Awaken the inner cartographer

# Awaken the inner cartographer

### Lecture 4

## Find me

[__@ayushbipinpatel__](https://twitter.com/ayushbipinpatel) <img src="data:image/svg+xml;base64,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" width=5%> 
 
[__@AyushBipinPatel__](https://github.com/AyushBipinPatel) <img src="data:image/svg+xml;base64,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" width=5%>
 
 
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[__ayush.ap58@gmail.com__](ayush.ap58@gmail.com)<img src="data:image/svg+xml;base64,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" width=5%>

---

# About You

Pre-requisite for this lecture.
 
 
 
--
You know __how to create an object__
 
 
 
--
You know __basics of {dplyr}__
 
 
 
--
You know __basics of {ggplot2}__
 
 
 
--
You know __how to use the %>% operator__

---

# Pre-workshop set-up

Copy the following command in your script and run:
> install.packages("sf")
 
> install.packages("geojsonsf")
 
> library(sf)
 
> library(geojsonsf)
 
> library(dplyr)
 
> library(ggplot2)

_Source of shape file : covid19india_

> geojson_sf("https://raw.githubusercontent.com/AyushBipinPatel/CSD-Workshop-for-Programming-in-R/main/india-districts-2019-734.geojson") -> ind_shp
 
---
class: left,middle

###  What will you be able to create by the end of this class

]

![](lecture4_files/figure-html/sil_ex2-1.png)

]

---
class: left, middle

# Process of creating a map

--
_Get Shape file_ 
A shape file is a data object that contains information for boundaries of a place or region.
 
 
 
--
_Merge Data with shape file using left_join()_
 
 
 
--
_Plot using ggplot2 and geom_sf()_

---
class: left, top

# Step1: Merging data

```r
tibble(
  emp_id = c(111,222,333),
  emp_name = c("Raj", "Simran", "Bauji"),
  emp_salary = c(5000,5000,500000)
) -> obj_1

obj_1
```

```
## # A tibble: 3 x 3
## emp_id emp_name emp_salary
## <dbl> <chr> <dbl>
## 1 111 Raj 5000
## 2 222 Simran 5000
## 3 333 Bauji 500000
```

] 
.panel[.panel-name[DATA2]

```r
tibble(
  emp_id = c(111,222,333),
  emp_name = c("Raj", "Simran", "Bauji"),
  emp_appraisal = c(0.50,.50,0.00)
) -> obj_2

obj_2
```

```
## # A tibble: 3 x 3
## emp_id emp_name emp_appraisal
## <dbl> <chr> <dbl>
## 1 111 Raj 0.5
## 2 222 Simran 0.5
## 3 333 Bauji 0
```

]
.panel[.panel-name[CODE]

```r
left_join(obj_1, obj_2,
 by = c("emp_id" = "emp_id")) ->out_obj
```
]
.panel[.panel-name[MERGED DATA]

```r
out_obj
```

```
## # A tibble: 3 x 5
## emp_id emp_name.x emp_salary emp_name.y emp_appraisal
## <dbl> <chr> <dbl> <chr> <dbl>
## 1 111 Raj 5000 Raj 0.5
## 2 222 Simran 5000 Simran 0.5
## 3 333 Bauji 500000 Bauji 0
```

]
]

---

# How to plot a shape file

```r
ggplot(ind_shp)+
  geom_sf()
```

![](lecture4_files/figure-html/basic_plot-1.png)

---
class: left, top

```r
# use merged data
*ggplot(merged_data)
```
]
 
.panel2-show_fill_plt-auto[
![](lecture4_files/figure-html/show_fill_plt_auto_01_output-1.png)
]

---
count: false
 
Mapping a variable to the region
.panel1-show_fill_plt-auto[

```r
# use merged data
ggplot(merged_data)+
* geom_sf(aes(fill = silly_ex1))
```
]
 
.panel2-show_fill_plt-auto[
![](lecture4_files/figure-html/show_fill_plt_auto_02_output-1.png)
]

---
count: false
 
Mapping a variable to the region
.panel1-show_fill_plt-auto[

```r
# use merged data
ggplot(merged_data)+
 geom_sf(aes(fill = silly_ex1))+
* scale_fill_gradient(low = "#9ba746" ,
* high = "#e37400")
```
]
 
.panel2-show_fill_plt-auto[
![](lecture4_files/figure-html/show_fill_plt_auto_03_output-1.png)
]

---
count: false
 
Mapping a variable to the region
.panel1-show_fill_plt-auto[

```r
# use merged data
ggplot(merged_data)+
 geom_sf(aes(fill = silly_ex1))+
 scale_fill_gradient(low = "#9ba746" ,
 high = "#e37400")+
* theme(
* panel.background = element_rect(
* fill = "#ffffff"),
* panel.grid = element_blank(),
* axis.title = element_blank(),
* axis.line = element_blank(),
* axis.ticks = element_blank(),
* axis.text = element_blank(),
* legend.position = "bottom"
* )
```
]
 
.panel2-show_fill_plt-auto[
![](lecture4_files/figure-html/show_fill_plt_auto_04_output-1.png)
]

---

# Your Turn

Run the following code:

> readr::read_csv(https://api.covid19india.org/csv/latest/district_wise.csv"") -> ind_covid_data

_data source: covid19india_

```

ind_shp %>% 
  mutate(
   match_key = str_c("st_nm", "district")
  ) -> ind_shp
  
ind_covid_data  %>% 
  mutate(
   match_key = str_c("State", "District")
  ) -> ind_coid_data

```

Merge the data sets and create the Map of your choice.

---
class: inverse,center, middle

# Thank You