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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. Weâ€™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