title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð¾ Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ð¸ Ð¿Ð¸ÑÐµÐ²Ð¾Ð¹ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð¸
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: Research analysis of food consumption data
Creators: name: ÐÐ»ÑÐ¸Ð½Ð°, ÐÐ»Ð¸ÑÐ°
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: Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð¼ÐµÑÐ¾Ð´Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ
Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÑÐ´Ñ
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ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½ÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸
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Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
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Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ
r
rstudio
data
datamining
microsoftsqlserver
fao
theworldbank
Ð¡Ð£ÐÐ
ARIMA
intelligent data analysis
data analysis methods
time series
forecasting
regression models
autoregression models
algorithms
trend
visualization
dbms

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ:Â«ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð¾ Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ð¸ Ð¿Ð¸ÑÐµÐ²Ð¾Ð¹ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð¸Â»ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð° Ð¾Ð±ÑÐµÐ¼Ð¾Ð² Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ² Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð²ÑÑ Ð¿Ð¾Ð·Ð¸ÑÐ¸Ð¹ Ð½Ð° ÑÐµÑÑÐ¸ÑÐ¾ÑÐ¸Ð¸ Ð Ð¾ÑÑÐ¸Ð¹ÑÐºÐ¾Ð¹ Ð¤ÐµÐ´ÐµÑÐ°ÑÐ¸Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð³Ð¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ R.ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: 1.ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ. 2.ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð°ÑÑÐ¸Ð±ÑÑÐ¾Ð² Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¹ Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ð¸. 3.ÐÐ¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ° Ð´Ð°Ð½Ð½ÑÑ Ðº Ð°Ð½Ð°Ð»Ð¸Ð·Ñ. 4.ÐÐ½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð°Ð²ÑÐ¾ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ARIMA. 5. ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð±ÑÐ´ÑÑÐ¸Ñ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ð¹ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð². 6.ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð° Ñ ÑÐµÐ°Ð»ÑÐ½ÑÐ¼Ð¸ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸. Ð Ð°Ð±Ð¾ÑÐ° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð½Ð° Ð±Ð°Ð·Ðµ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ ÐÑÐ¾Ð´Ð¾Ð²Ð¾Ð»ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¸ ÑÐµÐ»ÑÑÐºÐ¾ÑÐ¾Ð·ÑÐ¹ÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸ÐµÐ¹ ÐÐÐ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÑÑÐµÐ³Ð¾ ÑÐ¾Ð±Ð¾Ð¹ ÑÐ°Ð±Ð»Ð¸ÑÑ Ð¿ÑÐ¾Ð´Ð¾Ð²Ð¾Ð»ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð±Ð°Ð»Ð°Ð½ÑÐ°.ÐÐ°Ð±Ð¾Ñ ÑÐ¾Ð´ÐµÑÐ¶Ð¸Ñ 21478 Ð·Ð°Ð¿Ð¸ÑÐµÐ¹ Ñ 63 Ð°ÑÑÐ¸Ð±ÑÑÐ°Ð¼Ð¸.Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ² Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ°ÑÑÐ¾ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð¼ÑÑ Ð¿Ð¾Ð·Ð¸ÑÐ¸Ð¹ ÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ¾Ð³Ð¾ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð±ÑÐ» ÑÐ´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´ Ð¾Ð± ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¾Ð² Ð°Ð²ÑÐ¾ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½ÑÐ¼Ð¸ Ð¼Ð¾Ð´ÐµÐ»ÑÐ¼Ð¸ ÑÐ¸Ð¿Ð° ARIMA.
description: The subject of the graduate qualification work is"Exploratory analysis of food consumption data"This work is devoted to the creation of a data analysis system for the most popular product positions on the territory of the Russian Federation using research data analysis using the R.The research set the following goals: 1. Study of methods of exploratory data analysis. 2. Exploring the attributes of the dataset for further interpretation. 3. Preparing data for analysis. 4. Data analysis using the ARIMA autoregressive model. 5. Forecasting the following values of time series. 6. Conducting a comparative analysis of the constructed forecast with real data. The work was carried out on the basis of a data set by the Food and Agriculture Organization, which is a table of the food balance. The set contains 21478 records with 63 attributes. As a result, forecasts were obtained for the most frequently produced Russian segment. On the basis of the obtained models, a conclusion was made of the effectiveness of methods for constructing forecasts by autoregressive models of the ARIMA type.