About this project
One important note: this project was originally made in Dutch. I translated every description and comments in the code. Only table names are in Dutch.
This project is all about process improvement when organizing festivals. I designed the SQL database for this project for the festival organizers and used R to manipulate and visualize data.
Workflow:
1. Data collection
2. Pre-processing
3. Exploratory Data Analysis
1.1 Importing libraries:
library(dplyr)
library(ggplot2)
library(RSQLite)
library(forcats)
library(lubridate)
library(openxlsx)
library(rio)
library(ggrepel)
1.2 Database connection
con <- dbConnect(SQLite(), "/Users/milanpatty/Documents/Business/Semester_2/R/Proftaak/Festivate2.db")
1.3 Check whether the tables have been loaded successfully
as.data.frame(dbListTables(con))
| | | | |
---|
aanmeldingen | | | | |
beschikbare_middelen | | | | |
bezoeker | | | | |
campagne | | | | |
campagne_festival | | | | |
festival | | | | |
festival_categorie | | | | |
festival_categorie_festival | | | | |
festival_partners | | | | |
inkoop | | | | |
1.4 Create objects from the tables
aanmeldingen <- dbReadTable(con, 'aanmeldingen')
beschikbare_middelen <- dbReadTable(con, 'beschikbare_middelen')
Column `aantal`: mixed type, first seen values of type integer, coercing other values of type stringColumn `waarde`: mixed type, first seen values of type integer, coercing other values of type string
bezoeker <- dbReadTable(con, 'bezoeker')
campagne <- dbReadTable(con, 'festival')
campagne_festival <- dbReadTable(con, 'campagne_festival')
festival <- dbReadTable(con, 'festival')
festival_categorie <- dbReadTable(con, 'festival_categorie')
festival_categorie_festival <- dbReadTable(con, 'festival_categorie_festival')
festival_partners <- dbReadTable(con, 'festival_partners')
inkoop <- dbReadTable(con, 'inkoop')
inkoop_festival <- dbReadTable(con, 'inkoop_festival')
locatie <- dbReadTable(con, 'locatie')
partners <- dbReadTable(con, 'partners')
sponsoren <- dbReadTable(con, 'sponsoren')
ticket_categorie <- dbReadTable(con, 'ticket_categorie')
tickets <- dbReadTable(con, 'tickets')
verkoop_producten <- dbReadTable(con, 'verkoop_producten')
locatie_festival <- dbReadTable(con, 'locatie_festival')
verkoop_producten_festival <- dbReadTable(con, 'verkoop_producten_festival')
werknemers <- dbReadTable(con, 'werknemers')
werknemers_werkzaamheden <- dbReadTable(con, 'werknemers_werkzaamheden')
werkzaamheden <- dbReadTable(con, 'werkzaamheden')
werkzaamheden_festival <- dbReadTable(con, 'werkzaamheden_festival')
2. Pre-processing
The second step after data collection is the pre-processing of data. This includes various things such as class labelling (indicating the correct data type), data cleaning (correcting, for example, incorrectly spelt names) and the handling of missing values. Furthermore, the data I use from my database is tidy according to the 3 rules:
- Each variable has its own column.
- Each observation has its own row.
- Each value has its own cell.
2.1 Table Location
While setting up the database, a group member responsible for the table miswritten the word ‘capaciteit’(capacity) Of course, we want to fix this bug and make sure it gets correct everywhere. Since bezoekers_capiciteit (visitor_capacity) is a column, it can easily be renamed with the function rename
.
locatie <-locatie %>%
rename(bezoekers_capaciteit = bezoekers_capiciteit)
To see if the change is correct:
[1] "locatie_id" "naam"
[3] "adres" "plaats"
[5] "areas" "bezoekers_capaciteit"
3. EDA
3.1 What is the visitor capacity per location?
The figure below shows all locations with the corresponding visitor capacity. These are a total of 15 locations, each of which has its areas. What is striking is that the top 3 locations with the most capacity take up 59.01% of the total capacity and the 5 locations with the least capacity only take up 6.83%. By chance, it does not mean that locations with more areas can have more visitors. The location with the most areas is the Berendonck in Wijchen, where the annual Emporium festival is held. These locations have no fewer than 17 areas and they only take up 6.21% of the total capacity. This substantiation has been validated with calculation functions in Excel and is also stored there.
locatie %>%
mutate(naam = fct_reorder(naam, bezoekers_capaciteit)) %>%
