hp-nunes Goto Github PK

air-quality-mapping

Using leaflet.js to map the difference in AQI between major fires in 2017 and 2018

airqualitycomparison_covid19

A tentative analysis of changes in PM2.5 concentrations due to COVID-19 shelter-at-home guidelines in San Francisco

airqualityinthebayarea_acomparisonbetweenoctober2017-2018

A comparison of the San Francisco Bay Area's air quality index between the October 2017's Sonoma Fires and October 2018

airqualityinthebayarea_october2017

How has Air Quality changed over 2017 in the San Francisco Bay Area, and how was it affected by the October Sonoma Fires? Using Python libaries such as matplotlib.pyplot, seaborn, numpy, json and requests; and the AIR NOW API, we charted distributions over time and space of pollutant particulates across the Bay Area's counties.

breathing-between-the-lines

Final Project for ParsonsTKO & TechSoup's Summer 2020 Data Strategy Mentorship Program

caravanstudios_luftdatendataexploration

Exploring Luftdaten's sensor data for air quality (https://luftdaten.info/)

caravanstudios_presentationapril.12.2019

Summary of Citizen Science's internship projects to the Caravan Studios' staff

caravanstudios_sensorassemblytutorial

A project for Caravan Studios' Citizen Science program

caravanstudios_sensorassemblytutorial2

Deployment backup to Sensor Assembly Tutorial

caravanstudios_webscraping4localknowledge

Scraping Wykop, and pulling data from Google Trends and Twitter Analytics to observe the online discourse about air pollution in Poland

charting-global-weather-with-openweathermap-api

An analysis of weather globally, randomly sampling 800 cities and charting climatic patterns at latitudinal lines; made using Python libraries including matplotlib.pyplot, plotly, citipy, request, json, numpy and sklearn; and the OpenWeatherMap API.

cheatsheets

Tired of going back-and-forth between my different notebooks; so I'm centralizing all my iterative issues and solutions into one repo

d3-data-journalism

Learning to create D3 visualizations from thematic data

d3_project

D3 Projects with a focus on crime data from datasf.org

data-science-notes

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

database-querying-with-mysql

Exploring the 'sakila' test database into MySQL WorkBench and running queries using joins and subqueries between datasets.

datastorageretrieval_week11

datastrategymentorship_airqaproj

An analysis of air pollution under the scope of the Data Strategy Mentorship Program by TechSoup & ParsonsTKO

dataviz-docs

📚 Open source documentation written during @droxey's tenure as an instructor at UC Berkeley. No copyrighted in-class materials are provided here.

finalproj_rd

geojson_test

Calling the geojson to MapBox

hp-nunes.github.io

Portfolio/Blog website made with jekyll and hosted on Github Pages.

mapping-assaults-vandalism-and-thefts-in-san-francisco-for-2018

Using data from datasf.org, we mapped the distribution of the three most prevalent reported crimes in the city of San Francisco over the course of 2018. We used a combination of D3.js, Python Flask, and deployment via Heroku to generate a crime map of the city.

markdown-magic

💫  Automatically format markdown files using comment blocks. Update contents via custom transforms, external data sources & your source code.

medium_coderepo

Sample notebooks for Medium posts

mi-book

Jupyter Book source files for MSD summer research internship.

missiontomars

Learning Web Scrapping using BeautifulSoup, Python Selenium, Splinter & MongoDB

plotly-dashboard_pooltallies2019_public

Made with plotly-dash, this dashboard summarizes pool patronage over the course of a year, by temporal trends and aquatic programming activities.

pokemondata

Repository containing generations 1 - 8 of basic Pokémon stats, courtesy of pokemondb.net.

presentation_04122019