MaySER


Details
In May we will have 2 great presentations:
- Krystian Igras from Appsilon Data Science "Data validation understandable for business with assertr package"
- Patricia Martinkova from Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences "ShinyItemAnalysis for Psychometric Training and to Enforce Routine Analysis of Educational Tests"
Presentations will take around 30 minutes each and we will have pizza break in between.
Later we move to the bar near by.
Event will be in English.
Abstracts:
"Data validation understandable for business with assertr package"
Nowadays, more and more organizations transform their business using data collected over years. Its analysis can help with making appropriate business decisions.
One of the most important stages of such analysis is continuous examination of the data's condition.
It turns out that the data validation process should be carried out at many stages of analysis, so we need flexible tool that allows us to perform validation for each one. We decided to choose assertr from many possible packages which outperforms other tools with provided features. I will discuss most of them in my presentation.
During the analysis, we learn more about data and related problems. Well-run communication concerning state of the data can result with improvement of data collection processes, its condition, and allow us to continue our work with better results. Nevertheless, it is common for analyses to be carried out in a language incomprehensible to business. I will show you how we solved this problem through minor improvements of assertr, and usage of shiny.semantic package to generate clear and elegant, yet understandable for business reports.
BIOs:
Patrícia Martinková is a researcher and vice-head at Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences. She is also a researcher at Faculty of Education of the Charles University, where she is principal investigator of PRIMUS project Center for Educational Measurement and Psychometrics (CEMP). She is Fulbright alumna and 2013-2015 visiting research scholar with the Center for Statistics and the Social Sciences, and an affiliate assistant professor at Department of Statistics, University of Washington. Her current research focuses on developing models and estimators for measuring the quality of educational tests and psychological assessments with focus on admission and selection process.
http://www.cs.cas.cz/martinkova/
Krystian Igras is a Data Scientist at Appsilon Data Science. He is finishing his studies at Warsaw University Match department. In his Master thesis he is contributing to DALEX package - ML black box explainer.
True R and Shiny enthusiast who enjoys sharing his knowledge.

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