多列匯總
[英]Summary of multiple columns
問題描述
在下面的數據集上匯總和分組 function 需要幫助
目標是使用 header “名稱” 獲得所有非空白列的總和
使用以下 dput 的數據示例
structure(list(Name = c("CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019",
"CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019",
"CICS_TEL_6_PP Nov2019"), ResponseID = c("R_3m9rPOhCDF9NOUy",
"R_30pk7WWmuFJLNZ9", "R_2UXISAuayZqcSS6", "R_3szvWUgiCdhl6y2",
"R_1DGrZ7gfZ8vkljb", "R_2usuFssDJ7wxJUv"), StartDate = c("01-11-2019 06:08",
"01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08",
"01-11-2019 06:08"), EndDate = c("01-11-2019 06:13", "01-11-2019 06:10",
"01-11-2019 06:51", "01-11-2019 07:14", "02-11-2019 14:54", "01-11-2019 06:29"
), Month = c("Nov", "Nov", "Nov", "Nov", "Nov", "Nov"), Year = c(2019L,
2019L, 2019L, 2019L, 2019L, 2019L), Mnth.Yr = c("Nov-19", "Nov-19",
"Nov-19", "Nov-19", "Nov-19", "Nov-19"), NPS = c(2L, 10L, 10L,
2L, 10L, 10L), Effort = c(5L, 10L, 10L, 5L, 9L, 10L), Reason.did.you.rate.your.support.experience.as = c("",
"", "", "", "", ""), I.feel.that.Three.is.putting.in.a.significant.effort.to.make.my.experience.with.them.a.positive.one. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), feel.that.I.need.to.put.in.more.effort.than.I.would.expect.when.I.deal.with.Three. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), How.satisfied.were.you.will.your.recent.experiences..Network.Performance = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), How.satisfied.were.youCustomer.Care = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), How.satisfied.Website = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), How.satisfied..Store = c(NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_), How.satisfied.were.you.N.A = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), ffers.good.value.for.money = c(NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_), Is.a.brand.I.can.trust = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Understands.my.needs.as.a.customer = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Rewards.customers.for.their.loyalty = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Meets.my.expectations = c(NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_), Three.makes.a.significant.effort.to.make = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), My.monthly.mobile.costs.meets.my.expectations. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), My.experience.with.Three.s.network.meets.my.everyday.needs. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), What.is.your.preferred.channel.to.use.if.you.need.support.or.assistance. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Do.you.find.it.easy.to.access.support.when.you.need.help. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Three.s.products.and.services.enhance.my.life. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Are.you.aware.of.3Plus.rewards. = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Three.is.a.brand.I.trust. = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), We.would.like.to.hear.your.thoughts..is.there.anything.else.you.would.like.us.to.focus.on. = c("",
"", "", "", "", ""), What.steps.can.we.take.to.build.your.trust.with.us. = c("",
"", "", "", "", ""), I.need.to.put.in.more.effort.than.I.would.expe = c("",
"", "", "", "", ""), How.satisfied.were.you.with.your.recent.Network.experience = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Three.offers.good.value.for.money = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Three.is.a.brand.I.can.trust = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Three.understands.my.needs.as.a.customer = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Three.Rewards.customers.for.their.loyalty = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Three.meets.my.expectations = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), what.you.feel.could.be.done.better.to.improve.your.overall.exper = c("",
"", "", "", "", ""), Ability.to.make.and.receive.calls.and.texts = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), experience.on.data.speeds.with.your.data.connection... = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), On.a.scale.of.1.to.5.how.would.you.rate.your.coverage.in.your.home = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Is.this.related.to.indoor.outdoor.coverage = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Thinking.about.your.recent.experience.usage.of.the.Three.Mobile.Network.over.the.last.7.days = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Usage.of.the.Three.Mobile.Network.over.the.last.7.days..hav... = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), improve.your.overall.network.experience.over... = c("", "",
"", "", "", ""), reason.did.you.rate.your.network.experience.as = c("",
