Nadine Amin's Projects
This script was performed for a project by Udacity. The purpose of it was to analyze a/b test results by answering the given questions.
The aim of this project was to use the provided datasets (Chicago, New York and Washington) to create a user interactive platform that provides simple statistics based on the user's input. This project was done to complete the Data Analysis program provided by Udacity.
Config files for my GitHub profile.
The "No-show appointments" was the dataset chosen to work on for this project. It is a collection of 100K medical appointments in Brazil and is focused on whether or not patients show up for their appointments. Each row has a number of characteristics of the patients.
# 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 representing about 28 million 15-year-olds globally. Of those economies, 44 took part in an assessment of creative problem solving and 18 in an assessment of financial literacy. ## Summary of Findings > Before starting this study, I thought the features that would affect the total scores the most were the teachers' influences, the students' immigration status, the class size, and the parents' highest schooling. However, almost none of my assumptions were correct once I started to see the relationships of the variables with the total scores and with other variables. > The number of cellphones, TVs, computers & books, the parents' schooling & jobs, and the homework study time were the variables that affected the total scores. > The higher the number of cellphones, TVs, computers and books, the higher the chances of getting a better total score. This could be because the family's social status was better, and therefore provided better support for the students. > As long as the parents' schooling was level 3A or higher, there is a good chance that the students would get higher grades. Furthermore, parents who had full-time jobs resulted in their children getting higher scores. This could be because having role models to look up to will make you work harder and believe in yourself more. > Finally, students who studied for longer hours had a higher chance of scoring better. ## Key Insights for Presentation > In the presentation, I will show the plots that had an effect on the total score the most. Those include the bivariate plots of the variables mentioned above against the total score. I will also include the multivariate plot of the father and mother's jobs vs. the number of cellphones vs. the total score.
This project's aim was to gather, clean and analyze given data from @dog_rates account on Twitter. This project was done to complete the Data Analysis Professional program by Udacity.