farhadomidvar Goto Github PK

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:

earthquake-visualization

Visualizing the last seven days of US earthquake date using USGS GeoJSON and Leaflet to create the map

farhadomidvar.github.io

Portfolio

free-programming-books

:books: Freely available programming books

merge2

mission_to_mars

A webpage to display mars information scraped from various sources, using Splinter, BeautifulSoup and MongoDB database

n-yelp-p

pycityschools

Analysis of School and Student data using the Pandas Library and the Jupyter Notebook.

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.

weatherpy-web-visualization

A webpage display analysis of the weather across the world based on proximity to the equator using Matplotlib to create visualization

world-happiness-visualization

A Python Flask app representing world happiness from 2015-2017 using D3.js - Plotly.js and AnyChart.js to create visualization.