https://mscazmy.github.io/tags/maps/Recent content in Maps on Ahmed AzeezHugoen-usWed, 21 Mar 2018 00:00:00 +0000https://mscazmy.github.io/2018/03/21/neighborhoods/Wed, 21 Mar 2018 00:00:00 +0000https://mscazmy.github.io/2018/03/21/neighborhoods/The Premise When you love the city where you live, you often have personal connections and memories tied to the different corners of the city’s limits. In this story, we wanted to combine our personal experiences in Seattle and New York City’s neighborhoods, with data about the businesses that operate in those neighborhoods. Do we have different perceptions of areas with an overabundance of massage parlors than we do to an area with a ton of doctors?https://mscazmy.github.io/2017/09/08/clinics/Fri, 08 Sep 2017 00:00:00 +0000https://mscazmy.github.io/2017/09/08/clinics/The Premise For some people in the US, round-trip travel time to the nearest abortion-providing clinic can be about nine hours. We set out to quantify access to abortion clinics by measuring what really affects people: how long it takes to drive there. My Contributions Data Collection Some Data Analysis Some Graphical Mockups Animation Story Writing Collaborators This project was done in collaboration with many of the fine folks at The Pudding.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!