https://mscazmy.github.io/tags/data-viz/Recent content in Data Viz on Ahmed AzeezHugoen-usMon, 15 Jan 2024 00:00:00 +0000https://mscazmy.github.io/2024/01/15/epi-outbreak/Mon, 15 Jan 2024 00:00:00 +0000https://mscazmy.github.io/2024/01/15/epi-outbreak/Introduction Data Exploration Feature Engineering Cleaning Data Clustering data Predicting Outbreak Severity Introduction Early detection and classification of infectious disease outbreaks is one of the most consequential challenges in public health. Syndromic surveillance systems collect weekly data on case counts, fatality rates, vaccination coverage, and environmental conditions — yet translating this information into actionable severity classifications remains difficult. In this project, I apply supervised machine learning to a multi-district epidemiological surveillance dataset to predict outbreak severity level: Mild, Moderate, or Severe.https://mscazmy.github.io/2020/08/20/middle-class/Thu, 20 Aug 2020 00:00:00 +0000https://mscazmy.github.io/2020/08/20/middle-class/The Premise If you were to ask random Americans what income class they fall into, there’s a good chance they’ll say “middle class”, regardless of how much money they make. It stands to reason, then, that a change in their family’s situation, like a lost job or a new higher-paying one, is unlikely to change their perceptions on their social class. This is particularly true because, for many people, the “middle class” is just as much about your education, job, resources, and aspirations as it is about your paycheck.https://mscazmy.github.io/2020/06/20/karen/Sat, 20 Jun 2020 00:00:00 +0000https://mscazmy.github.io/2020/06/20/karen/The Premise “Karen” is having a moment — and that’s not a good thing. You’ve seen her at Red Lobster, stuck in traffic with Kidz Bop, racial profiling a Filipino man chalking “Black Lives Matter” outside his home and Black women at their apartment complex pool, and with her dog off leash endangering a Black man’s life in Central Park. But how did the name Karen become cultural flashpoint “Karen” — an entitled middle-aged White woman who needs to speak to the manager?https://mscazmy.github.io/2020/04/13/monkey/Mon, 13 Apr 2020 00:00:00 +0000https://mscazmy.github.io/2020/04/13/monkey/The Premise Probability can be a hard concept to understand, especially when discussing the probability of highly unlikely events. The original “infinite monkey theorem” posits that given an infinite amount of time, a monkey with a typewriter could eventually type out Shakespeare by randomly mashing keys. We wanted to create a visual explainer of this concept using a slightly different medium, keyboards aimed at playing well-known melodies. And using computers instead of monkeys.https://mscazmy.github.io/2020/02/02/rain/Sun, 02 Feb 2020 00:00:00 +0000https://mscazmy.github.io/2020/02/02/rain/The Premise I moved to Seattle from Orlando, FL in 2016. Since then, the most common question I’m asked is how I deal with all the rain. This question has always perplexed me because it was much more common for me to get caught in thunderous down pours in Orlando than it ever has been in Seattle. I decided to depict this difference in precipitation levels and the ways that we talk about precipitation using data visualization and data from the Global Historical Climatology Network.https://mscazmy.github.io/2019/10/01/shelters/Tue, 01 Oct 2019 00:00:00 +0000https://mscazmy.github.io/2019/10/01/shelters/The Premise As a dog-lover living in Seattle, I have become familiar with how difficult it can be to adopt a dog in the city. Dogs are so popular that shelters and rescues in Seattle often import adoptable dogs from other states and sometimes other countries. After realizing that this information wasn’t commonly known or understood, I decided to find a way to quantify how many dogs are moved before adoption and where they were moved to and from.https://mscazmy.github.io/2019/05/23/names-lyrics/Thu, 23 May 2019 00:00:00 +0000https://mscazmy.github.io/2019/05/23/names-lyrics/The Premise While watching the film Baby Driver, I became curious about a conversation between two of the characters. They had been talking about names, and more specifically which names are used in song lyrics. This project is my wandering through data trying to answer that question. My Contributions Data cleaning & analysis Story writing Front-end development (HTML, CSS, and D3) Collaborators This story was primarily a solo project, but I am appreciative of Colin Morris’ help in attaining many of the song lyrics used in my analysis.https://mscazmy.github.io/2019/04/24/vogue/Wed, 24 Apr 2019 00:00:00 +0000https://mscazmy.github.io/2019/04/24/vogue/The Premise Vogue magazine has been a bastion of fashion for over a century. Over time, they have increased the diversity of the people gracing the cover by including people of different races and ethnicities. But, are they actually representing people of different shades similarly? My Contributions Story Editing Front-end development (HTML, CSS, and D3) Collaborators This story was brought to us by freelancer Malaika Handa. She collected and analyzed all the data and wrote the article.https://mscazmy.github.io/2018/02/01/mars/Thu, 01 Feb 2018 00:00:00 +0000https://mscazmy.github.io/2018/02/01/mars/The