r aggregate value by country and department
I have a large dataset with 200 countries, departments and costs.
70 000 rows - (countries and departments are more than 1 time in dataset)
My target is to get a data frame looking the following:
target output
r aggregation
add a comment |
I have a large dataset with 200 countries, departments and costs.
70 000 rows - (countries and departments are more than 1 time in dataset)
My target is to get a data frame looking the following:
target output
r aggregation
please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
1
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24
add a comment |
I have a large dataset with 200 countries, departments and costs.
70 000 rows - (countries and departments are more than 1 time in dataset)
My target is to get a data frame looking the following:
target output
r aggregation
I have a large dataset with 200 countries, departments and costs.
70 000 rows - (countries and departments are more than 1 time in dataset)
My target is to get a data frame looking the following:
target output
r aggregation
r aggregation
edited Nov 23 '18 at 20:14
Cashmaker777
asked Nov 23 '18 at 20:08
Cashmaker777Cashmaker777
13
13
please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
1
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24
add a comment |
please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
1
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24
please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
1
1
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24
add a comment |
1 Answer
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oldest
votes
Assuming your data is in a data frame called df
...
library(dplyr)
library(tidyr)
df %>%
group_by(country, department) %>%
summarise(costs = sum(costs)) %>%
spread(department, costs)
Read more about dplyr, tidyr and the tidyverse, they will make your life a lot easier.
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Assuming your data is in a data frame called df
...
library(dplyr)
library(tidyr)
df %>%
group_by(country, department) %>%
summarise(costs = sum(costs)) %>%
spread(department, costs)
Read more about dplyr, tidyr and the tidyverse, they will make your life a lot easier.
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
add a comment |
Assuming your data is in a data frame called df
...
library(dplyr)
library(tidyr)
df %>%
group_by(country, department) %>%
summarise(costs = sum(costs)) %>%
spread(department, costs)
Read more about dplyr, tidyr and the tidyverse, they will make your life a lot easier.
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
add a comment |
Assuming your data is in a data frame called df
...
library(dplyr)
library(tidyr)
df %>%
group_by(country, department) %>%
summarise(costs = sum(costs)) %>%
spread(department, costs)
Read more about dplyr, tidyr and the tidyverse, they will make your life a lot easier.
Assuming your data is in a data frame called df
...
library(dplyr)
library(tidyr)
df %>%
group_by(country, department) %>%
summarise(costs = sum(costs)) %>%
spread(department, costs)
Read more about dplyr, tidyr and the tidyverse, they will make your life a lot easier.
edited Nov 23 '18 at 20:30
answered Nov 23 '18 at 20:24
slacklineslackline
98721132
98721132
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
add a comment |
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
THANKS! That is exactly what I was looking for.
– Cashmaker777
Nov 23 '18 at 20:27
add a comment |
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please provide input and expected output in text, helps to copy paste
– Vivek Kalyanarangan
Nov 23 '18 at 20:20
1
To expand on @VivekKalyanarangan point a little please read How do I ask a good question? - Help Center - Stack Overflow and How to create a Minimal, Complete, and Verifiable example - Help Center - Stack Overflow.
– slackline
Nov 23 '18 at 20:24