ggplot( aes(x=naam, y=bezoekers_capaciteit)) +
geom_bar(stat="identity", fill="#f68060", alpha=.7, width=.6) +
coord_flip() +
xlab('Location') +
ylab('Visitor capacity')+
ggtitle('Visitor capacity per location')+
theme_bw(base_size = 15)
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)
3.2 What are the sales per month?
Below you can see the sales per month divided over 2018, 2019 and 2021. What can be seen in this figure is that there are years where some months have no sales. For 2018 this will be April and for 2019 and 2021 it will both be March. in 2018 total sales were € 491,043.00 compared to 2019 and 2021, where it was both € 113,104.00. Average sales in 2018 were € 61,381.25, in 2019 and 2021 it was both € 14,138.88. These calculations have been validated with Excel’s calculation functions.
SELECT product, ROUND(prijs,2) AS prijs, aantal, leverancier, datum
FROM inkoop i
JOIN inkoop_festival ink
ON ink.inkoop_id = i.inkoop_id
JOIN festival f
ON ink.festival_id = f.festival_id
afzet %>%
mutate(jaar = year(datum), maand= month(datum), afzet_prijs = aantal * prijs) %>%
group_by(jaar, maand) %>%
summarise(afzet = sum(afzet_prijs)) %>%
ggplot(aes(maand, afzet, fill=factor(maand))) + geom_bar(stat = 'identity') + facet_grid(~ jaar) +
scale_y_continuous(breaks=seq(0,200000,10000)) +
scale_x_continuous(breaks=seq(3,9,1)) +
ggtitle('Sales per month divided over 2018, 2019 & 2021') +
xlab('Month') +
ylab('Sales in €') +
theme_bw(base_size = 16) +
theme(legend.position = "none")
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)
afzet_output <- afzet %>%
mutate(jaar = year(datum), maand= month(datum), afzet_prijs = aantal * prijs)
export(afzet_output, 'afzet.xlsx')
3.4 Which Festivals have more than 3 partners?
For this query, I am using a CTE as a resultset. I hereby show which festivals have more than 3 partners. In the CTE I select the festivals and count the number of partners they have. I hereby join on 2 tables: partners and the intermediate table festival_partners. Then I group by festival name. In the query, I select all festivals that have more than 3 partners. I validated this by looking in the database which festivals have which partners.
WITH festival_partners_cte
AS
(
SELECT f.naam AS festival_naam, COUNT(p.naam) AS aantal_partners
FROM festival f
JOIN festival_partners fp
ON fp.festival_id = f.festival_id
JOIN partners p
ON p.partner_id = fp.partner_id
GROUP BY f.naam
)
SELECT festival_naam, aantal_partners
FROM festival_partners_cte
WHERE aantal_partners > 3
3.5 Which purchasing supplier supplies the most products?
In this query, I show which supplier delivers the most products in numbers and what percentage this is of the total deliveries. First of all, I add up the products by grouping them by the supplier name, then I count all products and divide them by all the products that are in the purchase table. I round this to 2 decimal places. Below you can see that the Makro supplies no less than 33.33% of all products and the numbers 2 and 3 are also good for 33.33% in total. This means that only the top 3 suppliers already supply 66.66% of all products. These calculations have been validated in excel.
SELECT leverancier,COUNT(product) AS aantal, ROUND(100.0 * COUNT(*) / (SELECT COUNT(*) FROM inkoop),2) AS percentage
FROM inkoop
GROUP BY leverancier
ORDER BY percentage DESC
| | | | |
---|
makro | 10 | 33.33 | | |
sligro | 6 | 20.00 | | |
hanos | 4 | 13.33 | | |
goedkoopdrank | 3 | 10.00 | | |
wijnvoordeel | 1 | 3.33 | | |
watercoolergigant | 1 | 3.33 | | |
treb | 1 | 3.33 | | |
plus | 1 | 3.33 | | |
horecabier | 1 | 3.33 | | |
eventtrading | 1 | 3.33 | | |
3.6 The ratio of sex of visitors
Below you can see the gender ratio of the festival visitors. 52% of the festival visitors are male while 48% of the visitors are female(vrouw). For this chunk I did the following: from the visitor table, I started grouping by gender. Then I started to minimize all rows by using summarise and counting the rows for each gender. Then I started plotting everything. I want to put the percentages on the Y-axis and I want to use the levels of the factor as colour. This chunk has been validated using an SQL query that gives the same result.
bezoeker %>%
group_by(geslacht) %>%
summarise(aantal = n()) %>%
