World of Challenge: Global warming

July 31, 2020 / 0 comments

Introduction Across the whole nation and the globe, we face common issues of Global warming and sea-level rise. Global warming is a phenomenon in which the average temperature of Earth’s climate system is increasing, which causes climate change. Human activities have been one of the most influencing factors of global warming since the mid-20th century……

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NYC Community Gardens

July 30, 2020 / 0 comments

Introduction For my final project, I chose to focus on NYC’s community gardens. Over the last few weeks, I have been walking throughout my neighborhood and I saw several community gardens and I was interested in discovering more information about them. I wanted to know how many there were throughout the boroughs, which borough and……

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Covid-19: Targeting Vulnerable Communities in NYC

July 30, 2020 / 0 comments

Introduction In the early months of 2020, Covid-19 changed the world in a dramatic way. When the virus reached the United States, nowhere was hit harder than New York City. Peaking at several hundred deaths per day, the city went from business-as-usual, to a state of emergency in a matter of weeks. Now, many months……

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NYC MTA RIDERSHIP

July 26, 2020 / 0 comments

Introduction This project will give a visual overview of the New York City MTA subway system. I will be analyzing its ridership system specifically. My goal will be to analyze the weekly, monthly, and yearly ridership. I will visually break down and explain ridership by Borough and subway stations. I will also make a comparison……

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Filming Locations Across New York City

July 23, 2020 / 0 comments

Introduction For this project I want to create a visualization showing the most filmed locations in New York City.  This data will be from the NYC Open Data project which has data from applications for file shoots and other media type items across the city.  The data comes from the Mayor’s Office of Media and Entertainment The……

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MOMA Analysis

July 23, 2020 / 0 comments

Dataset: My project is the MOMA archive analysis report. I get a JSON file from MOMA GitHub. It has many different variables, ‘title’, ‘Nationality’, ‘Gender’, ‘medium’, etc. Each class has those variables. Interest: I’m curious about which artist has the most amount of works collected by the MOMA library? What material is the most popular…

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Lyrics Sentiment Analysis

July 22, 2020 / 0 comments

For this final project, I conducted a sentiment analysis on the top 40 songs from five of my favorite artists – Drake, Ariana Grande, Mariah Carey, Ne-Yo, and Rihanna. A sentiment analysis is the process of determining wether writing is positive, negative, or neutral. I thought that it would be particularly interesting to see how…

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Hard to Count Populations & US Census

July 22, 2020 / 0 comments

This project uses publicly available Census Bureau data to explore the correlation between response rate and resource allocation as tied to the decennial U.S. Census and American Community Survey (ACS), with an eye specifically on different populations at the state and then national level. Of course, the process of allocating funds is complex, with many…

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Duterte’s Drug War

July 22, 2020 / 0 comments

This project examines data provided by the Columbia University School of Journalism’s Stabile Center for Investigative Journalism. Compelled by the lack of available information on EJKs by the Philippine government, Stabile Center attempted to verify deaths under the anti-drug campaign and released their data and research as a downloadable Microsoft excel files for three cities,…

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Analysing sneakers sales in StockX

July 22, 2020 / 0 comments

GOALS: To understand the popularity, price stability and premium value of the Adidas Yeezy and Nike Jordan Team Size: 1 Time Frame: 2 weeks Tools: Python, Selenium, MongoDB, Flask, Plotly, (Heroku) My Role: Data Engineering, Data Visualization If the answer is YES; you’re interested in reselling or buying; Here’s the interesting findings in StockX where…

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Pop science media & scholarly discourse

July 22, 2020 / 0 comments

This project was done in conjunction with INFO 628 Data Librarianship. It takes the popular science podcast Radiolab and converts the entities mentioned in the podcast to RDF to analyze whether Linked Open Data could be used to connect the general public with scholarly research at the places where they are already accessing it..

Rats and rents in NYC

July 21, 2020 / 0 comments

Introduction Rats are New Yorker’s most familiar neighbors. In this visualization, I showed the activity of New York’s rats activities in the past 10 years with an animated heat map. I also introduce a rent rate map which indicates the human activities and overlapped them to see how the two major animals: human and rat,……

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Mapping 311 Fireworks Complaints in Brooklyn in 2020

July 21, 2020 / 0 comments

INTRODUCTION New York City entered the first two phases of reopening in June 2020 after a 2-month stay-at-home order to stop the spread of COVID-19. Around the same time, the city saw what many residents felt was an unprecedented increase in illegal fireworks. For this mapping lab using Carto, I wanted to explore both the……

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Mapping Ancient Cities

July 21, 2020 / 0 comments

Introduction The history of human settlement is a topic that would naturally lend itself to mapping, save for the fact that the data is extremely limited, as historians and archeologists only have so much to work with. So I was excited to find this dataset of 6,000 years of urbanization from Meredith Reba, Femke Reitsma,……

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Mapping 2016 Marijuana Arrests in DC

July 21, 2020 / 0 comments

Introduction For my first mapping exercise, I took the opportunity to investigate the conclusions of my charts and graphs lab, exploring a segments of the DC Marijuana Arrest Rates 2012-2017. As the tableau dashboard illustrates below (Figure 1), the overall rates of marijuana arrests decreased after marijuana possession was decriminalized in 2014 but then started……

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Asian Restaurants Price Map

July 21, 2020 / 0 comments

Project Description The Project attempts to create maps of three types of restaurants in the New York City based on their price settings. And analyze is based on what reflect on the maps. All the data sources are requested through the Yelp API. The project has two parts: a Python script that makes an API…

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Automated Image Classification and the Metropolitan Museum

July 21, 2020 / 0 comments

A visual, and quantitative analysis of Google Vision, Amazon Rekognition, and Human generated tags for the collection highlights of the Metropolitan Musuem of New York. With artificial intelligences’ increasing influence over the way we search for and interpret content in digital domains it can be difficult to dissect where the qualities of labels and associations…

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Mapping the 2018 Squirrel Census of Central Park

July 21, 2020 / 0 comments

“It Seems I Hit the Squirrel Jackpot!” is a project that explores data from the 2018 Squirrel Census of Central Park. Census takers counted every single squirrel in park and recorded a number of observations that, when put together, provide a comprehensive picture of both Central Park’s squirrels and its people. This project, which was…

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SAAM API Artists

July 21, 2020 / 0 comments

The SAAM API Artists Project extrapolates demographic data from the American Art API in the hopes of illuminating the work of under represented artists. Using the .get request I gathered information from the API (GetSAAMData.py) and transformed it into structured data (SAAMFinal.py). The next step in my project was an attempt to gather ethnicity or…

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Mapping NYC Music

July 21, 2020 / 0 comments

Music has such a storied role in the culture of New York City, particularly live music. Streaming music services started to flourish around 2015 and have since become the primary way people listen to music. We initially created this project to explore what streaming services were trending on a national level compared to what artists…

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