| Resumen |
This paper aims to implement time series normalization methods in order to compare situations for top countries with more deaths due to COVID-19 over the time. In this work, a dashboard set was created using Power BI for analytical dashboards, is tracked the daily data dynamics of the pandemic which is collected and represented graphically. For all data collecting were developed various web scraping scripts mainly based on bash scripting and python which extract data from specific web sites and once the initial inputs are obtained, the transforming process is started. This includes making aggregations, key performance indicators, correlations and mappings giving the facility to use that transformed data for future works. The data has been collected and treated for study from different sources [1–4]. Additionally, all the results and final data after transformations are being published on a daily basis in the following sites [5–8]. © 2021, Springer Nature Switzerland AG. |