mutate(procent = round(100 * aantal / sum(aantal), 1)) %>%
ggplot(aes(x = '', y = aantal ,fill = factor(geslacht))) +
geom_bar(width = 1, stat='identity') +
coord_polar(theta = "y") +
theme_void() +
ggtitle('The ratio of sex of visitors') +
guides(fill=guide_legend(title="Sex")) +
scale_fill_manual(values=c("#00ccff", "#ff0000")) +
geom_label_repel(aes(label = procent), size = 5, show.legend = F)
![](data:image/png;base64,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)
The validation:
select geslacht, ROUND(COUNT(*) *100 / (select count(*) FROM bezoeker),2) AS percentage
FROm bezoeker
group by geslacht
3.7 Which visitors went to Mysteryland in 2018 and have also been to Mysteryland in subsequent years?
Below you can see which festival visitors have been to Mysteryland in 2018 and then returned in consecutive years. The first query consists of an inline view and 2 subqueries, the last validation query consists of a CTE and a query. Here I use a CASE statement as an Inline IF to select values that meet a certain condition.
SELECT voornaam, achternaam, bezoeker_id
FROM
(
SELECT f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
FROM festival f
JOIN aanmeldingen a
ON a.festival_id = f.festival_id
JOIN bezoeker b
ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2018' AND festival_naam = 'Mysteryland'
AND bezoeker_id in
(
SELECT bezoeker_id
FROM
(
SELECT f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
FROM festival f
JOIN aanmeldingen a
ON a.festival_id = f.festival_id
JOIN bezoeker b
ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2019' AND festival_naam = 'Mysteryland'
)
AND bezoeker_id IN
(
SELECT bezoeker_id
FROM
(
SELECT f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
FROM festival f
JOIN aanmeldingen a
ON a.festival_id = f.festival_id
JOIN bezoeker b
ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2021' AND festival_naam = 'Mysteryland'
)
| | | | |
---|
Piet | Jansen | 2 | | |
Jan | Peters | 1 | | |
Boudewijn | Stockovich | 35 | | |
WITH result_set AS
(
SELECT DISTINCT f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
FROM festival f
JOIN aanmeldingen a
ON a.festival_id = f.festival_id
JOIN bezoeker b
ON b.bezoeker_id = a.bezoeker_id
)
SELECT DISTINCT bezoeker_id, voornaam, achternaam,
CASE
WHEN festival_naam ='Mysteryland' AND jaar = '2018' THEN 'Ja'
WHEN jaar = '2019' AND jaar = '2021' THEN 'Ja'
ELSE 'Nee' END AS geweest
from result_set
ORDER BY geweest
| | | | |
---|
2 | Piet | Jansen | Ja | |
1 | Jan | Peters | Ja | |
35 | Boudewijn | Stockovich | Ja | |
2 | Piet | Jansen | Nee | |
3 | Hans | Hendriks | Nee | |
4 | Simone | Frederiks | Nee | |
5 | Lies | van Straten | Nee | |
6 | Erik | Smeets | Nee | |
7 | Linda | Bouwer | Nee | |
8 | Bob | Gerards | Nee | |
3.8 What is the age distribution of the festival visitors?
The figure below shows the age distribution of the festival visitors by gender. What is obvious is that fewer 40+ men go to festivals compared to 40+ women. Up to the age of 32, more men than women attend festivals, while many young women (18 to 20) attend festivals. The average age of the festival visitors is 27 years and the median is 23. The oldest visitor is 52 for men and 54 for women. The youngest visitors of both men and women are both 18 years old. Man = Male, vrouw = Female
bezoeker$leeftijd <- as.numeric(difftime(Sys.Date(),bezoeker$geboorte_datum, units = "weeks"))/52.25
bezoeker$leeftijd <- floor(bezoeker$leeftijd)
ggplot(bezoeker, aes(x=leeftijd, fill=geslacht)) +
geom_histogram(position="identity",binwidth=2, alpha=0.6) +
scale_x_continuous(breaks=seq(18,60,2)) +
scale_y_continuous(breaks=seq(0,15,1)) +
geom_vline(aes(xintercept=mean(leeftijd)), color="purple",
linetype="dashed") +
geom_vline(aes(xintercept=median(leeftijd)), color="black",
linetype="dashed") +
labs(title="Age distribution Festival visitors",x="Age", y = "Count")+
theme_bw(base_size = 16) +
scale_fill_manual(values=c("#00ccff", "#ff0000"))
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)
ggplot(bezoeker, aes(x=leeftijd)) +
geom_histogram(position="identity",binwidth=2, alpha=0.6) +
scale_x_continuous(breaks=seq(18,60,2)) +
scale_y_continuous(breaks=seq(0,15,1)) +
labs(title="Age distribution Festival visitors by sex",x="Age", y = "Count")+
theme_bw(base_size = 16) +
