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This blog isn’t only about a random forest. I’ll write about machine learning in general, spatial analysis and data. I’ll focus on R language, primarily describing capabilities of its visualizations.
My blog consists of 3 sections:
trees: this section unites my blog posts
datahub: this is my collection of datasets, which covers sociological, spatial and economy data
---title: "Welcome to Random Forest"description: | Welcome to my new blog, Random Forest.author: - name: Roman Kyrychenko url: https://www.linkedin.com/in/kirichenko17roman/date: 10-28-2018output: distill::distill_article: self_contained: falsecategories: - ggplot2 - visualizationscreative_commons: CC BYimage: "Heart using ggplot2.png"---```{r setup, include=FALSE}knitr::opts_chunk$set(echo = FALSE, message = FALSE)```Hello world!This blog isn't only about a random forest. I'll write about machine learning in general, spatial analysis and data. I'll focus on R language, primarily describing capabilities of its visualizations.My blog consists of 3 sections:- trees: this section unites my blog posts- datahub: this is my collection of datasets, which covers sociological, spatial and economy data- root: here you can find some information about me```{r heart, echo=TRUE, fig.cap="Heart using ggplot2", preview=TRUE}require(ggplot2)require(dplyr)df <- tibble(t = seq(0, 2 * pi, by = 0.01)) %>% mutate( x = 16 * sin(t)^3, y = 13 * cos(t) - 5 * cos(2 * t) - 2 * cos(3 * t) - cos(4 * t))p <- ggplot(df, aes(x, y)) + geom_polygon(fill = "red", col = NA, alpha = 0.7) + theme_void()p``````{r heart2, echo=FALSE}ggsave("Heart using ggplot2.png", p)```<aside>Base of code from here: http://www.rpubs.com/RandhyllCho/250112</aside>