연구성과

This research project was designed for the purpose of helping the citizens adapt to the new economic and social orders by capturing the economic and social changes caused by COVID-19, while providing an opportunity to utilize these changes as a new growth engine for our economy. Specifically, it aims to explore short-term and long-term changes that have occurred in people's lives due to COVID-19 based on data, and to build and provide a visualization service that enables people to intuitively understand these changes.
Following the online visualization dashboard construction (1st year task), this task focuses on upgrading the existing COVID 19 dashboard and improving the dashboard’s user screen(front-end) and administrator server(back-end).
For the data on the dashboard, it covers a wide range of data, such as data produced by KDI itself, public data such as data from Statistics Korea, and big data from private institutions, and the data is provided in semi-real time by collecting data on a daily basis at a minimum and by performing weekly updates. The collected data is presented separately in eight areas—consumption, labor, finance, economy, life, leisure, transportation, and education—based on prior research. In order to improve the readability of the information, the indicators included in each field are presented as interactive graphs, a data explanation, and a chart usage guide, as well as a view function along with the COVID-19 situation.
Advancement of the dashboard was carried out by dividing into the work two parts: supplementation of previously established dashboard such as adding information by characteristics and adding new data. First, if a comparison is possible according to demographic information such as gender, age, and region, etc. among the data set on the dashboard, the corresponding information was added so that more diverse information could be viewed. In particular, in the case of regional information, a new dashboard was made by applying a visualization method specialized for regional data such as a map bubble chart. In addition, a data change was promoted if it was possible to change to data containing more information than the existing data, and the visualization was improved by applying a method to increase readability, such as displaying the period of data absence. Along with this, we have added new data that can explore major changes caused by COVID-19. The new data were added for the purpose of providing additional information on changes in transportation and leisure activities due to social distancing, including daily average moving distance and radius, number of travelers, and performance consumption by genre. Lastly, the DB(back-end) environment was supplemented in the area of website function. In order to improve user convenience, we improved the loading speed for the interactive graphs and separate code was implemented so that the data can be automatically reflected and saved on the dashboard according to the data update.





As such, in order to expand the user population of the existing dashboard, online content was created and spread, and brand search advertisements were promoted to improve accessibility. In the case of online content, various forms, such as infographics and videos, were produced and spread through uploading and event promotion using KDI's own platform.