An Analysis of Domestic Tourism Consumption Based on R Software
R is a software system which can be used for data processing, calculation and mapping. The syntax of this language is superficially similar to C, but semantically it is functional programming language. It is widely used in statistical analysis. So this paper used it to analyze China domestic tourism...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201822805006 |
_version_ | 1818619055644344320 |
---|---|
author | Ding Hongyu |
author_facet | Ding Hongyu |
author_sort | Ding Hongyu |
collection | DOAJ |
description | R is a software system which can be used for data processing, calculation and mapping. The syntax of this language is superficially similar to C, but semantically it is functional programming language. It is widely used in statistical analysis. So this paper used it to analyze China domestic tourism consumption data during 1999-2015, and analyzed the main factors affecting the consumption level of domestic tourism in China from residents’ disposable income, GDP, per capita consumption of tourists, tourists, the mileage of railways and the number of travel agencies. Finally it established and solved the multiple linear regression models, taking domestic tourism consumption as dependent variable and taking GDP, and per capita consumption of tourists, the number of tourists and the mileage of railways as dependent variables. The results show that there is significant positive correlation between domestic tourism consumption, GDP, per capita consumption of tourists, the number of tourists and the number of travel agencies. |
first_indexed | 2024-12-16T17:31:24Z |
format | Article |
id | doaj.art-88bbab3d627741be8a37e62c2f02b133 |
institution | Directory Open Access Journal |
issn | 2261-236X |
language | English |
last_indexed | 2024-12-16T17:31:24Z |
publishDate | 2018-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | MATEC Web of Conferences |
spelling | doaj.art-88bbab3d627741be8a37e62c2f02b1332022-12-21T22:22:56ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012280500610.1051/matecconf/201822805006matecconf_cas2018_05006An Analysis of Domestic Tourism Consumption Based on R SoftwareDing HongyuR is a software system which can be used for data processing, calculation and mapping. The syntax of this language is superficially similar to C, but semantically it is functional programming language. It is widely used in statistical analysis. So this paper used it to analyze China domestic tourism consumption data during 1999-2015, and analyzed the main factors affecting the consumption level of domestic tourism in China from residents’ disposable income, GDP, per capita consumption of tourists, tourists, the mileage of railways and the number of travel agencies. Finally it established and solved the multiple linear regression models, taking domestic tourism consumption as dependent variable and taking GDP, and per capita consumption of tourists, the number of tourists and the mileage of railways as dependent variables. The results show that there is significant positive correlation between domestic tourism consumption, GDP, per capita consumption of tourists, the number of tourists and the number of travel agencies.https://doi.org/10.1051/matecconf/201822805006 |
spellingShingle | Ding Hongyu An Analysis of Domestic Tourism Consumption Based on R Software MATEC Web of Conferences |
title | An Analysis of Domestic Tourism Consumption Based on R Software |
title_full | An Analysis of Domestic Tourism Consumption Based on R Software |
title_fullStr | An Analysis of Domestic Tourism Consumption Based on R Software |
title_full_unstemmed | An Analysis of Domestic Tourism Consumption Based on R Software |
title_short | An Analysis of Domestic Tourism Consumption Based on R Software |
title_sort | analysis of domestic tourism consumption based on r software |
url | https://doi.org/10.1051/matecconf/201822805006 |
work_keys_str_mv | AT dinghongyu ananalysisofdomestictourismconsumptionbasedonrsoftware AT dinghongyu analysisofdomestictourismconsumptionbasedonrsoftware |