Data_Analysis
UnsplashのMattia Bericchiaが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I did time-series regression with differenced data and found these models are not valid. So, I will do with level d…
UnsplashのJohannes Wが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will do time series regression analysis. Before starting this, let's see which LOCATION has the most obserbations. USA has 41 o…
UnsplashのAditi Bhattが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I make some scatter plots to feel some sense of variables relationships. In this post, I will do corss sectional regress…
UnsplashのSergey Leont'evが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, let's see relationship between two variables. First, let's see correlations. I use cor() function to see correlation. TRY an…
UnsplashのJean Vellaが撮影した写真 www.crosshyou.info This post is following of the above post.I made histograms in the previous post, in this post, I will make another type of graphs, boxplot. Let's start wtih LOCATION and TRY. I see RUS,…
UnsplashのS. Tsuchiyaが撮影した写真 www.crosshyou.info This post is following of the above post. In the above post, I made a data frame to work with. Let's check each variable names and it's explanations. BUPSRY: Below upper secondary, in …
UnsplashのWeiye Tanが撮影した写真 In this post, I will analyze OECD Adult education level data. First, I downloaded CSV file from OECD web site.{Education attainment - Adult education level - OECD Data} It is like above screen-shot. I alos…
UnsplashのAlexander Cifuentesが撮影した写真 www.crosshyou.info This post is following of above post. In this post, I will do cross sectional regression analysis using infer package. Fisrt, I select one year for cross sectional regression. …
UnsplashのBob Brewerが撮影した写真 www.crosshyou.info This post is following of the above post. By previous posts, I made 6 models. These models are time series regression model. So, I would like to check whether there are serial correlati…
Unsplashのguy stevensが撮影した写真 www.crosshyou.info This psot is following of above post.In the previous post, I regress acc_nights, inter_arr and inter_dep on per_capita and trend term for Japan tourism flow data. In this post, I will …
UnsplashのHan Chenxuが撮影した写真 www.crosshyou.info This post is floowing of the above post.In the above post, I find year 2020 and 2021 have COVID-19 effect and each locations has their own characteristics. So I will focus a few locatio…
UnsplashのQuang Nguyen Vinhが撮影した写真 www.crosshyou.info This post is floowing of above post.In this post, I will draw some graphs to see relationship of two variables. Fisrt, I see per capita and location with boxplots. I see SAU, AUS…
Unsplashの2H Mediaが撮影した写真 www.crosshyou.info This post is following of the above post. I make ACC_NIGHTS only data frame with filter() function in R. Next, I make INTER_ARR only data frame. I make INTER_DEP only data frame. Then, I …
UnsplashのErik Knoefが撮影した写真 In this post, I will analyze OECD Tourism flows data analysis. I download CSV file from the OECD website. I also downladed GDP per capita data from OECD web site. I use R for data analysis. First, I load …
UnsplashのAlejandro Contrerasが撮影した写真 www.crosshyou.info This post is following of the above post. Let's check which LOCATION has the most observations. I see GBR has the most observations, 66 observations. USA has the 2nd most, FIN …
UnsplashのMatteo Vellaが撮影した写真 www.crosshyou.info This post is following of the above post.In the above post, I did simple linear regression analysis. This time, I will for multiple linear regression (MLR). I make a new variable, fac…
UnsplashのLaura Smetsersが撮影した写真 www.crosshyou.info This post is following of the above post. I will do regression analysis. Fist, I will do simple linear regression analysis. I use SELFEMPLOYEMENT as a dependent variable and EMPLOYE…
UnsplashのRenato Pozziが撮影した写真 www.crosshyou.info This post is following of the above post. I make small data frame that contains only 2010 and 2014 observations. First, I use filter() function to get only 2010 and 2014 data, then I …
UnsplashのMaria Tejadaが撮影した写真 www.crosshyou.info This post is following of the above post.I will calculate confidence interval. First, I make bootstrapping confidence interval. I use R infer package. I use specify(), generte() and c…
UnsplashのJames Wainscoatが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post I see mean of EMPLOYEE is 17.9 and mean of SELFEMPLOYED is 30.6. Let's see whether the difference is statistically si…
UnsplashのKumiko SHIMIZUが撮影した写真 Hello. In this post, I will analyze Gender wage gap of OECD data with R. First, I download CSV file like belo from OECD web site, https://data.oecd.org/earnwage/gender-wage-gap.htm I use R to analyze …
UnsplashのCraig Mannersが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will do hypothesis test for one proportion. For Japan nuclear power plants proportion. In the previous post, I found Japan n…
UnsplashのMaarten van den Heuvelが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will get confidence interval for one proportion. In this case, number of nuclear power plants in Japan / number of …
UnsplashのYan Agritが撮影した写真 www.crosshyou.info This post is following of the above post. In this post I do hypothesis testing using R with infer package. I refere to B Inference Examples | Statistical Inference via Data Science (mode…
UnsplashのEean Chenが撮影した写真 www.crosshyou.info This post is following of the above post.I will calculate confidence interval in this post. There are two ways to calclulate confidence interval, one is bootstrap method and the other is…
UnsplashのLukáš Lehotskýが撮影した写真 In this post, I will playaround with OECD Nuclear power plants data with R. OECD Nuclear power plants data is defined as the number of nuclear units in operation as of 1 January 2019. It is measured a…
UnsplashのSonika Agarwalが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will do bootstrapping with R infer package. Suppoese df2$priv_pc_gdp is population. So true mean of priv_pc_gdp is The true…
UnsplashのArda Demirkaynakが撮影した写真 www.crosshyou.info This post is following of above post. In the previous post, I made some visualizations with R ggplot2 package. In this post. In this post I will calculate confidence intervals. Fi…
UnsplashのAlicia Steelsが撮影した写真 www.crosshyou.info This post is following of above post.In the previous post, I made a dataframe for data analysis, named 'df2'.Now, let's start data analysis with data visualization.I will make 5 Name…
UnsplashのMilos Prelevicが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I load OECD Social spending data into R. I also load country ISO code and continent name data like below CSV file. I …
