In this project I will walk through a data visualization using the Uber trips in New York City dataset. The main objective is to create some insightful visualization that provides valuable information about the rides that occurred in NYC. I begin the project by importing the packages that will be used in this report:
library(ggplot2)
library(plotly)
# [maybe] This is the main package for this data visualization project
# I will explore the plotly package as well
library(ggthemes)
# ggthemes provides more nice looking themes for the ggplot2 library.
library(lubridate)
# Date is one of the data types in this project. Lubridate allows to work with timestamps
# in a more granular level.
library(dplyr)
library(tidyr)
# dplyr and tidyr will help with the dataframe manipulation
library(DT)
# Tables are as important as charts when it comes to understand data and reporting results. The
# DT package brings interactive tables to the game.
library(scales)
# This package helps setting up the scales in geographical visualizations