"", "", "", "", ""), To.what.extent.do.you.trust.the.Three.Network = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), easy.or.difficult.was.it.to.purchase.in.store = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Was.the.Sales.Agent.Welcoming = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Sales.Agent.take.the.time.to.understand.your.needs.and.tailor.the.offer.to.suit = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Was.the.Sales..Agent.helpful. = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Did.the.Sales.Agent.inform.you.of.the.3Plus.Programme = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Did.the.Sales.Agent.say.Thank.You = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), rate.your.recent.purchase.experience = c("",
"", "", "", "", ""), Sales.Agent.could.have.done.better.to.improve = c("",
"", "", "", "", ""), Three.may.call.you.to.discuss.your.feedback = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), person.was.knowledgeable = c(NA, NA, 5L, NA, NA, 5L), complete.confidence.in.the.person = c(NA,
NA, NA, 4L, NA, NA), Person.listened.and.understood = c(5L, 5L,
NA, NA, 5L, NA), FCR = c(1L, 1L, 1L, 1L, 1L, 1L), Three.is.good.at.fixing.issues = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), Information..required.on.the.My3.App = c(NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_), Verb = c("You obviously have no loyalty dept",
"Nothing", "He couldn't have done any more very polite very helpful and a great Person for ur company ??",
"Nothing cause 3 take my money and fee me for no reason", "",
"There is nothing I can say that it needed to improve I was very happy with the way my query was handled in a very professional manner"
)), row.names = c(NA, 6L), class = "data.frame")
我試過的代碼
`Dropoff_II %>% group_by(Name) %>%`
summarise_at(vars(NPS:Verb),list(count=~sum(!is.na(.x))))`
匯總的 output (sum) 與實際數字不匹配，公式無法生成給定條件的實際行總和
我想要的 output 的粗略樣本如下所示，只有兩列（nps 計數和努力計數）（鑒於數據分布，總共 59 列）
| 姓名 | nps 計數 | 努力計數 | |
|---|---|---|---|
| CICS_TEL_6_PP2020 年 2 月 | xxx | xxx | |
| J_FTC_RTL_PPUpdated JanFeb2020 | xxx | xxx |
PS：OP有錯別字，見諒！
幫助贊賞的家伙
1 個解決方案
解決方案1
0 2021-01-25 07:38:18
我認為這會給你你正在尋找的結果。
library(tidyverse)
data <-
structure(list(Name = c("CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019", "CICS_TEL_6_PP Nov2019"),
ResponseID = c("R_3m9rPOhCDF9NOUy", "R_30pk7WWmuFJLNZ9", "R_2UXISAuayZqcSS6", "R_3szvWUgiCdhl6y2","R_1DGrZ7gfZ8vkljb", "R_2usuFssDJ7wxJUv"),
StartDate = c("01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08", "01-11-2019 06:08"),
EndDate = c("01-11-2019 06:13", "01-11-2019 06:10", "01-11-2019 06:51", "01-11-2019 07:14", "02-11-2019 14:54", "01-11-2019 06:29"),
Month = c("Nov", "Nov", "Nov", "Nov", "Nov", "Nov"),
Year = c(2019L,2019L, 2019L, 2019L, 2019L, 2019L),
Mnth.Yr = c("Nov-19", "Nov-19","Nov-19", "Nov-19", "Nov-19", "Nov-19"),
NPS = c(2L, 10L, 10L, 2L, 10L, 10L),
Effort = c(5L, 10L, 10L, 5L, 9L, 10L),
Reason.did.you.rate.your.support.experience.as = c("", "", "", "", "", ""),
I.feel.that.Three.is.putting.in.a.significant.effort.to.make.my.experience.with.them.a.positive.one. = c(NA_integer_,NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
feel.that.I.need.to.put.in.more.effort.than.I.would.expect.when.I.deal.with.Three. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
How.satisfied.were.you.will.your.recent.experiences..Network.Performance = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
How.satisfied.were.youCustomer.Care = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
How.satisfied.Website = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
How.satisfied..Store = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
How.satisfied.were.you.N.A = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
ffers.good.value.for.money = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Is.a.brand.I.can.trust = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Understands.my.needs.as.a.customer = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Rewards.customers.for.their.loyalty = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Meets.my.expectations = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.makes.a.significant.effort.to.make = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
My.monthly.mobile.costs.meets.my.expectations. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
My.experience.with.Three.s.network.meets.my.everyday.needs. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
What.is.your.preferred.channel.to.use.if.you.need.support.or.assistance. = c(NA_integer_,NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Do.you.find.it.easy.to.access.support.when.you.need.help. = c(NA_integer_,NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.s.products.and.services.enhance.my.life. = c(NA_integer_,NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Are.you.aware.of.3Plus.rewards. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.is.a.brand.I.trust. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
