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Name: Angela Detweiler
Type: User
Company: CZ Biohub SF
Bio: Genomics Scientist
Location: Mountain View, CA
Name: Angela Detweiler
Type: User
Company: CZ Biohub SF
Bio: Genomics Scientist
Location: Mountain View, CA
In this exercise I used SQLAlchemy, SQLite, and Flask to retrieve data from different datasets, to query, to analyze, and to make the data readily available as browsable api.
ARTIC nanopore protocol for nCoV2019 novel coronavirus
In this project I used Python to merge multiple .csv files containing Citi Bike Trip History logs. After a quick exploration of the data, I imported the merged file into Tableau and analyzed the use of Citi bikes in New York City from April 2017 through May 2018. I created a workbook, which includes visualizations and a short summary of my findings.
In this exercise I utilized Pandas and Jupyter Notebook to analyze district-wide school's standardized test results
In this project I utilized Python libraries (requests, citipy, pandas, numpy, matplotlib.pyplot, datetime), JSON traversals and the OpenWeatherMap API to collect and analyze weather data from over nine hundred randomly selected cities worldwide (each point in the longitude vs. latitude scatterplot above represents a city analyzed). For all weather parameters analyzed (temperature, wind, humidity, and wind speed) temperature was the most strongly correlated to latitude. The webpage created contains source data as well as visualizations showing the correlation (or lack of correlation) between latitude and four different weather parameters.
A Slack/Email bot that helps you find for sale items on Craigslist.
In this project I utilized leaflet.js to create a map to visualize earthquake locations and magnitudes around the world over a period of 24 hours. The data was pulled from the USGS GeoJSON Feed page.
In this exercise I utilized Python to analyze financial and election datasets.
For this exercise I reformatted thousands of records in an Excel spreadsheet, utilized conditional formatting, and pivot tables to analyze a subset of Kickstarter campaigns to evaluate which projects are most likely to succeed.
In this exercise I loaded the database 'sakila' into MySQL and ran queries using joins and subqueries when necessary to answer questions about the dataset. See SQL code below for each problem.
Our goal in this group project is to apply NLP and other features from Yelp reviews into a model that outputs a new 5-star-rating, so that there is less discrepancy between reviews and star ratings. In order to make our model more robust, we will also incorporate new user star-ratings based on reviews read (meaning that someone who did not write the review gives a star-rating based on the review text alone) into our model so that it better reflects the review sentiment. We used multiple ML models, including: Naive Bayes, k-NN, K-Means, LSTM, N-Gram, TD-IDF and Linear Regression
In this project I created an HTML web page that contains a table with UFO sightings information that can be dynamically searched through by entering a specific date/time of interest.
In this exercise I utilized Python libraries - pandas, numpy, matplotlib.pyplot, tweepy, seaborn, datetime, VADER - JSON traversals, and Twitter's API to perform a sentiment analysis on the news mood based on tweets from five different news organizations - BBC, CBS, CNN, Fox News, and New York times.
In this exercise I utilized Python libraries (requests, citipy, pandas, numpy, matplotlib.pyplot, datetime), JSON traversals, and the OpenWeatherMap API to answer a fundamental question: "What's the weather like as we approach the equator?" Weather data were collected for over nine hundred randomly selected cities across the world.
In this study, 250 mice were treated through a variety of drug regimes over the course of 45 days. Their physiological responses were then monitored over the course of that time. I utilized matplotlib, numpy and pandas to analyze the physiological response of mice, under four different treatments (Capomulin, Infubinol, Ketapril, and Placebo).
In this exercise I utilized VBA scripting to analyze stock market data.
In this exercise I used data from the U.S. Census Bureau and the CDC Behavioral Risk Factor Surveillance System Prevalence Data to see if there was a correlation between people that work from home (non-commuters) and the frequency of their physical activity. A scatterplot created using D3.js shows the correlation between these two datasets with each circle representing the population from each state in the United States.
In this project I utilized Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter to scrape information about Mars from several different websites, and utilized MongoDB with Flask templating to create an HTML page with all the information that was scraped.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.