Uber databook github. GitHub is where people build software.
Uber databook github Contribute to hannahsutton1/uber. Uber Open Source has 169 repositories available. This Project related to EDA of Uber Data. Key steps include handling missing values, categorizing trips by tim Aug 3, 2018 · Big data by itself, though, isn’t enough to leverage insights; to be used efficiently and effectively, data at Uber scale requires context to make business decisions and derive insights. Taxi data involves geographical components as well as several variables associated with each ride. , commonly known as Uber, is ans American technology company. md at main · Adityasaha25/Uber GitHub is where people build software. This project aims to analyze Uber ride data to understand various aspects of ride usage, such as the distribution of rides across different categories, purposes, months, days, and times. Jan 30, 2025 · About Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python. See full list on atlan. Here's a brief overview of what I did: Explore your activity on Uber with R: How to analyze and visualize your personal data history. 🚗 Uber Data Analysis Project 📊 Project Overview This project focuses on analyzing Uber ride data to extract meaningful insights into user behavior. - Geo-y20 Uber_Data_Analysis Uber Data Analysis project is a comprehensive data analysis and machine learning endeavor aimed at improving the overall quality and efficiency of Uber's services. - Unnati0104/Uber-Data-Analysis The Uber API supports CORS for communicating from Javascript for these endpoints. To provide further insight, we built Databook, Uber’s in-house platform that surfaces and manages metadata about the internal locations and owners of certain datasets, allowing us to turn data into knowledge. A machine learning project which predicts Uber price for different factors. Uber, a pioneering ride-sharing service, generates extensive data on rides and deliveries. Uber taxi Uber Technologies, Inc. GitHub is where people build software. it shows results in sorted order of price so that user can book the cab which is feasible for them. Its services include ride-hailing, food delivery, package delivery, couriers, freight tranportation, and through a partnership with Lime, electric bicycle and motorized scooter rental. Using Python and popular data science libraries (such as pandas, numpy, matplotlib, and seaborn), the project demonstrates a complete analysis workflow — from data cleaning and exploratory data analysis (EDA GitHub is where people build software. SQL → Data modeling, queries, and insights generation. . More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Open Source Software at Uber. Aug 3, 2018 · To provide further insight, we built Databook, Uber’s in-house platform that surfaces and manages metadata about the internal locations and owners of certain datasets, allowing us to turn data into knowledge. This project is designed to develop a predictive model for estimating Uber fare prices accurately. It demonstrates how to design a scalable, cloud Jul 2, 2025 · A simplified database project inspired by platforms like Uber. It contains the main structure for managing drivers, riders, trips, and payments. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Data insight is gain through data pre-processing, feature engineering and data exploratory analysis. 🚗 Uber Clone An advanced ride-hailing application built to replicate the core functionalities of Uber. If we want to build a high-volume system like Uber, we need to keep the following requirements in mind. This Jul 27, 2025 · This project delivers a comprehensive business intelligence analysis of Uber ride-sharing data, transforming 200,000+ raw ride records into actionable insights through advanced data analytics and interactive visualization. Uncover the sequence of attacks, vulnerabilities exploited, and lessons learne Insights from Uber Dataset. By processing and visualizing the data, we answer key business questions that can help Uber improve user experience, plan services, and optimize performance. Uber is a very popular ride-sharing service. The analysis was performed using Python libraries such as Pandas, Seaborn, and Matplotlib for data manipulation and visualization. Uber_Data_Analysis Uber Rides Data Analysis using Python Uber wants to analyze customer behavior concerning ride distances to optimize their operations and improve customer satisfaction. The goal is to understand booking patterns, customer behavior, operational metrics, and factors influencing cancellations and ride quality Aug 20, 2014 · We've officially opened our API to all developers with access to many of the primitives that power Uber’s magical experience. As the largest ride-hailing service globally, Uber generates vast datasets through its daily transactions. The goal is to extract meaningful business insights from the data and present them in a visually informative way. , commonly known as Uber, is an American multinational ride-hailing company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery (Uber Eats), and a micromobility system with electric bikes and scooters. Jul 2, 2025 · Contribute to Sohamch03/Uber-trip-Analysis development by creating an account on GitHub. data development by creating an account on GitHub. Jan 6, 2025 · The Uber Travel Analysis project focuses on exploring and understanding travel patterns, trends, and key metrics using Uber dataset. Uber Developer Documentation Explore our guides and examples to integrate with our various product offerings. 