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Name: Phillecia Qualls
Type: User
Name: Phillecia Qualls
Type: User
CADO (Cool Avocado Data Observations) is a team project responsible for creating an application to analyze and explore data analysis and price predictions for Hass Avocados in the United States.
Team 6 Research Analysts project examines factors affecting the change in car sales between 2019 and 2020.
The D3-Challenge consists of constructing an interactive scatter plot displaying relationships between factors shaping people's lives, such as rates of income, obesity, poverty, and more.
The ETL Project is a team proposal regarding Texas Real Estate vs. Texas School Districts.
This project consists of code written using JavaScript, HTML, and CSS to create a table dynamically based upon a dataset provided. Users are also allowed to filter the table data for specific values.
This project utilizes Leaflet, JavaScript, and D3 to visualize the earthquake data from the United States Geological Survey (USGS).
This project is composed of statistical analysis of drug regimens that involve mice testing. This project includes a summary of statistics with the mean, median, variance, standard deviation, and sem of the tumor volume for each drug regimen in the project. Visualizations included are bar charts, pie charts, line plots, and scatter plots.
In this challenge, the goal is to apply my knowledge about Python Pandas and apply it to analyze the data for the most recent fantasy game, Heroes of Pymoli. The analysis presents as a report that breaks down the game's purchasing data into meaningful insights.
The purpose of the Plot.ly Challenge is to build an interactive dashboard utilizing a dataset from Belly Button Biodiversity to display its findings.
The project includes visualization of GeoJSON real estate data utilizing Leaflet, JavaScript, Mapbox, and deployed using Flask and Heroku.
This project consists of two activities. The first activity is called WeatherPy, which requires creating a python script to display the weather of 500+ cities across the world. Comparisons between temperature, humidity, cloudiness, wind speed, and latitude are in this project section. The second activity, VacationPy, consists of creating maps utilizing data from the first activity.
The Python-Challenge consists of two projects called "PyBank" and "PyPoll" to conduct an analysis. Each project includes a resources folder with a comma-separated values file (CSV) document used to create a script and an analysis folder that displays each project's results.
This project utilizes Data Engineering and Data Analysis to build a SQL database of employees of a corporation called Pewlett Hackard from the 1980s and 1990s.
This project aims to aggregate the Citi Bike Trip History Logs data to build a data dashboard utilizing Tableau Public.
This project focuses on the analysis of the stock market while utilizing VBA scripting to display the data. This project includes two files, one called alphabetical testing solution, used while developing the script to test the results faster, and the second called multiple year stock data, which was tested last for the final report for the project. The final report will consist of yearly data from 2014 to 2016.
The Web Design challenge consists of gathering, analyzing, and charting data with Python. This project also consists of a website created with HTML/CSS and Bootstrap to display results.
The objective is to create a web application that scrapes various websites for data related to the “Mission to Mars” project and displays the information in a single HTML page in the web-scraping challenge.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.