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Rapport.Rmd
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Rapport.Rmd
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---
title: "Cuisine niçoise"
output:
word_document: default
pdf_document: default
html_document: default
---
```{r include = FALSE}
library("viridis")
library("igraph")
library("tm")
library("SnowballC")
library("wordcloud")
library("RColorBrewer")
library("RNeo4j")
library("ggplot2")
library("tagcloud")
library("igraph")
```
## Histogramme des ingrédients
```{r}
neo4j = startGraph("http://demo:demo@localhost:7474/db/data/")
query = "
MATCH (n)-[r:INGREDIENT_DE]->(s:Recette)
WITH n as Ingredient, count(r) as nombre
RETURN Ingredient.nom , nombre
ORDER BY nombre DESC
LIMIT 20
"
stats = cypher(neo4j, query)
ggplot(stats, aes(x = reorder(Ingredient.nom, nombre), y = nombre)) +
geom_bar(stat = "identity", fill = "darkblue") +
coord_flip() +
labs(x = "Ingrédient",
y = "Nombre",
title = "Fréq. d'utilisation des ingrédients") +
theme(axis.text = element_text(size = 12, color = "black"),
axis.title = element_text(size = 14, color = "black"),
plot.title = element_text(size = 16, color = "black"))
```
------
## Tag cloud des ingrédients
```{r}
# liste des ingrédients de toutes les recettes
query = "
MATCH (n)-[r:INGREDIENT_DE]->(s:Recette)
WITH n as Ingredient, count(r) as nombre
RETURN Ingredient.nom , nombre
ORDER BY nombre DESC
LIMIT 100
"
stats = cypher(neo4j, query)
set.seed(1234)
wordcloud(words = stats$Ingredient, freq = stats$nombre, min.freq = 1,
max.words=200, random.order=FALSE, rot.per=0.35,
colors=brewer.pal(8, "Dark2"))
```
## Tag cloud des légumes
```{r}
query = "
MATCH (n:Ingredient)-[r]->(m:Recette)
where (n)-[:EST_DE_FAMILLE]-({ nom: 'Légume' })
with n , count(*) as count
order by count desc
return n.nom as Ingredient, count as nombre
"
stats = cypher(neo4j, query)
set.seed(1234)
wordcloud(words = stats$Ingredient, freq = stats$nombre, min.freq = 1,
max.words=50, random.order=FALSE, rot.per=0.35,
colors=brewer.pal(8, "Dark2"))
```
------
## Catégories alimentaires
```{r}
query = "
MATCH (n:Ingredient)-[r]->(m:Recette)
//where (n)-[:EST_DE_FAMILLE]-({ nom: 'Légume' })
with n , count(*) as count
order by count desc
match (n)-[:EST_DE_FAMILLE]->(c:Categorie_Alimentaire)
with c, count(*) as count
return c.nom as categorie, count as nombre
order by nombre desc
"
stats = cypher(neo4j, query)
set.seed(1234)
wordcloud(words = stats$categorie, freq = stats$nombre, min.freq = 1,
max.words=20, random.order=FALSE, rot.per=0.35,
colors=brewer.pal(8, "Dark2"))
```
## Heatmap des ingrdients
```{r}
query = "
MATCH (n:Ingredient)-[r:INGREDIENT_DE]->(m:Recette)<-[s:INGREDIENT_DE]-(o:Ingredient)
WITH n as i1, o as i2, count(r) as nombre
return i1.nom as nom1, i2.nom as nom2, nombre
order by nombre desc
limit 150
"
df_heatmap = cypher(neo4j, query)
ggplot(df_heatmap, aes(nom1, nom2 )) +
geom_tile(aes(fill = nombre), color = "white") +
geom_text(aes(nom1, nom2, label = nombre), color = "black", size = 2) +
scale_fill_gradient(low = "white", high = "steelblue") +
ylab("Ingrédient ") +
xlab("Ingrédient") +
theme(legend.title = element_text(size = 10),
legend.text = element_text(size = 12),
plot.title = element_text(size=16),
axis.title=element_text(size=7,face="bold"),
axis.text.x = element_text(angle = 90, hjust = 1)) +
labs(fill = "Nb occ.")
```
## Exemple de graphe simple
```{r}
query = "
MATCH (n:Ingredient)-[r:INGREDIENT_DE]->(m:Recette)<-[s:INGREDIENT_DE]-(o:Ingredient)
WITH n as i1, o as i2, ceil(count(r)/15) as nombre
return i1.nom as nom1, i2.nom as nom2, nombre
order by nombre desc
limit 100
"
graphe = cypher(neo4j, query)
relations <- graphe
g <- graph.data.frame(relations, directed=FALSE)
plot(g, edge.width=E(g)$nombre)
```