Farhad Omidvar's repositories
World-Happiness-Visualization
A Python Flask app representing world happiness from 2015-2017 using D3.js - Plotly.js and AnyChart.js to create visualization.
Earthquake-Visualization
Visualizing the last seven days of US earthquake date using USGS GeoJSON and Leaflet to create the map
PyCitySchools
Analysis of School and Student data using the Pandas Library and the Jupyter Notebook.
311-San-Diego
Analysis of San Diego 311 calls using data from City of San Diego, US Census Bureau and Matplotlib, Gmaps to create visualization
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
Belly-Button-Biodiversity
An interactive dashboard to explore the Bacteria Biodiversity dataset, using Plotly.js to create visualizations
D3-Data-Journalism
An interactive scatter plot, to explore the correlation between demographics and health risk factors in U.S. using D3.js. Visit Project at:
Mission_to_Mars
A webpage to display mars information scraped from various sources, using Splinter, BeautifulSoup and MongoDB database
weatherpy-web-visualization
A webpage display analysis of the weather across the world based on proximity to the equator using Matplotlib to create visualization
farhadOmidvar.github.io
Portfolio
free-programming-books
:books: Freely available programming books
Pymaceuticals
Analysis of drug treatment on tumor volume, metastasis and survival.
Python_Challenge
Analysis of Banking Revenue and paragraphs.
SQL
Analysis of the Sakila database using SQL.
SQLAlchemy
Using SQLAlchemy and Flask API for Hawaii climate analysis.
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
The-VBA-of-Wall-Street
VBA scripting to analyze real stock market data.
UFO-Sighting
An interactive webpage to display a table of UFO sightings filtering data through an HTML form using JavaScript and D3.js
WeatherPy
Analysis & graphic visualization of the weather of 500+ cities across the world.