Github Shubhangijha Uber Data Analysis

Github Shubhangijha Uber Data Analysis This notebook contains a basic analysis through some visualizations of the uber pickups in new york city data set using python. the analysis is broken up into 3 sections:. This project uses python based data analytics and visualization tools to explore these questions and offer strategic recommendations for improving service quality and customer satisfaction.

Github Shubhangijha Uber Data Analysis Contribute to shubhangijha uber data analysis development by creating an account on github. Explore and run machine learning code with kaggle notebooks | using data from uber pickups in new york city. Github is where people build software. more than 100 million people use github to discover, fork, and contribute to over 330 million projects. This project analyzes uber trip data using power bi to identify trends and patterns in ride demand. data cleaning and transformation were performed using power query, and an interactive dashboard was developed to visualize key insights such as peak hours and location based trip distribution.

Github Shubhangijha Uber Data Analysis Github is where people build software. more than 100 million people use github to discover, fork, and contribute to over 330 million projects. This project analyzes uber trip data using power bi to identify trends and patterns in ride demand. data cleaning and transformation were performed using power query, and an interactive dashboard was developed to visualize key insights such as peak hours and location based trip distribution. Feel free to explore the analysis, contribute, or provide feedback to enhance our understanding of uber's data. your insights and suggestions are highly appreciated. Application of this project: we use machine learning algorithms to predict the price of uber, so that it is easy for the company to do analysis on price based on certain features. 📌 project overview this project focuses on analyzing uber ride data to understand booking patterns, revenue trends, cancellation behavior, and customer satisfaction. the analysis is performed using python for data processing and power bi for interactive dashboard visualization. Let us create a function to return back date of the month def getdom(dt): return dt.day data['dom'] = data['date time'].map(getdom) data.tail() data.head().

Github Sayalispotdar Uber Data Analysis Feel free to explore the analysis, contribute, or provide feedback to enhance our understanding of uber's data. your insights and suggestions are highly appreciated. Application of this project: we use machine learning algorithms to predict the price of uber, so that it is easy for the company to do analysis on price based on certain features. 📌 project overview this project focuses on analyzing uber ride data to understand booking patterns, revenue trends, cancellation behavior, and customer satisfaction. the analysis is performed using python for data processing and power bi for interactive dashboard visualization. Let us create a function to return back date of the month def getdom(dt): return dt.day data['dom'] = data['date time'].map(getdom) data.tail() data.head().

Github Ajithtolroy Uber Data Analysis Analyzing Uber Data 📌 project overview this project focuses on analyzing uber ride data to understand booking patterns, revenue trends, cancellation behavior, and customer satisfaction. the analysis is performed using python for data processing and power bi for interactive dashboard visualization. Let us create a function to return back date of the month def getdom(dt): return dt.day data['dom'] = data['date time'].map(getdom) data.tail() data.head().

Github Ajithtolroy Uber Data Analysis Analyzing Uber Data