Uber Fare Time Series Analysis

Description

This repository contains an in-depth analysis of Uber fare data, focusing on time series forecasting and insights generation. The project applies advanced data analysis techniques using R, emphasizing trends, seasonality, and forecasting future fares with precision.

Getting Started

Dependencies

• R: Ensure R is installed on your system.
• R Libraries:
  • ggplot2
  • forecast
  • tseries

Installation

1. Clone this repository or download the project files:

   git clone https://github.com/your-username/Uber_Fare_Time_Series_Analysis.git
   

2. Open the R script (scripts/analysis.R) in RStudio.
3. Install required R packages by executing the following command in R:

   install.packages(c("ggplot2", "forecast", "tseries"))
   

Executing the Program

1. Load the dataset (data/uber.csv) by running the R script.
2. Follow the sequence of steps in the script for data preprocessing, visualization, and analysis.
3. Generated plots and outputs are saved in the outputs/plots/ folder.

Repository Contents

Uber_Fare_Time_Series_Analysis/
├── data/
│   ├── uber.csv            # Dataset used for the analysis
├── scripts/
│   ├── analysis.R          # R script containing all the code for data analysis
├── outputs/
│   ├── plots/              # Directory containing generated plots
├── LICENSE                 # License for the project
├── README.md               # Project documentation

FAQs

What is time series forecasting?

Time series forecasting involves using historical data points to predict future values. It is commonly applied in areas like sales forecasting, stock price prediction, and demand planning.

What are the main steps of the analysis?

• Data preprocessing to clean and prepare the dataset.
• Visualization to identify trends and seasonality.
• Model training and evaluation for accurate forecasting.

Can I contribute to this project?

Contributions are welcome! You can fork the repository, make your improvements, and submit a pull request.

Author

Saroj Raj

• LinkedIn Profile

Version History

• 1.0
  • Initial release with complete analysis and documentation.