erikayi Goto Github PK

api-challenge

Using Web API and Python, determine its nearby hotels and its weather data for our vacation.

big-data-challenge

Design to build an ETL process for Amazon Review datasets. Two datasets are chosen: Amazon Japan and Amazon Kitchenware. Analyze each dataset and determine if Amazon's vine program is trustworthy or not.

d3-challenge

Using D3.js (one of the popular JavaScript libraries for creating tables in the website), design the table telling us about the differences between the health risks and income status.

erikayi

Config files for my GitHub profile.

erikayi.github.io

Welcome to my Github site. Highlights my data analytic works, my skill set, and insights about me.

excel-hw1

Lists of files for Excel HWs

glowing-python-journey

hello-world

Just another repository.

heroku-demo

javascript-challenge

Design to build a website, using a collection of data resources for UFO Sightings.

leaflet-challenge

Build a visualization for earthquakes in the US, using a javascript library called Leaflet.js.

machine-learning-challenge

Using Jupyter Notebook, Pandas, Matplotlib, and Numpy make a prediction using machine learning models to discover hidden planets outside of our solar system. Create a report on each model and determine whether they are reliable or not.

matplotlib-challenge

Create a real-world dataset using MatPlotLib and Jupyter Notebook to determine which medical testing works the most effective on mice.

miniproject-1.5-etl-cities-health-data

A small data team worked on building the ETL processes on hospital beds and Cities' health data.

my-first-twitter-app

It's my first twitter app created using PHP.

my-mini-quiz-app

Developed a mini programming quiz application using Node.js. Includes Login, Registration, and Logout form.

my-recipe-book

My repository for recipe book. Under construction.

pandas-challenge

Collect and analyze the data for the game called "Heroes of Pymoli". Then, summarize the data and writes the final observable trends based on its data.

plotly-challenge

Engineered a dashboard about how many times people wash their belly button will impact how many germs they will have. Few washes on their belly button will result in a high number of germs they have.

prework_ey

Prework For Data Bootcamp

project_1

Project For Uber vs. Lyft

project_1_uber_vs_weather

python-api-challenge2

Make a weather climate map using python and the API and determine which location has the hottest climate and coldest climate.

python-challenge

Using the basics of Python Programming Language, analyze and calculate the provided data for the bank and the electoral votes.

react-portfolio

My react portfolio highlights my data works.

simply-sushi

A simple sushi menu developed using React.js. Still under construction.

sql-challenge

As a Data Engineer, collect employee data from the 1980s to the 1990s and determine its trend on each employee's salaries, titles, and departments.

sqlalchemy-challenge

Create the weather data analysis for a trip to Honolulu, Hawaii. Design to help our trip plan by analyzing what we need to do based on our discovery.

testing

testplotly