We.would.like.to.hear.your.thoughts..is.there.anything.else.you.would.like.us.to.focus.on. = c("", "", "", "", "", ""),
What.steps.can.we.take.to.build.your.trust.with.us. = c("","", "", "", "", ""),
I.need.to.put.in.more.effort.than.I.would.expe = c("", "", "", "", "", ""),
How.satisfied.were.you.with.your.recent.Network.experience = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.offers.good.value.for.money = c(NA_integer_, NA_integer_,NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.is.a.brand.I.can.trust = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.understands.my.needs.as.a.customer = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.Rewards.customers.for.their.loyalty = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Three.meets.my.expectations = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
what.you.feel.could.be.done.better.to.improve.your.overall.exper = c("", "", "", "", "", ""),
Ability.to.make.and.receive.calls.and.texts = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
experience.on.data.speeds.with.your.data.connection... = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
On.a.scale.of.1.to.5.how.would.you.rate.your.coverage.in.your.home = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Is.this.related.to.indoor.outdoor.coverage = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Thinking.about.your.recent.experience.usage.of.the.Three.Mobile.Network.over.the.last.7.days = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Usage.of.the.Three.Mobile.Network.over.the.last.7.days..hav... = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
improve.your.overall.network.experience.over... = c("", "", "", "", "", ""),
reason.did.you.rate.your.network.experience.as = c("", "", "", "", "", ""),
To.what.extent.do.you.trust.the.Three.Network = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
easy.or.difficult.was.it.to.purchase.in.store = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Was.the.Sales.Agent.Welcoming = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Sales.Agent.take.the.time.to.understand.your.needs.and.tailor.the.offer.to.suit = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Was.the.Sales..Agent.helpful. = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Did.the.Sales.Agent.inform.you.of.the.3Plus.Programme = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Did.the.Sales.Agent.say.Thank.You = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
rate.your.recent.purchase.experience = c("", "", "", "", "", ""),
Sales.Agent.could.have.done.better.to.improve = c("", "", "", "", "", ""),
Three.may.call.you.to.discuss.your.feedback = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
person.was.knowledgeable = c(NA, NA, 5L, NA, NA, 5L),
complete.confidence.in.the.person = c(NA, NA, NA, 4L, NA, NA),
Person.listened.and.understood = c(5L, 5L, NA, NA, 5L, NA),
FCR = c(1L, 1L, 1L, 1L, 1L, 1L),
Three.is.good.at.fixing.issues = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Information..required.on.the.My3.App = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_),
Verb = c("You obviously have no loyalty dept", "Nothing", "He couldn't have done any more very polite very helpful and a great Person for ur company ??", "Nothing cause 3 take my money and fee me for no reason", "", "There is nothing I can say that it needed to improve I was very happy with the way my query was handled in a very professional manner")),
row.names = c(NA, 6L),
class = "data.frame")
#
#make the data a tibble to make viewing it easier in the consol
data <- data %>% as_tibble()
#select just a subset of columns to make debugging easier
df <- data %>% select(Name, StartDate, EndDate, NPS, Effort, Reason.did.you.rate.your.support.experience.as,I.feel.that.Three.is.putting.in.a.significant.effort.to.make.my.experience.with.them.a.positive.one., Verb)
#This one sums numeric data and counts character entries
df %>%
group_by(Name) %>%
summarise(across(where(is.numeric), sum), #if it is a numeric column, add it up
across(where(is.character), ~sum(!is.na(.))) #if it is a character column, count the non-NA values
)
#> `summarise()` ungrouping output (override with `.groups` argument)
#> # A tibble: 1 x 8
#> Name NPS Effort I.feel.that.Thre~ StartDate EndDate Reason.did.you.~ Verb
#> <chr> <int> <int> <int> <int> <int> <int> <int>
#> 1 CICS_~ 44 49 NA 6 6 6 6
#this on counts how many non-NA values there are
df %>%
group_by(Name) %>%
summarise(across(NPS:Verb, ~sum(!is.na(.))))
