title: ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ð¹ÑÐ° Ð¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ ÑÐ¸Ð¿Ð¾Ð²ÑÑ Ð·Ð°Ð´Ð°Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ 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 site operation and automation of typical analyst tasks using the R language
Creators: name: ÐÐ²Ð°ÑÐ½ÐµÐ²Ð°, ÐÐ¸ÐºÑÐ¾Ñ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: 2021
Subjects: Ð²ÐµÐ±-Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ°
google analytics
ÑÐ·ÑÐº Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ r
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð²
a/b ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
web analytics
r programming language
data analysis
time series forecasting
a / b testing

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description: The topic of the final qualifying work: "Analysis of the site and automation of typical tasks of an analyst using the R language" This work is devoted to the study of the effectiveness of the site, using data obtained using Google Analytics and Yandex.Metrica in order to improve its competitiveness. As a result of the study, the capabilities of web analytics services have been analyzed, which allow: to obtain empirical data about site visitors, generate quantitative reports: audience size, number of visitors for different periods of time, number of views, size of a permanent audience; generate high-quality reports: characteristics and segmentation of the audience, sources, from which sites, search engines users came. As a result, data analysis was carried out using web analytics tools, and the missing functionality for a complete site study was identified. Predicted user behavior for a / b testing. Software algorithms in the R language have been developed to automate typical analyst tasks.