Data_Analysis
Generated by Bing Image Creator www.crosshyou.info This post is following of the above post. In the above post, I visualize replacement rates of 2014 and 2020. And there seems no signficant difference. In this post, let's confirm that usin…
Generated by Bing Image Creatorwww.crosshyou.info This post is following of the above post. In this post I will analysis difference between 2014 and 2020. First, I make a data frame to calculate difference between 2014 and 2020. filter() f…
UnsplashのIvan Jevticが撮影した写真 www.crosshyou.info This post is followong of the above post. In this post I will check the first question, 1 - MEN and WOMEN have different replacement rate? I use 'infer' package workflow, it is not the…
UnsplashのAyesha Firdausが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I load CSV file data into R with read_csv() function. In this post I make a data frame for analysis use. First, I sel…
UnsplashのQingbao Mengが撮影した写真 In this post, I will analyze OECD Gross pension replacement rates data. According to the above definions, the higher replacement rates implies richer retirement life wit pension income.First, I download…
UnsplashのAnisur Rahmanが撮影した写真 www.crosshyou.info This post is followoing of the above post. In this post I will do ANOVA analysis with "infer" package using R. I would like to see crop production are different by crop, maize, rice,…
UnsplashのDustin Humesが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will do Hierarchical Clustering using R. First, I make a matrix for clustering. I start with subsetting only year 2020 data. …
UnsplashのMelanie Kreutzが撮影した写真 www.crosshyou.info This post is following of the above post.I will see time-seires trend of productivity of crop production data in this post. I refrer to Hands-On Time Series Analysis with R: Perform…
UnsplashのOchir-Erdene Oyunmedegが撮影した写真 www.crosshyou.info This post is following of the above post. In this post, I will analyze correlations of vatiables. Let's begin with crop field area. I can use cor() function to see correlati…
UnsplashのSina Baharが撮影した写真 www.crosshyou.info This post is followiing of the above post. In this post, I will make wider format data frame from "df" data frame object. First, let's see "df" data frame. I see SUBJECT variable has 4 …
www.crosshyou.info This post is following of the above post. In this post, I will make crop productivity ranking by country. Crop productivity is "crop volume / crop field area", it is measured as TONNE_HA. Let's start with MAIZE. ISR(Isra…
UnsplashのSpenser Sembratが撮影した写真 www.crosshyou.info This post is following of the above post.The above post is ti make crop field are ranking. In this post, I will make crop volume ranling by location. First, MAIZE. USA, China, Bras…
UnsplashのMack Songが撮影した写真 www.crosshyou.info This post is following of the above post.In the previous post, I imported CSV file data into R. Then, let's visialize those data. First, let's see each 4 kinds of crops field area. Let's…
UnsplashのMelissa Askewが撮影した写真 In this post, I will analyzie OECD Crop production data. Firstly, I downloaded data from "OECD (2023), Crop production (indicator). doi: 10.1787/49a4e677-en (Accessed on 01 July 2023)" I use R to analy…
UnsplashのMartin Sanchezが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I made a panel data frame, n = 37, T = 2, N = 74. In this post, I do regression analysis with the panel data frame. F…
UnsplashのDaniel Pelaez Duqueが撮影した写真 www.crosshyou.info This post is following of the above post. In the previous post, I did regression analysis with time-series data. Unfortunately, I cannot make a statistically significant model.…
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 …
