---
title:  'Tutorial 8: Clustering'
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 libraries}
library(dplyr)
library(lubridate)
library(psych)
library(cluster)
library(readr)
```

```{r Read and prepare data}
# read data
consumption <- 
customer <- 
logins <- 
survey <- 
portal_points <- 

# convert data

# aggregate and calculate data

# Join data together

```

```{r Clustering 1 - A first try with extreme values}

```

```{r Clustering 2 - A second try with untransformed data}

```

```{r Clustering 3 - A third try with transformed data}

```

```{r Determine the right number of clusters}

```

```{r Clustering 4 - Using an hierarchical clustering approach}

```