100 lines
1.6 KiB
Plaintext
100 lines
1.6 KiB
Plaintext
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---
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title: "Rozmiary diamentów"
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date: 2016-08-25
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output: html_document
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---
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```{r setup, include = FALSE}
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knitr::opts_chunk$set(echo = FALSE)
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library(ggplot2)
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library(dplyr)
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library(tidyverse)
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smaller <- diamonds %>%
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filter(carat <= 2.5)
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```
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Mamy dane o `r nrow(diamonds)` diamentach. Tylko
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`r nrow(diamonds) - nrow(smaller)` diamentów jest większych niż 2,5 karata.
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Poniżej przedstawiony jest rozkład pozostałych:
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```{r, echo = FALSE}
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smaller %>%
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ggplot(aes(carat)) +
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geom_freqpoly(binwidth = 0.01)
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```
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# Wielkość diamentów w zależności od szlifu, koloru i przejrzystości.
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## Wielkość vs. Szlif
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```{r}
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diamonds %>%
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ggplot(aes(x=cut, y=carat)) +
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geom_boxplot()
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```
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## Wielkość vs. Kolor
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```{r}
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diamonds %>%
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ggplot(aes(x=color, y=carat)) +
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geom_boxplot()
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```
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## Wielkość vs. Przejrzystość
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```{r}
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diamonds %>%
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ggplot(aes(x=clarity, y=carat)) +
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geom_boxplot()
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```
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## TOP 20 diamnetów pod względem wielkości
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```{r}
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diamonds %>%
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top_n(20, wt=carat) %>%
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knitr::kable()
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```
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```{r}
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comma <- function(x) format(x, digits = 2, big.mark = ",")
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diamonds %>%
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group_by(carat > 2.5) %>%
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summarise(count=n()) %>%
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pivot_wider(names_from=`carat > 2.5`, values_from=count) %>%
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mutate(bigger_than_2.5 = as.numeric(`TRUE`)/as.numeric(sum(`TRUE`+`FALSE`))) %>%
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select(bigger_than_2.5) -> bigger_than_2.5
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percent <- bigger_than_2.5$bigger_than_2.5*100
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```
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Odsetek diamentów większych niż 2.5 karata wynosi `r comma(percent)`%.
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```{r a, cache=TRUE}
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lubridate::now()
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```
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```{r b, cache=TRUE}
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lubridate::now()
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```
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```{r c, cache=TRUE}
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lubridate::now()
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```
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```{r d, cache=TRUE}
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lubridate::now()
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```
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