.
Project Tasks
1
Data Preprocessing
Task 0: Getting Started
Task 1: Import the Modules
Task 2: Load the Data
Task 3: Format the Data
2
Monthly Data Analysis
Task 4: Get the Monthly Data
Task 5: Get the Trip Data for Weekdays
Task 6: Add Colors and Title
Task 7: Get the Trips from All the Bases per Month
Task 8: Plot the Trips on Each Day of the Week from the Base
3
Daily Data Analysis
Task 9: Get the Hourly Trips
Task 10: Get the Hourly Trips with Months and Days of the Week
Task 11: Get the Trips on Each Day of the Month
Task 12: Plot the Trips on Each Day with Months
4
Data Plotting
Task 13: Plot the Heatmap
Task 14: Visualize the Rides in New York
Congratulations
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.