📌 Overview This project performs an exploratory data analysis (EDA) on Uber trip data to uncover key insights about customer behavior, ride patterns, and booking trends. It answers key business questions that can help ride-sharing companies like Uber optimize services and improve customer experience. [1] It is the largest ridesharing company worldwide with over 180 million monthly active Jun 19, 2025 · 🚕 Uber Ride Data Analysis Project This project analyzes Uber ride data to discover meaningful insights about user behavior and ride patterns. [1] It is headquartered in San Francisco, California, and operates in approximately 70 countries and 15,000 cities worldwide. UBER Data Analysis in Python Using Machine Learning Uber Technologies, Inc. Employed both linear least squares regression model and regression trees model, factoring in variables such as time of day, source, destination, surge multipliers, and Uber type. Contribute to Rashmiranjan-Mishra/Ride-Book-Application-Springboot development by creating an account on GitHub. The goal is to understand booking trends, cancellations, payment methods, ratings, and revenue contributions. Find out how you consume the Uber App using a copy of your data Uber-Data-Analysis Introduction The goal of this project is to perform data analytics on Uber data using Python Pandas and Power BI. UI 使用户可以轻松访问到元数据，而 API 则使 Databook 中的元数据能被 Uber 的其他服务和用例使用。 虽说当时已经有了像 LinkedIn 的 WhereHows 这种开源解决方案，但在 Databook 的开发期间，Uber 还没有采用 Play 框架 和 Gradle （译者注：两者为 WhereHows 的依赖）。 Explore Uber ride data with Python to uncover pickup trends, rush hours, and spatial patterns. - Unnati0104/Uber-Data-Analysis Uber Databook ¶ Databook: Turning Big Data into Knowledge with Metadata at Uber Databook: Turning Big Data into Knowledge with Metadata at Uber Jan 3, 2025 · Discover how Uber’s Text-to-SQL technology streamlines data queries and learn how to apply this efficiency to your operations. Led a team of 7 students in analyzing a dataset of 600,000+ Uber & Lyft fares, aimed at creating a Python algorithm to predict Uber ride fares accurately. 🔍 Project Overview This project involves Exploratory Data Analysis (EDA) and data visualization on Uber ride booking data using Python. Github repo for Uber ride book app project . - GitHub Interactive Power BI dashboard analyzing Uber ride data with KPIs, booking status, cancellations, trip performance, payment methods, and location insights. is an American multinational transportation company that provides ride-hailing services, courier services, food delivery, and freight transport. Uber Data Analysis (U. This project focuses on developing an accurate price prediction model for Uber rides, taking into account various influential factors such as location, distance, time, weather, cab types, and more. 🚖 Uber Data Analysis Project This project explores Uber ride booking data to uncover patterns in user behavior based on time, purpose, category, and distance. Uber’s Databook, 3 Aug 2018 Uber’s Databook was announced in a blog post a month or so after Netflix’s Metacat announcement. Sep 24, 2025 · This project analyzes Uber-like rideshare booking data using Excel, SQL, and Power BI. It has two types of users: Drivers and Passengers. This project showcases the full lifecycle of a modern data analytics pipeline — from raw Uber trip data ingestion to business insights visualization. Uber-Data-Analysis Analyzed Uber ride data using Python to explore booking trends, popular ride categories, travel times, and trip distances through EDA and visualizations. The analysis reveals critical patterns in demand, pricing, and geographic distribution that can drive strategic business decisions. Follow their code on GitHub. Learn data loading, pre-processing, visualization, and automation techniques through hands-on analysis This project aims to analyze Uber ride data to understand various aspects of ride usage, such as the distribution of rides across different categories, purposes, months, days, and times. The analysis answers six business-critical questions focusing on ride categories, purposes, booking times, seasonal trends, weekly activity, and trip distances. As of the fourth quarter of 2021, Uber boasted an impressive 118 million monthly active users worldwide, facilitating an average of 19 million trips daily. This project leverages advanced data analytics and machine learning techniques to derive valuable insights, optimize driver-rider interactions. Through This project demonstrates data analysis and visualization skills using Python, SQL, and Power BI. This project is designed with scalability, user-friendly interfaces, and modern technologies Uber Project: EDA in Python and PowerBI Dashboard Uber Technologies, Inc. Uber Data Analysis with Python Uber Technologies, Inc. Uber Open Source Aug 15, 2018 · 原文链接：Databook: Turning Big Data into Knowledge with Metadata at Uber Markdown文件：文件地址 PR 地址：#4351 文章分类：后端 注意：文件位置在 TODO1 文件夹中，不是之前的 TODO 了。 