raafatsaleh Goto Github PK
Name: Raafat Saleh
Type: User
Company: Bibliotheca Alexandrina
Bio: Data Analyst Udacity Nano-degree Student
Location: Alexandria, Egypt.
Name: Raafat Saleh
Type: User
Company: Bibliotheca Alexandrina
Bio: Data Analyst Udacity Nano-degree Student
Location: Alexandria, Egypt.
For this project, I was working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. My goal was to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.
In this project, I used Python to explore data related to bikeshare systems for three major bikeshare systems in the United States. I performed data wrangling to unify the format of data from the three systems and write code to compute descriptive statistics. I also used "matplotlib" library that a package that is not part of the standard Python library to help me visualize the data.
In this project, I will analyze local and global temperature data and compare the temperature trends where I live to overall global temperature trends.
My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.
This Project is a front-end implementation of a website landing page using HTML and CSS.
In this project, a classic phenomenon from experimental psychology called the Stroop effect is investigated. I learnt a little bit about the experiment, create a hypothesis regarding the outcome of the task. I looked at some data collected from others who have performed the same task and computed some statistics describing the results. Finally, I interpreted the results in terms of the hypotheses.
In this project, I will use R and apply exploratory data analysis techniques in a selected dataset about "White Wine Quality" to discover relationships among multiple variables and the influence each of these on the quality, and create explanatory visualizations illuminating distributions, outliers, and anomalies.
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