Читать книгу Sports Analytics in Practice with R - Ted Kwartler - Страница 18

1 How is an IDE different than a coding language?

2 Describe the difference between a vector and a data frame or matrix?What is the difference between a data frame and matrix?

3 Construct a vector called `position` where the values are:“Center,” “Forward,” “Guard,” “Forward,” “Forward,” and “Guard.”Change the object type from character as it was constructed into a factor.Tabulate the `position` factor object using `table` in a new object called `tallyPosition`.Use a new function to quickly create a bar plot of the results. To do so, apply `barplot` on the ` tallyPosition` object.

4 Load ` library(RCurl) ` then create an object called “bostonStats” by loading the file here: https://raw.githubusercontent.com/kwartler/Practical_Sports_Analytics/main/C1_Data/2019-2020%20Boston%20Player%20Stats.csvHow many rows does this data frame have?How many columns does this data frame have?Examine the last 4 rows of the data programmatically? What player is listed as the fourth from the bottom?Using either indexing or column name, get summary statistics for the `GP_games_played` column. What is the third quartile of this statistic?

5 Load ` library(ggplot2) ` then create a quick plot of ` STEALS_PER_GAME` and ` TURNOVERS_PER_GAME`. Does there appear to be a relationship to the syle of play for strong defense and turnovers?

6 Load `library(tidyr)`, then create a heatmap of the Boston team data using ` REBOUNDS_PER_GAME`, ` ASSISTS_PER_GAME`, ` STEALS_PER_GAME`, and `BLOCKS_PER_GAME` by ` ï.PLAYER`Create a small data frame renaming the player column.Pivot the data frame.Create a `ggplot` visual with the pivoted data where` aes(x = stat, y = player, fill = value)`The chart type is `geom_tile()`The color intensity scales from “lightgreen” to “darkred”The x-axis label “Basketball Statistics”