Data Analytics Urban Informatics 2019 New York City. NY. US Team Project in Urban Informatics I Fall 2019 at Columbia GSAPP with Jin Hong Kim Advisor: Anthony Vanky © Soyeon Kim. All rights reserved.
Data Analytics
Urban Informatics 2019
New York City. NY. US
Team Project in Urban Informatics I Fall 2019 at Columbia GSAPP with Jin Hong Kim
Advisor: Anthony Vanky
{
“created_at”: “Wed Oct 10 20:19:24 +0000 2018”, “id”: 1050118621198921728, “id_str”: “1050118621198921728”, “text”: “To make room for more expression, we will now count all emojis as equal—including those with gender and skin t… https://t.co/MkGjXf9aXm”, “user”: {}, “entities”: {}, “coordinates”: {40.1239, -73.1222}, “lang”: {en}, “place”: {}, ... }
search radius = 560 ft search radius = 560 ft
260 ft 260 ft
duplicates duplicates duplicates
intersection 1 intersection 2 intersection 3 coordinates (geocode) = intersections
intersection 4 intersection 5
Kim2
total 1794 tweets
Nov 5,
initially pulled out 2912 tweets drop the 876 nulls in coordinates drop the 242 duplicates tweets from nov 30 to dec 8, 2019
total 17 languages (non-english) found on Broadway from Nov 30 to Dec 8, 2019
English en Arabic ar Bengali bn Cyprus cy Czech cs Danish da German de Greek el Spanish es Estonian et Finnish fi Filipino fil
French fr Hebrew he Hindi hi Haitian ht Indian in Italian it Japanese ja Korean ko Malay msa Dutch nl Norwegian no Polish pl
Portuguese pt Romanian ro Russian ru Swedish sv Tagalog tl Thai th Turkish tr Ukrainian uk Vietnamese vi Chinese (Simplified) zh-cn Chinese (Traditional) zh-tw Undefined und
of tweets languages index
hot words in english
hot words in spanish
hot words in french
hot words in japanese
base map = leaflet embedded in HTML visualized by JavaScript
big pop-up = tweet object binded to tweet data points visualized by Javascript
multi-line polygon = broadway using NYC LION map edited by ArcMap layering the street line on the map (GeoJson) visualized by JavaScript
tiny pop-up = contents (text) binded to tweet data points visualized by Javascript
points = tweets using tweet data edited by ArcMap layering points on the map (GeoJson) visualized by JavaScript