scale_fill_manual(values=c("#00ccff", "#ff0000")) + facet_wrap(~ geslacht)
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)
3.9 What is the average age per gender of the festival visitors who attend Techno festivals in 2019?
Below is the average age per gender of the festival visitors who went to Techno festivals in 2019. This query consists of 3 parts: The query, inline view as result set and a subquery. First of all, use a cast to round the average age down because SQLite has no floor function. Then I use an inline view where I select all unique visitors who went to festivals in 2019. I also calculate to calculate the age. I also create a subquery that serves as a result set where visitors went to techno festivals. This, combined with the rest, provides an overview of the average age per gender of the festival visitors who go to techno festivals.
SELECT geslacht ,cast ( AVG(leeftijd) as int ) - ( AVG(leeftijd) < cast ( AVG(leeftijd) as int )) AS gemiddelde_leeftijd
FROM
(
SELECT DISTINCT b.bezoeker_id, voornaam, achternaam,
(strftime('%Y', 'now') - strftime('%Y', geboorte_datum)) - (strftime('%m-%d', 'now') < strftime('%m-%d', geboorte_datum)) AS leeftijd, geslacht, strftime('%Y', datum) AS jaar
FROM bezoeker b
JOIN aanmeldingen a ON a.bezoeker_id = b.bezoeker_id
JOIN festival f ON f.festival_id = a.festival_id
WHERE jaar = '2019' AND b.bezoeker_id IN
(
SELECT b.bezoeker_id
FROM festival f
JOIN aanmeldingen a ON a.festival_id = f.festival_id
JOIN bezoeker b on b.bezoeker_id = a.bezoeker_id
JOIN festival_categorie_festival fcf ON fcf.festival_id = f.festival_id
JOIN festival_categorie fc ON fc.categorie_id = fcf.categorie_id
WHERE fc.naam =='Techno'
)
)t
GROUP BY geslacht
3.10 What is the average age of the festival visitors who went to Emporium in 2019?
Below is the average age of the festival visitors who went to Emporium in 2019. From the festival table I join 4 other tables: aanmeldingen(registrations), bezoeker(visitor), festival_categorie_festival(between table) & festival_categorie(festival category). Then I filter on the festival name and year of the festival. Then I group by sex and minimize all rows because I want to know the average age based on sex.
festival %>%
inner_join(aanmeldingen, by='festival_id') %>%
inner_join(bezoeker, by='bezoeker_id') %>%
inner_join(festival_categorie_festival, by='festival_id') %>%
inner_join(festival_categorie, by='categorie_id') %>%
filter(naam.x == 'Emporium' & year(datum) =='2019') %>%
group_by(geslacht) %>%
summarise(gemiddelde_leeftijd = mean(leeftijd.y))
3.11 What is the lowest, average and greatest revenue of the products from the sales table for each year?
Below is an overview of the revenue from the sales table for each year. For each year I show the lowest, average and highest turnover that was achieved in that year. From the verkoop_producten (sales_products) table I join 2 other tables: the between table and festival. Then I create a new column for the revenue: the price times the number of pieces is the revenue. Then I group by the year of each date and I minimize the rows with the corresponding revenue for each year.
verkoop_producten %>%
inner_join(verkoop_producten_festival, by='verkoop_id') %>%
inner_join(festival, by='festival_id') %>%
mutate(omzet = prijs * aantal) %>%
group_by(year(datum)) %>%
summarise(gemiddelde_omzet = round(mean(omzet),2),
laagste_omzet = round(min(omzet),2),
hoogste_omzet = round(max(omzet),2))
| | | | |
---|
2018 | 25395.87 | 4400 | 80000 | |
2019 | 16906.47 | 4400 | 62785 | |
2021 | 25120.40 | 4400 | 80000 | |
3.12 How many pop festivals were organized per year?
Below is a small overview where you can see how many pop festivals are held each year. First of all, I select the festival table and join 4 other tables, 2 intermediate tables and the festival_category + location table. Then I group by each year and I filter by the music genre and finally I count this so that you can see how many pop festivals there are given each year.
festival %>%
inner_join(festival_categorie_festival, by='festival_id') %>%
inner_join(festival_categorie, by='categorie_id') %>%
inner_join(locatie_festival, by='festival_id') %>%
inner_join(locatie, by='locatie_id') %>%
group_by(year(datum.x)) %>%
filter(genre=='Pop') %>%
count(genre)
---
title: "Project: Festivate (EDA)"
output: html_notebook
---

