Jamie-GiHu's repositories
matplotlib-challenge
The goal is to use Python Matplotlib to tell a story by generating all of the tables and figures needed for the technical report of the study on anti-cancer pharmaceuticals on mice. Also provided is a top-level summary of the study results.
plotly-challenge
The goal is to build an interactive dashboard to explore the Belly Button Biodiversity dataset 🤢 using HTML, CSS, JavaScript, D3 and the Plot.ly libraries.
sql-challenge
The goal is to perform data engineering and data analysis on the database of Hewlett-Packard employees, including designing the tables to hold data in the CSVs, importing the CSVs into a SQL database, and answer questions about the data.
D3-Challenge
The objective is to create an interactive data visualization page with a feature story of the health risks facing particular demographics in the U.S. All charts should dynamically populate based on user selection.
ETL-Project
The project objective is to scrape multiple web sources with product and price information from three major electronic retailers, complete ERD and store it in a database. Purpose of this database is to help consumers decide where to purchase TV’s, once we display it in a customized website.
javascript-challenge
Let's add some user interactivity to our data visualisation! The goal is to create a webpage with a JavaScript app that dymanically filters a dataset based on user inputs to tackle the common problem of serving meaningful data to users when the data collection is too large for manual searching. Coding languages used are JavaScript, HTML, CSS and D3.js.
leaflet-challenge
The goal of the project is to create interactive maps with the location and magnitude of earthquakes during the last 7 days around the world.
pandas-challenge
The data dive continues! In this challenge, the goal is to apply our knowledge about Python Pandas and apply it to analyzing the data for the most recent fantasy game Heroes of Pymoli. The analysis is presented as a report that breaks down the game's purchasing data into meaningful insights.
python-api-challenge
Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively. The objective is to use Python requests, APIs, and JSON traversals to answer a fundamental question: "What's the weather like as we approach the equator?"
python-challenge
The goal is to create 2 Python scripts for analyzing the financial records of your company, and to help a small, rural town modernize its vote counting process. Datasets provided are in csv format.
sqlalchemy-challenge
The goal is to perform a climate analysis to help plan a vacation in Honolulu, Hawaii weather data and station data for Hawaii! Data analysis and data exploration completed using Python, SQL Alchemy, Pandas and Matplotlib. App design using Flask API.
VBA-challenge
The goal is to use VBA scripting to analyze real stock market data.
Victoria_Road_Crashes
This is a group project to analyze trends and relationships around the impact of preventative measures such as speed limit restrictions, road upgrades and road safety cameras on road statistics.
web-design-challenge
Data is more powerful when we share it with others! The objective is to create a dashboard showing off the analysis on weather changes as you get closer to the equator. Using bootstrap, the website is built to be responsive and is deployed on GitHub pages.
web-scraping-challenge
The goal of the project is to scrape the multiple web sources with information and images about Mars and NASA, store it in a database and finally display it in a customized web site.