Uber Data Analysis This is part of the project work for data analysis of Uber, where the company has asked for an analysis of the dataset based on their requirements and demands. By leveraging data analysis and visualization techniques, this project aims to extract meaningful insights that can inform business decisions, user behavior understanding, and operational improvements. This project is on data analysis and processing of taxi ride datasets in python. Contribute to darshilparmar/uber-etl-pipeline-data-engineering-project development by creating an account on GitHub. You will need to specify an Origin URI (found in the Settings tab under Security section) when creating your application to allow for CORS to be whitelisted for your domain. - Uber_data_analysis/README. ) 🚖 This project explores Uber trip data through data cleaning, feature extraction, and visualizations. com 6 days ago · Open Source Software at Uber. It shows all the cab available near to your location along with there upfront price and estimated time of arrival. Data cleaning and analysis using 2024 uber data. Power BI → Interactive dashboards and visualization for business insights. Contribute to MrinmaiKadu/UBER-Data-analysis development by creating an account on GitHub. The notebook demonstrates how to build a dimensional model from raw CSV data, creating dimensions like datetime, passenger count, trip distance, rate code, locations, and payment type, and finally prepares an integrated fact table for advanced analysis. Aug 27, 2020 · As of writing, their Github readme contains a section titled ‘Documentation’ with the words ‘TODO’ written underneath. - kenjeekoh/uber-data-and-prediction Uber-Data-Analysis- This project presents an in-depth analysis of Uber ride data to uncover trends, patterns, and insights that drive business decisions and enhance customer experience. Ola and Uber are the prominent ride-hailing services in the world. , a global leader in the transportation network industry, operates in over 72 countries and serves 10,500 cities. It provides actionable insights into Uber rides data, including trends in ride categories, purposes, time patterns, and distances. - Ilyes-ctrl/Uber-Data-Analytics Jul 5, 2024 · Contribute to themihirmathur/Uber-Data-Analytics development by creating an account on GitHub. As part of the requirement, some of the questions were answered through the dataset analysis to generate insightful Uber Data Analysis in Python Using Machine Learning Uber Technologies, Inc. Excel → Data cleaning, preprocessing, and formatting. By leveraging this data effectively, the goal is to inform better business decisions and About Taxis are essential, and taxi-related information can provide ground-breaking insight into different facets of city life, from economic activity and human behavior to mobility trends. Contribute to geoninja/Uber-Data-Analysis development by creating an account on GitHub. Analysis of Uber Data from NYC Open Data website. Taxi helps user to book a cab easily, it compare cabs from two cab provider, uber and OLA in india, fetch all results from there API. The company has observed that the majority of cab bookings are within 0-20 miles, with a significant concentration between 4-5 miles. The goal is to gain actionable insights using Python's data analysis tools. This project performs data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA) on an Uber ride-booking dataset from the NCR region. Feb 15, 2025 · Uber Data Analytics Project In this project, we explored a dataset containing Uber ride information to uncover insights and answer key business questions. Explore the Uber Data Breach - Case Study repository, where an in-depth analysis of the 2022 Uber data breach unfolds. They provide users with a convenient way to book rides through mobile applications, leveraging complex algorithms and data structures to ensure efficiency, reliability, and scalability. S. Feb 18, 2025 · Uber Data Analysis A comprehensive Power BI project that analyzes an Uber dataset, and I'm thrilled to share the insights and visualizations I created. dgf usowwsi ndw rne cjvne fnube reay pvzyi hhtrkp vvjoq cotoi cup xssgohd bxxkgwc hmbture