solution part 1/2 from Tutorial 2 added

R/BIA_T02_RIntro2.Rmd

+---
+title:  'Tutorial 2: R Introduction 2'
+output: html_notebook
+editor_options: 
+  chunk_output_type: inline
+---
+
+This file is part of the lecture Business Intelligence & Analytics (EESYS-BIA-M), Information Systems and Energy Efficient Systems, University of Bamberg.
+
+```{r Load and inspect data}
+# Task 1 clone git repository
+
+# Task 2
+# Read data. Remember the relative path
+Shower <- read.csv2("../data/Shower_data.csv")
+
+?read.csv #help pages for format options of the data file
+
+# Task 3
+#  Inspect the dataset
+summary(Shower)
+str(Shower)
+
+head(Shower, n=30)
+tail(Shower, n=20)
+
+nrow(Shower)
+ncol(Shower)
+
+class(Shower)
+dim(Shower)
+names(Shower)
+```
+
+```{r Convert and take care about missing data}
+
+# Task 4
+# the group is not meaningful as numeric! Convert it to a factor
+Shower$group <- as.factor(Shower$group)
+summary(Shower)
+levels(Shower$group)
+
+# Task 5
+#level names of factors can be changed - mind the order of the elements!
+levels(Shower$group) <- c("First group", "Second group", "Fourth group", 
+                          "Third group", "Fifth group", "Sixth group")
+summary(Shower$group)
+
+# Task 6
+Shower_clean <- na.omit(Shower)
+summary(Shower_clean) # all rows having NA values in one or many columns are now removed
+```
+
+
+```{r Simple Statistics}
+# Task 5
+
+
+# Task 6
+
+
+# Task 7
+
+
+# Task 8
+
+
+# Task 9
+#compare variance and square of standard deviation
+
+#the comparison of numbers should be made considering a precision:
+
+
+# Task 10
+
+# Task 11
+```
+
+
+```{r Write and filter data}
+# Task 12
+
+
+# Task 13
+
+```
+