The importance of data science in sport, the ability to analyze data previously and predict results in the future.

A card company was in problem with the rate of acceptation card (less of 20%) and a very big problem into the rate of late payment (over 50%), they decide to consult to me and make a data science process to improve. After a selection of 100 clients the results were a improve in the rates to 43% acceptation and only 3% in late payment

The idea of this document is to see how some politicians interacted on Twitter from the beginning of the pandemic until September 10. What feelings do your words have? What emotions do your writings show? What is the relationship between each of them? What words do you use the most? What is the lexicon that differentiates them? Who talks about COVID and who avoids it? For download the tweets using the Twitter API and the rtweet library The politician members are from Argentina

En este trabajo analizamos los sentimientos de los principales políticos y partidos argentinos durante la cuarentena, que le transmiten a la gente en las RRSS y que sentimiento hay en sus palabras.

Analizamos como ha sido la evolución de los tweets durante el año 2020, desde su comienzo hasta el 7 de septiembre, para los 5 clubes más grandes de Argentina. Primero analizamos como fueron sus interacciones y que escribieron, y luego analizamos cual es la relacion que hay entre los followers y distinta información cualitativa