title: ÐÐ½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð¾ ÑÐ°Ð±Ð¾ÑÐµ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ñ Ð±Ð°Ð½ÐºÐ¾Ð²ÑÐºÐ¸Ð¼ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÐ¼ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸ÐµÐ¼ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐµÐ´ÑÑÐ² ÑÐ·ÑÐºÐ° R
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Analysis of data on user interaction with a banking mobile application using R language tools
Creators: name: Ð¢Ð°ÑÐ°ÑÐ¸Ð½Ð¾Ð²Ð°, ÐÐ°Ð»ÐµÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ðµ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ
Ð²Ð¸Ð´Ð¶ÐµÑÑ
app architecture
data analysis
classification
mobile app
widgets

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description: The topic of the graduate qualification work: "Analysis of data on user interaction with a banking mobile application using R language tools". This work is devoted to the study of the mobile application of Alfa-Bank and the analysis of data on user experience with this application using the R language tools. Tasks that were solved during the research: 1. Studying the architecture of the Alfa Mobile application. 2. Consideration of the main tasks of machine learning, as well as methodsÂ for their solution. 3. Consideration of the basics of the R language used to analyze data andÂ solve the problems considered. 4. Writing a program for primary data processing and a program that solvesÂ the classification problem. 5. Formulation of restrictions, the application of which allows to increase theÂ accuracy of classification. As a result of the work, the activity of users in the application was analyzedÂ by the k-nearest neighbors method using the R language tools. Based on the analysis, proposals were made to improve the user interface.