## About this project
One important note: this project was originally made in Dutch. I translated every description and comments in the code. Only table names are in Dutch.

This project is all about process improvement when organizing festivals. I designed the SQL database for this project for the festival organizers and used R to manipulate and visualize data.

### Workflow:

### 1. Data collection
### 2. Pre-processing
### 3. Exploratory Data Analysis

### 1.1 Importing libraries:
```{r echo=TRUE}
library(dplyr) # Data manipulation
library(ggplot2) # Data visualization
library(RSQLite) # Database connection
library(forcats) # Factors
library(lubridate) # Dates
library(openxlsx) # Export to Excel
library(rio) # Export to Excel
library(ggrepel) # Pie chart
```

### 1.2 Database connection 
```{r echo=TRUE}
con <- dbConnect(SQLite(), "/Users/milanpatty/Documents/Business/Semester_2/R/Proftaak/Festivate2.db")
```

### 1.3 Check whether the tables have been loaded successfully
```{r}
as.data.frame(dbListTables(con))
```

### 1.4 Create objects from the tables
```{r echo=TRUE}
aanmeldingen <- dbReadTable(con, 'aanmeldingen')
beschikbare_middelen <- dbReadTable(con, 'beschikbare_middelen')
bezoeker <- dbReadTable(con, 'bezoeker')
campagne <- dbReadTable(con, 'festival')
campagne_festival <- dbReadTable(con, 'campagne_festival')
festival <- dbReadTable(con, 'festival')
festival_categorie <- dbReadTable(con, 'festival_categorie')
festival_categorie_festival <- dbReadTable(con, 'festival_categorie_festival')
festival_partners <- dbReadTable(con, 'festival_partners')
inkoop <- dbReadTable(con, 'inkoop')

inkoop_festival <- dbReadTable(con, 'inkoop_festival')
locatie <- dbReadTable(con, 'locatie')
partners <- dbReadTable(con, 'partners')
sponsoren <- dbReadTable(con, 'sponsoren')
ticket_categorie <- dbReadTable(con, 'ticket_categorie')
tickets <- dbReadTable(con, 'tickets')
verkoop_producten <- dbReadTable(con, 'verkoop_producten')
locatie_festival <- dbReadTable(con, 'locatie_festival')
verkoop_producten_festival <- dbReadTable(con, 'verkoop_producten_festival')
werknemers <- dbReadTable(con, 'werknemers')

werknemers_werkzaamheden <- dbReadTable(con, 'werknemers_werkzaamheden')
werkzaamheden <- dbReadTable(con, 'werkzaamheden')
werkzaamheden_festival <- dbReadTable(con, 'werkzaamheden_festival')
```

## 2. Pre-processing
The second step after data collection is the pre-processing of data. This includes various things such as class labelling (indicating the correct data type), data cleaning (correcting, for example, incorrectly spelt names) and the handling of missing values. Furthermore, the data I use from my database is tidy according to the 3 rules:

1. Each variable has its own column.
2. Each observation has its own row.
3. Each value has its own cell.

### 2.1 Table Location
While setting up the database, a group member responsible for the table miswritten the word 'capaciteit'(capacity) Of course, we want to fix this bug and make sure it gets correct everywhere. Since bezoekers_capiciteit (visitor_capacity) is a column, it can easily be renamed with the function `rename`.
```{r}
locatie <-locatie %>%
  rename(bezoekers_capaciteit = bezoekers_capiciteit)
```
To see if the change is correct:
```{r}
colnames(locatie)
```

## 3. EDA

### 3.1 What is the visitor capacity per location?
The figure below shows all locations with the corresponding visitor capacity. These are a total of 15 locations, each of which has its areas. What is striking is that the top 3 locations with the most capacity take up 59.01% of the total capacity and the 5 locations with the least capacity only take up 6.83%. By chance, it does not mean that locations with more areas can have more visitors. The location with the most areas is the Berendonck in Wijchen, where the annual Emporium festival is held. These locations have no fewer than 17 areas and they only take up 6.21% of the total capacity. This substantiation has been validated with calculation functions in Excel and is also stored there.
```{r}
locatie %>%
  mutate(naam = fct_reorder(naam, bezoekers_capaciteit)) %>% # Mutate for the new column with the correct factor order
  ggplot( aes(x=naam, y=bezoekers_capaciteit)) + # First 2 layers of a plot: Data + Aesthetics
    geom_bar(stat="identity", fill="#f68060", alpha=.7, width=.6) + # 3rd layer of the plot, stat='identity' because I have values for x&y
    coord_flip() + # Switching axis
    xlab('Location') +
    ylab('Visitor capacity')+
    ggtitle('Visitor capacity per location')+
    theme_bw(base_size = 15)
```

### 3.2 What are the sales per month?
Below you can see the sales per month divided over 2018, 2019 and 2021. What can be seen in this figure is that there are years where some months have no sales. For 2018 this will be April and for 2019 and 2021 it will both be March. in 2018 total sales were € 491,043.00 compared to 2019 and 2021, where it was both € 113,104.00. Average sales in 2018 were € 61,381.25, in 2019 and 2021 it was both € 14,138.88. These calculations have been validated with Excel's calculation functions.

```{sql connection=con, output.var='afzet'}
SELECT product, ROUND(prijs,2) AS prijs, aantal, leverancier, datum /* Round off to 2 decimal places at Round because it is a price */
FROM inkoop i
JOIN inkoop_festival ink
ON ink.inkoop_id = i.inkoop_id
JOIN festival f
ON ink.festival_id = f.festival_id
```

```{r}
afzet$aantal[31] <- 300 # Change quantity because this error is in the database
```

```{r fig.width=12}
afzet %>%
  mutate(jaar = year(datum), maand= month(datum), afzet_prijs = aantal * prijs) %>% # Create new columns for the year, month and sales
  group_by(jaar, maand) %>% # Group by year and month
  summarise(afzet = sum(afzet_prijs)) %>% # Minimizing all rows by means of an accumulated sales per year and month

ggplot(aes(maand, afzet, fill=factor(maand))) + geom_bar(stat = 'identity') + facet_grid(~ jaar) + #As color I use the factor levels of month, stat = 'identity' because I use values for x & y, then facet_grid to distribute the visualizations over the years.
  scale_y_continuous(breaks=seq(0,200000,10000)) + # y axis reset
  scale_x_continuous(breaks=seq(3,9,1)) + # reset axis
  ggtitle('Sales per month divided over 2018, 2019 & 2021') +
  xlab('Month') +
  ylab('Sales in €') +
  theme_bw(base_size = 16) +
  theme(legend.position = "none")
```

```{r}
afzet_output <- afzet %>% # create an object from this data to later validate it in excel
  mutate(jaar = year(datum), maand= month(datum), afzet_prijs = aantal * prijs)
```

```{r}
export(afzet_output, 'afzet.xlsx') # Export
```

