https://admiring-meitner-2fc463.netlify.app/tag/mysql/ MySQL Source Themes Academic (https://sourcethemes.com/academic/)en-uscopyright ©2020HectorBaezSat, 10 Jul 2021 00:00:00 +0000 https://admiring-meitner-2fc463.netlify.app/images/logo_hu90e04f6382aa5107cc6239426832a163_85197_300x300_fit_lanczos_2.png https://admiring-meitner-2fc463.netlify.app/tag/mysql/ https://admiring-meitner-2fc463.netlify.app/project/ubicame/ Sat, 10 Jul 2021 00:00:00 +0000 https://admiring-meitner-2fc463.netlify.app/project/ubicame/ <p>Web app deployed using R shiny and a MySQL database to show the main customer data from different departments in Lima Perú. The relational database is composed of more than 100,000 customer addresses.</p> <div class="figure"> <img src="database.JPG" alt="" /> <p class="caption">Control Panel</p> </div> <p>The app allows the suppliers to create clusters and filter data according to polygon data previously uploaded. The app also allows drawing a polygon by hand to filter data. <img src="polygon2.JPG" alt="Control Panel" /></p> <p>The app allows multiple formats of spatial data like: shapefile, json, mapingo files and KML. The administrators can upload new customer data using .txt files or typing data.</p> <div class="figure"> <img src="polygon.JPG" alt="" /> <p class="caption">Control Panel</p> </div> <p>The app allows multiple spatial data formats like shapefile, JSON, MapInfo files and KML. The administrators can upload new customer data using .txt files or typing data.</p>