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# devtools::install_github("CamembR/tdvhackaviz2020")
library(tidyverse)

## ── Attaching packages ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.0 ──

## ✓ ggplot2 3.2.1     ✓ purrr   0.3.3
## ✓ tibble  2.1.3     ✓ dplyr   0.8.4
## ✓ tidyr   1.0.2     ✓ stringr 1.4.0
## ✓ readr   1.3.1     ✓ forcats 0.4.0

## ── Conflicts ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(tdvhackaviz2020)
library(skimr)
library(lubridate)

## 
## Attaching package: 'lubridate'

## The following object is masked from 'package:base':
## 
##     date

Nuitees

Heatmap of “nuitees” per week.

5 deps have the most nights: 34, 66, 31, 30, 11
Seasonality is clear with empty vs full periods

tdvhackaviz2020::nuitees_td %>% 
    mutate(date = week(date)) %>%
    ggplot(aes(date, y=fct_reorder(dep,nuitees), fill=nuitees)) + 
    geom_tile() +
    scale_fill_gradient(low="white", high="navy") +
    theme_minimal()

# Capacites

tdvhackaviz2020::capacites_sem_td %>%
    ggplot(aes(sem, fct_reorder(dep,capa), fill=capa)) + 
    geom_tile() +
    scale_fill_gradient(low="white", high="blue")+
    theme_minimal()

skim(tdvhackaviz2020::capacites_td)

Data summary
Name	tdvhackaviz2020::capacite…
Number of rows	13
Number of columns	6
_______________________
Column type frequency:
factor	1
numeric	5
________________________
Group variables	None

Variable type: factor

skim_variable	n_missing	complete_rate	ordered	n_unique	top_counts
dep	0	1	FALSE	13	09: 1, 11: 1, 12: 1, 30: 1

Variable type: numeric

skim_variable	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
pop	1	451356.92	402401.71	75949	189824	278217	479754	1376737	▇▃▁▁▂
hbgt_collectif	1	12131.54	11750.86	0	4288	6727	16248	36347	▇▂▁▁▂
hbgt_locatif	1	15882.77	9877.90	2972	10569	13392	21106	34328	▆▇▇▁▃
hbgt_plein_air	1	35434.69	39402.97	4383	8886	18796	35451	125262	▇▂▁▁▂
hbgt_hotel	1	8377.38	7749.84	118	2536	6912	10231	23963	▇▂▂▁▂

Exploration

Nuitees