### 3.3 Which Festivals have a sponsor who sponsors an item with a value above € 5500?
The figure below shows which festivals have sponsored an item with a value above € 5500. What is obvious is that the 2 festivals that have the highest value have both been given a budget that together is 49.8% of the total sponsored values above € 5500. The 5 festivals with the lowest sponsored values account for only 15.34% of the total sponsored amount. These calculations have been validated with excel.
```{sql connection=con, output.var='sponsor_lijstje'}
/* Use SQL query and save this output to use in R. Inline view as result set and add a new column for year. Then filter for values above 5,500 euros and values that are not null. */
SELECT festival_naam, sponsor_naam, item, waarde, jaar
FROM  
(
    SELECT f.naam AS festival_naam, item, s.naam AS sponsor_naam, waarde, strftime('%Y',datum) as "jaar"
    FROM festival f
    JOIN beschikbare_middelen bm
    ON bm.festival_id = f.festival_id
    JOIN sponsoren s
    ON s.sponsor_id = bm.sponsor_id
)t
WHERE waarde > 5500 AND waarde IS NOT NULL
AND jaar = '2019'
ORDER BY waarde
```

```{r fig.width=15}
options(scipen=999) # Remove math notation
sponsor_lijstje<- data.frame(sponsor_lijstje)[1:10,] # Validate my SQL chunk. The output indicated 10 items above 5000 euro and 3 null values, with this I select only those 10 items that have a value and those 3 others are dropped.
  sponsor_lijstje %>%
  mutate(festival_naam = fct_reorder(festival_naam, waarde)) %>% # use of forcats to rearrange the factor levels based on the values they have so that they go from high to low
  ggplot(aes(festival_naam, waarde, fill=item)) +  # as color I want to show the item being sponsored
  geom_bar(stat='identity', width = .6) + # for the 2 values
  coord_flip() + # Switching the x & y axis
  ggtitle('Festivals in 2019 that were sponsored 1 item with a value above € 5500') +
  xlab('Festival name') +
  ylab('Value item in €') +
  theme_bw(base_size = 16) +
  guides(fill=guide_legend(title="Name Item")) +
  scale_y_continuous(breaks=seq(0,150000,20000)) # rearrange y axis
```
```{r}
export(sponsor_lijstje, 'sponsors.xlsx') # export for validation
```


### 3.4 Which Festivals have more than 3 partners?
For this query, I am using a CTE as a resultset. I hereby show which festivals have more than 3 partners. In the CTE I select the festivals and count the number of partners they have. I hereby join on 2 tables: partners and the intermediate table festival_partners. Then I group by festival name. In the query, I select all festivals that have more than 3 partners. I validated this by looking in the database which festivals have which partners.
```{sql connection=con}
WITH festival_partners_cte
AS
(
SELECT f.naam AS festival_naam, COUNT(p.naam) AS aantal_partners /* Partners count per festival */
FROM festival f
JOIN festival_partners fp
ON fp.festival_id = f.festival_id
JOIN partners p 
ON p.partner_id = fp.partner_id
GROUP BY f.naam
)

SELECT festival_naam, aantal_partners
FROM festival_partners_cte
WHERE aantal_partners > 3 /* Select festivals that have more than 3 partners. */

```


### 3.5 Which purchasing supplier supplies the most products?
In this query, I show which supplier delivers the most products in numbers and what percentage this is of the total deliveries. First of all, I add up the products by grouping them by the supplier name, then I count all products and divide them by all the products that are in the purchase table. I round this to 2 decimal places. Below you can see that the Makro supplies no less than 33.33% of all products and the numbers 2 and 3 are also good for 33.33% in total. This means that only the top 3 suppliers already supply 66.66% of all products. These calculations have been validated in excel.
```{sql connection=con}
SELECT leverancier,COUNT(product) AS aantal, ROUND(100.0 * COUNT(*) / (SELECT COUNT(*) FROM inkoop),2) AS percentage /* calculate percentage */
FROM inkoop
GROUP BY leverancier
ORDER BY percentage DESC
```

### 3.6 The ratio of sex of visitors
Below you can see the gender ratio of the festival visitors. 52% of the festival visitors are male while 48% of the visitors are female(vrouw). For this chunk I did the following: from the visitor table, I started grouping by gender. Then I started to minimize all rows by using summarise and counting the rows for each gender. Then I started plotting everything. I want to put the percentages on the Y-axis and I want to use the levels of the factor as colour. This chunk has been validated using an SQL query that gives the same result.
```{r}
bezoeker %>%
  group_by(geslacht) %>% # group by
  summarise(aantal = n()) %>% # count
  mutate(procent = round(100 * aantal / sum(aantal), 1)) %>% # create new column
ggplot(aes(x = '', y = aantal ,fill = factor(geslacht))) + # plotting
  geom_bar(width = 1, stat='identity') + # stat = 'identity' because x and y are used
  coord_polar(theta = "y") + 
  theme_void() + # remove background lines
  ggtitle('The ratio of sex of visitors') +
  guides(fill=guide_legend(title="Sex")) + 
  scale_fill_manual(values=c("#00ccff", "#ff0000")) + # colors
  geom_label_repel(aes(label = procent), size = 5, show.legend = F) 
```

