tutorial_page.Rmd

title: "Data Science Tutorial"
output: learnr::tutorial
runtime: shiny_prerendered

library(learnr)
knitr::opts_chunk$set(echo = FALSE)

Datenbasis

Datenherkunft

Wo kommen die Daten her?

Write the R code required to add two plus two:

Inhalt

Was ist der Inhalt der Datensatz.

Now write a function that adds any two numbers and then call it:

add <- function() {
  
}

Hypothesen

Mindestens 2 Hypothesen

Mindestens 2 Hypothesen

Datenaufbereitung

Einlesen von Daten

Here's an exercise where the chunk is pre-evaluated via the exercise.eval option (so the user can see the default output we'd like them to customize). We also add a "hint" to the correct solution via the chunk immediate below labeled print-limit-hint.

Modify the following code to limit the number of rows printed to 5:

mtcars

head(mtcars)

Inkonsistenzen und Leerstellen beheben

Here's an exercise where the chunk is pre-evaluated via the exercise.eval option (so the user can see the default output we'd like them to customize). We also add a "hint" to the correct solution via the chunk immediate below labeled print-limit-hint.

Modify the following code to limit the number of rows printed to 5:

Quiz

You can include any number of single or multiple choice questions as a quiz. Use the question function to define a question and the quiz function for grouping multiple questions together.

Some questions to verify that you understand the purposes of various base and recommended R packages:

quiz(
  question("Which package contains functions for installing other R packages?",
    answer("base"),
    answer("tools"),
    answer("utils", correct = TRUE),
    answer("codetools")
  ),
  question("Which of the R packages listed below are used to create plots?",
    answer("lattice", correct = TRUE),
    answer("tools"),
    answer("stats"),
    answer("grid", correct = TRUE)
  )
)

Datenanalyse

Mittelwert

Median

Varianz

Standardabweichung

Lineare Regression

Hypothesentest

Ergebnispräsentation

Streudiagramm

Kein Plan

Teaminfos

Nikolay Nikolaev

Maximilian Fronmüller

Lino Cortese