{"id":27424,"date":"2021-11-29T19:57:58","date_gmt":"2021-11-30T00:57:58","guid":{"rendered":"https:\/\/studentwork.prattsi.org\/infovis\/?p=27424"},"modified":"2021-11-30T19:47:43","modified_gmt":"2021-12-01T00:47:43","slug":"art-galleries-and-museums-in-new-york-city","status":"publish","type":"post","link":"https:\/\/studentwork.prattsi.org\/infovis\/visualization\/art-galleries-and-museums-in-new-york-city\/","title":{"rendered":"Art Galleries and Museums in New York City"},"content":{"rendered":"\n
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Introduction<\/strong><\/h1>\n\n\n\n

As the art capital of the United States, New York City has a collection of some of the most influential and iconic artwork. This project aims to showcase the Art galleries and Museums located in the 5 boroughs of the city with the majority of them being in Manhattan. <\/p>\n\n\n\n

I utilized Carto<\/a> which is a software as a service cloud computing platform that provides GIS, web mapping, and spatial data science tools. I have used the 14 day free trial offered by Carto in order to create this visualization. <\/p>\n\n\n\n

Inspiration<\/strong><\/h1>\n\n\n\n

Like a lot of internet users, Google Maps is my most used tool when it comes to searching places. In fact, a new consumer survey<\/a> from Brandify found that 77% of respondents use Google Maps to find \u201cnear me\u201d business information well ahead of other sites. My first inspiration for this project came from Google maps and how they represent the data.<\/p>\n\n\n\n

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Google Maps<\/figcaption><\/figure>\n\n\n\n

Second inspiration was a visualization by Simon Evans and Rosamund Pierce<\/a> on US electricity sources. This interactive map represents power sources which are color-coded by type and circle size indicating the power output generated by the source. Although I find this visualization very informative, I think the legend would have made more sense without an opacity in its background.\u00a0<\/p>\n\n\n\n

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Visualization showing US electricity sources<\/em><\/figcaption><\/figure>\n\n\n\n

Methodology<\/strong><\/h1>\n\n\n\n

In order to create this visualization, I used the following steps:<\/p>\n\n\n\n

Step 1: Finding the Dataset<\/strong><\/h3>\n\n\n\n

The first dataset that I started working on was a shapefile which can be found here<\/a>. This data set contains information and locations of E Designations, including CEQR (City Environmental Quality Review) Environment Requirements and CEQR Restrictive Declarations. An E Designation provides notice of the presence of an environmental requirement pertaining to potential hazardous materials contamination, high ambient noise levels or air emission concerns on a particular tax lot. I couldn\u2019t go forward with it because I didn’t find any more data related to it. In this initial visualization, I created a heat map.<\/p>\n\n\n\n

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Initial Visualization<\/em>
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Even though I looked through various different websites to gather information, the data for this project was collected from NYC open data<\/a>. I created this visualization using three datasets which included data on New York City museums<\/a>, New York City Art Galleries<\/a> and it\u2019s borough boundaries<\/a>. Data on museums and art galleries was provided by the Department of Information Technology & Telecommunications (DoITT) and data on the boundaries of NYC boroughs was provided by the Department of City Planning (DCP).\u00a0<\/p>\n\n\n\n