NYC-Taxi-Data-Analysis

Overview

This Exploratory Data analysis about the NYC Yellow taxis Data is from the year 2020. The object is to gain insights about the records in the month of January, March and May 2020 (year of Pandemic)

Source : https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page

Key Features

Data preprocessing: Cleaning and preparing the dataset for analysis.
Data visualization: Utilizing pandas, matplotlib, seaborn, TFDV libraries to create insightful visualizations of taxi records.
Insights generation: Analyzing the visualized data to derive insights.

Technologies Used

Python
Pandas
Matplotlib
Seaborn
Tensorflow Data Validation

Techniques

Data Extraction, Data Cleaning, Exploratory Data Analysis, Statistical Analysis, Visualizations

Average Fare Amount Jan vs March 20202 Average Trip Distance Passenger Counts in Jan 2020 Passenger Counts in March 2020 Tip Amount vs Trip Duration in January Trip Duration vs Trip Amount vs Trip Distance Conclusion