The validation:
```{sql connection=con}
select geslacht,  ROUND(COUNT(*) *100 / (select count(*) FROM bezoeker),2) AS percentage
FROm bezoeker
group by geslacht
```

### 3.7 Which visitors went to Mysteryland in 2018 and have also been to Mysteryland in subsequent years?
Below you can see which festival visitors have been to Mysteryland in 2018 and then returned in consecutive years. The first query consists of an inline view and 2 subqueries, the last validation query consists of a CTE and a query. Here I use a CASE statement as an Inline IF to select values that meet a certain condition.
```{sql connection=con}
SELECT voornaam, achternaam, bezoeker_id
FROM
(
  SELECT  f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
  FROM festival f
   JOIN aanmeldingen a
  ON a.festival_id = f.festival_id
   JOIN bezoeker b
  ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2018' AND festival_naam = 'Mysteryland'
AND bezoeker_id in /* Subquery */
(
	SELECT bezoeker_id
	FROM
(
  /* Inline view */
	SELECT  f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
	FROM festival f
	 JOIN aanmeldingen a
	ON a.festival_id = f.festival_id
	 JOIN bezoeker b
	ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2019' AND festival_naam = 'Mysteryland'
)
AND bezoeker_id IN /* Subquery */
(
SELECT bezoeker_id
FROM
(
  /* Inline view */
  SELECT  f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
  FROM festival f
   JOIN aanmeldingen a
  ON a.festival_id = f.festival_id
   JOIN bezoeker b
  ON b.bezoeker_id = a.bezoeker_id
)t
WHERE jaar = '2021' AND festival_naam = 'Mysteryland'
)
```

```{sql connection=con}
WITH result_set AS /* CTE as result set */
(
	SELECT DISTINCT f.naam AS festival_naam, b.voornaam AS voornaam, b.achternaam AS achternaam, b.bezoeker_id, strftime('%Y',datum) as "jaar"
	  FROM festival f
	   JOIN aanmeldingen a
	  ON a.festival_id = f.festival_id
	   JOIN bezoeker b
	  ON b.bezoeker_id = a.bezoeker_id
  )
  
  SELECT DISTINCT bezoeker_id, voornaam, achternaam, 
  CASE 
	WHEN festival_naam ='Mysteryland' AND jaar = '2018' THEN 'Ja'  /* Case as a replacement for Inline IF */
	WHEN jaar = '2019' AND jaar = '2021' THEN 'Ja' /* Consists of 3 mandatory parts: CASE, WHEN & END, ELSE is optional */
	ELSE 'Nee' END AS geweest
  from result_set
  ORDER BY geweest
```

### 3.8 What is the age distribution of the festival visitors?
The figure below shows the age distribution of the festival visitors by gender. What is obvious is that fewer 40+ men go to festivals compared to 40+ women. Up to the age of 32, more men than women attend festivals, while many young women (18 to 20) attend festivals. The average age of the festival visitors is 27 years and the median is 23. The oldest visitor is 52 for men and 54 for women. The youngest visitors of both men and women are both 18 years old.
Man = Male, vrouw = Female
```{r fig.width=12}
bezoeker$leeftijd <- as.numeric(difftime(Sys.Date(),bezoeker$geboorte_datum, units = "weeks"))/52.25 # age formula
bezoeker$leeftijd <- floor(bezoeker$leeftijd) # to round down

ggplot(bezoeker, aes(x=leeftijd, fill=geslacht)) + # plotting
  geom_histogram(position="identity",binwidth=2, alpha=0.6) + 
  scale_x_continuous(breaks=seq(18,60,2)) + # rearrange the axes
  scale_y_continuous(breaks=seq(0,15,1)) + # rearrange the axes
  geom_vline(aes(xintercept=mean(leeftijd)), color="purple", # Mean 
             linetype="dashed") +
  geom_vline(aes(xintercept=median(leeftijd)), color="black", # Median
             linetype="dashed") +
  labs(title="Age distribution Festival visitors",x="Age", y = "Count")+
  theme_bw(base_size = 16) + 
  scale_fill_manual(values=c("#00ccff", "#ff0000")) # colors
```

```{r fig.width=12}
ggplot(bezoeker, aes(x=leeftijd)) + # plotting
  geom_histogram(position="identity",binwidth=2, alpha=0.6) + 
  scale_x_continuous(breaks=seq(18,60,2)) + # rearrange the axes
  scale_y_continuous(breaks=seq(0,15,1)) + # rearrange the axes
  labs(title="Age distribution Festival visitors by sex",x="Age", y = "Count")+
  theme_bw(base_size = 16) + 
  scale_fill_manual(values=c("#00ccff", "#ff0000")) + facet_wrap(~ geslacht) # separate visualization based on sex
```

