title: ÐÐ¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° R Ð¸ Ð¿Ð°ÐºÐµÑa Shiny
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: Data visualization and analysis using the R language and the Shiny package
Creators: name: Ð¡Ð²Ð¸Ð´ÑÐ¾Ð²Ð°, ÐÐ»ÑÐ³Ð°
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: ÑÐ·ÑÐº R
Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ
ÑÑÑÑÐºÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ
Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÑÑÐ°ÑÐ¸ÑÑÐ¸ÐºÐ°
Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
data mining
Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÑÐ´Ñ
Ð¿Ð¾Ð¸ÑÐº Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¹
STL-Ð´ÐµÐºÐ¾Ð¼Ð¿Ð¾Ð·Ð¸ÑÐ¸Ñ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÑÐ´Ð°
ÑÑÐµÐ´Ð° RStudio
language R
databases
structured data
intelligent data analysis
statistics
visualization
clustering
time series
anomaly search
STL-decomposition
time series forecasting
RStudio

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: Ð±Ð°Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐ¾Ð´ÐµÑÐ¶Ð¸Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¾ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸ÑÑ Ð¸ ÑÐ¼ÐµÑÑÑÑ Ð¾Ñ COVID-19 Ð² Ð Ð¾ÑÑÐ¸Ð¸ Ð² ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸. ÐÑÐµÐ´Ð¼ÐµÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ COVID-19 Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. Ð¦ÐµÐ»Ñ Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Â¬Â¬â ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÑÑ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° R, ÑÑÑÑÐºÑÑÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð´Ð°Ð½Ð½ÑÐµ Ð¸ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÑ Ð¸Ñ Ð² ÑÐ´Ð¾Ð±Ð½ÑÑ Ð´Ð»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¾ÑÐ¼Ñ. Ð¡ÑÑÑÐºÑÑÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¸ÑÑÐ¾Ð´Ð½ÑÐ¹ Ð½Ð°Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ, Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð¸ÑÑ Ð¸Ñ Ð² Web-Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ð¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¿Ð°ÐºÐµÑÐ° Shiny Ð¸ ÑÐ·ÑÐºÐ° R. ÐÑÐ¸ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ð¸ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ ÑÑÐ°Ð¿Ñ: â¢ Ð·Ð°Ð³ÑÑÐ·ÐºÐ° Ð´Ð°Ð½Ð½ÑÑ Ð¸Ð· Ð²Ð½ÐµÑÐ½ÐµÐ³Ð¾ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ° (ÑÐ°Ð¹Ð»Ð° ÑÐ¾ÑÐ¼Ð°ÑÐ° .xlsx); â¢ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ; â¢ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ ÑÑÑÑÐºÑÑÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ; â¢ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸ÑÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ; â¢ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð²; â¢ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð±ÑÐ»Ð° ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° ÑÑÐµÐ´Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ RStudio Ð¸ ÑÐ·ÑÐº R, Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð° ÑÐ°Ð±Ð¾ÑÐ° Ñ Ð¿Ð°ÐºÐµÑÐ°Ð¼Ð¸ ggplot2/dygraphs, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ÑÑÐ¾Ð´Ð½Ð¾Ð³Ð¾ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° k-ÑÑÐµÐ´Ð½Ð¸Ñ, Ð¸ÐµÑÐ°ÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ, Ð°Ð½Ð°Ð»Ð¸Ð· Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð², Ð° Ð¸Ð¼ÐµÐ½Ð½Ð¾ ÑÐµÑÑ ÐÐµÑÑÐ¸ÑÑÐ°, Ð¼ÐµÑÐ¾Ð´ Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸, Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÑÐ´Ð°, Ð¿Ð¾Ð¸ÑÐº Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¹, STL Ð´ÐµÐºÐ¾Ð¼Ð¿Ð¾Ð·Ð¸ÑÐ¸Ñ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÑÐ´Ð° Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÑÐµÐ´ÑÑÐ² ÑÐ·ÑÐºÐ° R Ð¸ Ð¿Ð°ÐºÐµÑÐ° Shiny; Ð¸Ð·ÑÑÐµÐ½Ð¾ Ð²Ð»Ð¸ÑÐ½Ð¸Ðµ Ð½Ð° Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°ÐµÐ¼Ð¾ÑÑÐ¸ ÑÐ°ÐºÐ¸Ñ ÑÐ°ÐºÑÐ¾ÑÐ¾Ð², ÐºÐ°Ðº ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð½Ð°ÑÐµÐ»ÐµÐ½Ð¸Ñ Ð¸ Ð³ÐµÐ¾Ð³ÑÐ°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ ÑÐµÐ³Ð¸Ð¾Ð½Ð°, ÑÑÐ¾Ð²ÐµÐ½Ñ Ð·Ð´ÑÐ°Ð²Ð¾Ð¾ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð¸ ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð¾Ñ Ð´Ð½Ñ Ð½ÐµÐ´ÐµÐ»Ð¸.
description: Research object: a database that contains information on diseases and deaths from COVID-19 in Russia in each region. Research subject: behavioral analysis of COVID-19 disease and data visualization. The purpose of the thesis is to consider ways to analyze data using the R language, structure the data and transform it into a form that is convenient for research. Structure and analyze the original dataset, visualize research results and present them in a Web application using the Shiny package and the R language. The influence on the incidence rate of such factors as the number of the population and the geographical location of the region, the level of health care and the quality of medicine, as well as the dependence of the indicators on the day of the week is considered. When performing the work, the following steps were performed: â¢ loading data from an external source (.xlsx file); â¢ analysis of the received data; â¢ data processing and structuring; â¢ visualization of initial data; â¢ time series analysis; â¢ study of the results obtained. As a result of the execution, the RStudio development environment and the R language were considered, work with the ggplot2/dygraphs packages was performed, the initial data set was processed, and clustering based on the k-means algorithm, hierarchical clustering, time series analysis, namely the Pettitt test, the method local regression, time series forecasting, anomaly search, STL time series decomposition and visualization of the results obtained using the R language and the Shiny package.