Pinned Repositories
assignment-2
Materials for the second homework assignment
barefoot
Java library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
cactuslemonade.github.io
cpln692-week1
Introduction to Javascript and the tools of the trade
cpln692-week2
Introduction to Javascript: Programming with Functions
data-viz-template
A template for including data visualizations in a Jekyll-powered blog with Github Pages.
ds-class-intro
hello-world
My first practice project on Github!
jane.github.com
FridayGithubWorkshop
janegao2019.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
janegao2019's Repositories
janegao2019/assignment-2
Materials for the second homework assignment
janegao2019/barefoot
Java library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
janegao2019/cactuslemonade.github.io
janegao2019/cpln692-week1
Introduction to Javascript and the tools of the trade
janegao2019/cpln692-week2
Introduction to Javascript: Programming with Functions
janegao2019/data-viz-template
A template for including data visualizations in a Jekyll-powered blog with Github Pages.
janegao2019/ds-class-intro
janegao2019/hello-world
My first practice project on Github!
janegao2019/jane.github.com
FridayGithubWorkshop
janegao2019/janegao2019.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
janegao2019/masterclass2018
janegao2019/MeyersonIURworkshop
FridayGithubWorkshop
janegao2019/mobility-data-specification
A data standard for Mobility as a Service Providers who work within in the City of Los Angeles
janegao2019/PAASBAAN-crime-prediction
Crime classification, analysis & prediction in Indore city
janegao2019/philadelphia-shootings-app
A Panel-based dashboard showing recent shootings in Philadelphia using Altair, Folium, and Holoviews
janegao2019/phl-open-geodata
Providing geospatial data in alternate formats
janegao2019/rides-python-sdk
Uber Rides Python SDK (beta)
janegao2019/rmarkdowns_to_github
janegao2019/search-script-scrape
101 real world web scraping exercises in Python 3 for data journalists
janegao2019/SF-Crime-Analysis
Spatial and Time Series Analysis of San Francisco Crimes
janegao2019/Spatial-Temporal-Analysis-of-Crime
Crimes occur everywhere around us, affecting the quality of life and growth of the economy of a society. Although crimes occur everywhere, criminals target familiar areas for them whenever they get the opportunity. Thus, given a data mining approach, it is possible to process data such as the crime type, date, area and so on to find a pattern among these crimes. This could help us predict whether the area is safe or unsafe, for a given time, day and area. By this, we hope to raise the awareness among people about their surroundings and help them be aware and undertake safety measures at the dangerous time periods. This could also be useful to the police department of the area so they can send suitable police force and maintain tight security in crime prone areas and times. Our Data Mining assignment aims at performing Tactical Crime analysis on real-world crimes dataset of Los Angeles in California from 2010 to 2015. To extract frequent patterns of crime on the dataset, we used several techniques and algorithms to generate various graphs to help us analyze the data and be able to predict the crime rates in specific locations at a particular time. We have provided statistical analysis of different crime types with their demographic information.
janegao2019/spatialML_package
This repository stores the spatial ml code
janegao2019/tncstoday
Tool for visualizing the estimate of number of TNC (Uber and Lyft) pickups and dropoffs in San Francisco—by location and by time of day.
janegao2019/week-1
Materials for week 1 of MUSA 620 for Spring 2019
janegao2019/week-10
Web Maps, Observable, and Javascript
janegao2019/week-2
Data Visualization Fundamentals
janegao2019/week-3
Geospatial Data Analysis and GeoPandas
janegao2019/week-4
More Interactive Data Viz (hvplot), Getting Started with APIs
janegao2019/week-5
Getting Data Part 1: the Census and Twitter APIs
janegao2019/week-6
Getting Data Part 2: Web Scraping