### 3.9 What is the average age per gender of the festival visitors who attend Techno festivals in 2019?
Below is the average age per gender of the festival visitors who went to Techno festivals in 2019. This query consists of 3 parts: The query, inline view as result set and a subquery. First of all, use a cast to round the average age down because SQLite has no floor function. Then I use an inline view where I select all unique visitors who went to festivals in 2019. I also calculate to calculate the age. I also create a subquery that serves as a result set where visitors went to techno festivals. This, combined with the rest, provides an overview of the average age per gender of the festival visitors who go to techno festivals.
```{sql connection=con}
/* Cast is used for converting to int data type to round down eventually because SQLite has no floor function. I use an inline view as a result set in which I calculate someone's age with a formula. Finally, I use a subquery that indicates which visitors went to techno festivals.*/
SELECT geslacht ,cast ( AVG(leeftijd) as int ) - ( AVG(leeftijd) < cast ( AVG(leeftijd) as int )) AS gemiddelde_leeftijd 
FROM 
(
  SELECT DISTINCT b.bezoeker_id, voornaam, achternaam,
  (strftime('%Y', 'now') - strftime('%Y', geboorte_datum)) - (strftime('%m-%d', 'now') < strftime('%m-%d', geboorte_datum)) AS leeftijd,   geslacht, strftime('%Y', datum) AS jaar
  FROM bezoeker b
  JOIN aanmeldingen a ON a.bezoeker_id = b.bezoeker_id
  JOIN festival f ON f.festival_id = a.festival_id
  WHERE jaar = '2019' AND b.bezoeker_id IN
  (
     SELECT b.bezoeker_id
     FROM festival f
     JOIN aanmeldingen a ON a.festival_id = f.festival_id
     JOIN bezoeker b on b.bezoeker_id = a.bezoeker_id
     JOIN festival_categorie_festival fcf ON fcf.festival_id = f.festival_id
     JOIN festival_categorie fc ON fc.categorie_id = fcf.categorie_id
     WHERE fc.naam =='Techno'
  )
)t
GROUP BY geslacht
```

### 3.10 What is the average age of the festival visitors who went to Emporium in 2019?
Below is the average age of the festival visitors who went to Emporium in 2019. From the festival table I join 4 other tables: aanmeldingen(registrations), bezoeker(visitor), festival_categorie_festival(between table) & festival_categorie(festival category). Then I filter on the festival name and year of the festival. Then I group by sex and minimize all rows because I want to know the average age based on sex.
```{r}
festival %>%
  inner_join(aanmeldingen, by='festival_id') %>%
  inner_join(bezoeker, by='bezoeker_id') %>%
  inner_join(festival_categorie_festival, by='festival_id') %>%
  inner_join(festival_categorie, by='categorie_id') %>%
  filter(naam.x == 'Emporium' & year(datum) =='2019') %>% # filtering
  group_by(geslacht) %>% # group by sex
  summarise(gemiddelde_leeftijd = mean(leeftijd.y)) # average age
```

### 3.11 What is the lowest, average and greatest revenue of the products from the sales table for each year?
Below is an overview of the revenue from the sales table for each year. For each year I show the lowest, average and highest turnover that was achieved in that year. From the verkoop_producten (sales_products) table I join 2 other tables: the between table and festival. Then I create a new column for the revenue: the price times the number of pieces is the revenue. Then I group by the year of each date and I minimize the rows with the corresponding revenue for each year.
```{r}
verkoop_producten %>%
  inner_join(verkoop_producten_festival, by='verkoop_id') %>% # join matching values
  inner_join(festival, by='festival_id') %>% # join matching values
  mutate(omzet = prijs * aantal)  %>% # add new column for sales
  group_by(year(datum)) %>% # group by year
  summarise(gemiddelde_omzet = round(mean(omzet),2), # minimize on average revenue
            laagste_omzet = round(min(omzet),2), # minimize on lowest revenue
            hoogste_omzet = round(max(omzet),2)) # minimize on highest revenue
```

### 3.12 How many pop festivals were organized per year?
Below is a small overview where you can see how many pop festivals are held each year. First of all, I select the festival table and join 4 other tables, 2 intermediate tables and the festival_category + location table. Then I group by each year and I filter by the music genre and finally I count this so that you can see how many pop festivals there are given each year.
```{r}
festival %>%
  inner_join(festival_categorie_festival, by='festival_id') %>% # join matching values
  inner_join(festival_categorie, by='categorie_id') %>% # join matching values
  inner_join(locatie_festival, by='festival_id') %>% # join matching values
  inner_join(locatie, by='locatie_id') %>% # join matching values
  group_by(year(datum.x)) %>% # group by year
  filter(genre=='Pop') %>% # filter on pop
  count(genre) # count genres
```