Premise I discovered that the Curiosity Rover transmitted weather data (amongst other types of data) back to Earth nearly every day. I decided that in order to have the reader understand what weather conditions are like on Mars, the data needed to be made personal. With Curiosity as my inspiration, I wrote the story from the rover’s perspective in the form of digital “postcards”. After all, the “human tradition” with postcards is to write home while on a long journey and report back on how the “weather is beautiful” and that you wished they were there.https://mscazmy.github.io/2017/12/04/hater/Mon, 04 Dec 2017 00:00:00 +0000https://mscazmy.github.io/2017/12/04/hater/The Premise Using data from the new-age dating app, Hater, we can learn about the types of things that people in the US love, hate, and can never agree on. My Contributions Data Analysis Story Writing Some front-end work (primarily the swarm chart) Static chart design Social image creation Collaborators This project was done in collaboration with Russell Goldenberg at The Pudding. Russell took the design-lead for this piece, and also was responsible for the front-end development of the small multiple graphics and the maps.https://mscazmy.github.io/2017/07/06/cetaceans/Thu, 06 Jul 2017 00:00:00 +0000https://mscazmy.github.io/2017/07/06/cetaceans/The Premise Around the world, people seem to have mixed feelings about whales and dolphins that live in aquariums. While it may be easy (and for some people even preferable) to say that the solution is to release all of the animals back to the ocean, their past makes it more difficult. In this story, we explore the data of where captive whales and dolphins in the US came from, their survival rate, and the projected timing of extinction for these animals in a captive setting.https://mscazmy.github.io/2017/05/24/baby/Wed, 24 May 2017 00:00:00 +0000https://mscazmy.github.io/2017/05/24/baby/The Premise Every time there is some sort of large scale storm (e.g., blizzard or hurricane) or big sports win, I seem to hear everyone chatting about how there will be a baby boom in that area 9 months later. Driven by the curiosity to see if there was any data to back up these claims, I decided to investigate a little further. This project tells the story of my findings while allowing readers to play with the interactive graphic to answer their own questions.https://mscazmy.github.io/2016/12/27/fcccourses/Tue, 27 Dec 2016 00:00:00 +0000https://mscazmy.github.io/2016/12/27/fcccourses/Introduction Data Exploration Feature Engineering Data Visualizations Conclusions My Suggestions: Introduction Free Code Camp (FCC) is an online, self-paced, collection of massive open online courses (MOOCs) aimed at teaching users to code. Campers can log onto the service, complete coding challenges and projects, and earn certificates commemorating their completion. The topics covered include HTML5, CSS3, JavaScript, Databases, Git & Github, Node.js, React.js, and D3.js. In December of 2015, FCC released lots of data regarding the progress and solutions of their users throughout the courses.https://mscazmy.github.io/2016/11/16/dogseattle/Wed, 16 Nov 2016 00:00:00 +0000https://mscazmy.github.io/2016/11/16/dogseattle/Introduction Cleaning Data Data Visualizations Conclusions Introduction This report investigates licensed dog ownership in Seattle, WA (USA). I’m curious about a few things here: People estimate that there are 160,000 dogs in Seattle. Where are they? Seattle is a relatively densely-populated area. Are small, apartment-friendly dogs preferred? Using this information, what recommendations could be made to aspiring dog sitters and walkers in Seattle? I will annotate each step of data analysis as I go.https://mscazmy.github.io/2016/11/10/bicyclesseattle/Thu, 10 Nov 2016 00:00:00 +0000https://mscazmy.github.io/2016/11/10/bicyclesseattle/Introduction Data Visualizations Conclusions Introduction This is an exploration of bicycle-sharing data in the city of Seattle, WA (USA) from October 2014 - August 2016. I hope to eventually combine this data with other forms of ride-sharing and transportation in the city, but this will be the first step. Time to get started! Loading Necessary Packages # For data manipulation and tidying library(dplyr) library(lubridate) library(tidyr) # For mapping library(ggmap) library(mapproj) # For data visualizations library(ggplot2) # For modeling and machine learning library(caret) Importing Data All of the data can be downloaded from the bicycle-sharing service “Pronto!https://mscazmy.github.io/2016/11/09/ghosts/Wed, 09 Nov 2016 00:00:00 +0000https://mscazmy.github.io/2016/11/09/ghosts/Introduction Data Exploration Feature Engineering Cleaning Data Clustering data Predicting Creature Identity Introduction This is my second-ever Kaggle competition (looking for the first?) I’ll do my best to walk through my thought-process here and welcome any comments on my work. Let’s get started! Loading Necessary Packages # For data manipulation and tidying library(dplyr) # For data visualizations library(ggplot2) library(fpc) # For modeling and predictions library(caret) library(glmnet) library(ranger) library(e1071) library(clValid) Importing Data The data were downloaded directly from the Kaggle Website.