nanaaefua Goto Github PK

-pewlett-hackard-analysis-module_7

SQL was used to create database which determined the number of retiring employees per title, and identify employees who are eligible to participate in a mentorship program. Data modeling, Engineering, analysis, and application was established to forecast and prepare for the upcoming shifts in the company's employees.

amazon_vine_analysis

amazon_vine_analysis-

bikesharing

Created and style worksheets, dashboards, and stories in tableau to visualize Citi Bike data. The data analysis created portrayed how to create a profitable bike-sharing business in Des Moines.

bitcoin-and-machine-learning

Understanding Machine Learning and Bitcoin

club_sql_project

Personal SQL project

credit_risk_analysis

cryptocurrencies

electionanalysis

excel-project

final-project

heroku-netflex-deployment

heroku_deployement_example

kickstarterchallenge

mappiing_earthquakes2

mechacar

Statistical analysis and visualizations was written in R programming, Load, clean up, reshape datasets using Tidyverse. visualize datasets with basic plots such as line, bar, scatter plots using ggplot2, Implemented and evaluated one-sample t-Tests, two-sample t-Tests, and analysis of variance (ANOVA) models for the dataset.

mechacar_statistical_analysis

mission-to-mars

movies_etl_final

my_first_project

my_portfolio

My personal HTML, Linked to Heroku

nanaaefua

Config files for my GitHub profile.

netflix_original

Presented at Final Bootcamp Project

neural_network_charity_analysis

new_temp_project

personal_heart_stroke_project

Common factors that causes Heart and Stroke diseases

personal_project

plotly_deployment

Used Plotly.js, a JavaScript data visualization library, to create an interactive data for the web to identify the 10 top bacterial species in their belly buttons and visualize bacterial data for each volunteer.

project_portfolio

pyber_analysis

Used Jupiter and Pandas to inspect ride sharing data, merged data sets, calculated mean, median, mode using Pandas, NumPy, and SciPy statistics. Python 2- dimensional plotting library matplotlib was used to create line, bar scatter, bubble, pie and box-whisker plots. The visualization portrayed how to make profits on the new ride-sharing app.