This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course
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Updated
Nov 15, 2022 - HTML
This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course
The objective of this work is to investigate factors affecting borrower rate and loan amount.
# PISA 2012 Data ## by Nadine Amin ## Dataset > PISA is a survey of students' skills and knowledge as they approach the end of compulsory education. It focuses on examining how well prepared the students are for life beyond school. > Around 510,000 students in 65 economies took part in the PISA 2012 assessment of reading, mathematics and science…
Cleaned FordGoBike data for 2019 was analyzed using different pots (univariate and multivariate) to draw conclusion over the distribution relation between different categorical and numerical variables
This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others. The analysis explore the factors and patterns in the creditworthiness of borrowers and the borrowing trend of Prosper Loan Business.
This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course
Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.
Investigate Ford GoBike Project
Exploratory & Explanatory Analysis of Prosper Loan Data.
performed end-to-end reproducible data analyzes in the IE48A - Essentials of Data Analysis course taught at Boğaziçi University
This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.
An analysis of Prosper Loan dataset
performed end-to-end reproducible data analyzes in the IE48A - Essentials of Data Analysis course taught at Boğaziçi University
Exploratory and Explanatory Visualization on Prosper Loan Data
A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.
Bay Wheels is a public bicycle sharing system in the San Francisco Bay Area, California. I'm most interested in exploring the bike trips' duration and rental events occurrance patterns in terms of time of day, day of the week, along with how these relate to the riders' characteristics, i.e. their user type, gender, age, etc. to get a sense of wh…
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process: Exploratory and Explanatory Data Visualization.
This repo contains notebooks as well as other files where the Ford GoBike System data was analyzed using exploratory and explanatory visualization techniques.
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