Dayna-Lashin's repositories
aemr-case-study
Analysis of energy outages from 2016-2017 using SQL and Tableau.
airbnb-case-study
Analysis of NYC airbnb data using Python and Jupyter Notebook.
citibike-analysis
Analysis of how Citi Bikes move around NYC using SQL, Excel, and PowerPoint.
dog-photo-gallery
This app allows you to select a dog breed and then view one, three, or five random photos of that breed. If you want to be surprised, you can select the Random button. Built using Python 3/Flask, Jinja templating, HTML5, and CSS3. Working app here: https://replit.com/@DaynaLashin/Dog-Photo-Gallery-Final#main.py
drawing-app
This app will draw a shape that you select from a list. It was built using Python 3 with the Turtle and Random modules.
hometown-news
A multi-page, responsive, news website. Built using HTML/CSS, Flexbox, and CSS Grid. Site here: https://dayna-lashin.github.io/hometown-news/
language-translator-app
This translator app will take an English word and translate it to French and Spanish. Built using Python 3 and uses the remi module.
personal-assistant-app
This app helps you keep track of your to-do list, update your contacts, and remember birthdays. Written in Python 3 and uses the remi module.
portfolio-2021
The first draft of my online portfolio for 2021. Built using HTML5, CSS3, Bootstrap, and JavaScript.
southern-water-case-study
Analysis of pump failure at a water plant using Python and Jupyter Notebook.
superstore-analysis
Analysis of Superstore data using Python and Jupyter Notebook.
titanic-data-summary
Combined 2 .csv data sets to analyze Ticket Price and Survival for passengers on the Titanic. Built using Python 3, NumPy, and Matplotlib Libraries.
villain-trading-card-app-jinja
This app will let users collect digital supervillain trading cards. Users will be able to add their own villains, including names, descriptions, photos, interests, and special powers! Built using Python 3/Flask, Jinja templating, and HTML5/CSS3.
villain-trading-card-app-rest-api
This app will let users collect digital supervillain trading cards. Users will be able to add their own villains, including names, descriptions, photos, interests, and special powers! Built using Python 3/Flask, Rest API, and HTML5/CSS3. Working app here: https://replit.com/@DaynaLashin/Supervillain-Trading-Card-App-Refactored-with-REST-API#main.py
wage-happiness-bubble-plot
I used Python 3, including the Pandas and Seaborn Libraries, to look for a relationship between wages and happiness. Data sources were: World Happiness Report (https://worldhappiness.report/ed/2019/) and the Average Annual Wage (https://stats.oecd.org/Index.aspx?DataSetCode=AV_AN_WAGE)