---
title: "Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r setup, include=FALSE}
library(tidyverse)
library(p8105.datasets)
library(plotly)
library(flexdashboard)
```
```{r}
data(ny_noaa)
ny_noaa =
ny_noaa %>%
filter(!is.na(prcp) & !is.na(snow) &
!is.na(snwd) & !is.na(tmax) & !is.na(tmin)) %>%
filter(date > as.Date('2010-09-01'))
```
Column {data-width=600}
-----------------------------------------------------------------------
### Chart A
```{r}
ny_noaa %>%
mutate(
text_label = str_c("Date: ", date, "\nSnow depth (mm): ", snwd)
) %>%
plot_ly(
x = ~prcp, y = ~snow, color = ~snwd, text = ~text_label,
type = "scatter", mode = "markers", alpha = 0.5
) %>%
layout(
title = "Trends Between Precipitation and Snowfall from Sept 2010 to Dec 2010",
xaxis = list(title = "Precipitation (tenths of mm)"),
yaxis = list(title = " Snowfall (mm)"),
colorbar = list(title = "Snow Depth (mm)")
)
```
Column {data-width=400}
-----------------------------------------------------------------------
### Chart B
```{r}
ny_noaa %>%
mutate(
month = format(date, "%m")
) %>%
plot_ly(
x = ~month, y = ~prcp,
type = "box", color = "viridis"
) %>%
layout(
title = "Average Precipitation by Month from Sept 2010 to Dec 2010",
xaxis = list(title = "Month"),
yaxis = list(title = "Precipitation (tenths of mm)")
)
```
### Chart C
```{r}
ny_noaa_summary <- ny_noaa %>%
mutate(
month = format(date, "%m"),
tmax = as.numeric(tmax),
tmin = as.numeric(tmin),
tep_range = tmax - tmin
)
ny_noaa_summary = ny_noaa_summary %>%
group_by(month) %>%
summarize(avg_tep_range = mean(tep_range, na.rm = TRUE))
ny_noaa_summary %>%
plot_ly(
x = ~month, y = ~avg_tep_range,
type = "bar"
) %>%
layout(
title = "Average Temperature Range by Month from Sept 2010 to Dec 2010",
xaxis = list(title = "Month"),
yaxis = list(title = "Average Temperature Range")
)
```