#> `summarise()` ungrouping output (override with `.groups` argument)
#> # A tibble: 1 x 6
#> Name NPS Effort Reason.did.you.rate.y~ I.feel.that.Three.is.putti~ Verb
#> <chr> <int> <int> <int> <int> <int>
#> 1 CICS_TE~ 6 6 6 0 6
#now with the entire dataset
data %>%
group_by(Name) %>%
summarise(across(NPS:Verb, ~sum(!is.na(.))))
#> `summarise()` ungrouping output (override with `.groups` argument)
#> # A tibble: 1 x 59
#> Name NPS Effort Reason.did.you.~ I.feel.that.Thr~ feel.that.I.nee~
#> <chr> <int> <int> <int> <int> <int>
#> 1 CICS~ 6 6 6 0 0
#> # ... with 53 more variables:
#> # How.satisfied.were.you.will.your.recent.experiences..Network.Performance <int>,
#> # How.satisfied.were.youCustomer.Care <int>, How.satisfied.Website <int>,
#> # How.satisfied..Store <int>, How.satisfied.were.you.N.A <int>,
#> # ffers.good.value.for.money <int>, Is.a.brand.I.can.trust <int>,
#> # Understands.my.needs.as.a.customer <int>,
#> # Rewards.customers.for.their.loyalty <int>, Meets.my.expectations <int>,
#> # Three.makes.a.significant.effort.to.make <int>,
#> # My.monthly.mobile.costs.meets.my.expectations. <int>,
#> # My.experience.with.Three.s.network.meets.my.everyday.needs. <int>,
#> # What.is.your.preferred.channel.to.use.if.you.need.support.or.assistance. <int>,
#> # Do.you.find.it.easy.to.access.support.when.you.need.help. <int>,
#> # Three.s.products.and.services.enhance.my.life. <int>,
#> # Are.you.aware.of.3Plus.rewards. <int>, Three.is.a.brand.I.trust. <int>,
#> # We.would.like.to.hear.your.thoughts..is.there.anything.else.you.would.like.us.to.focus.on. <int>,
#> # What.steps.can.we.take.to.build.your.trust.with.us. <int>,
#> # I.need.to.put.in.more.effort.than.I.would.expe <int>,
#> # How.satisfied.were.you.with.your.recent.Network.experience <int>,
#> # Three.offers.good.value.for.money <int>,
#> # Three.is.a.brand.I.can.trust <int>,
#> # Three.understands.my.needs.as.a.customer <int>,
#> # Three.Rewards.customers.for.their.loyalty <int>,
#> # Three.meets.my.expectations <int>,
#> # what.you.feel.could.be.done.better.to.improve.your.overall.exper <int>,
#> # Ability.to.make.and.receive.calls.and.texts <int>,
#> # experience.on.data.speeds.with.your.data.connection... <int>,
#> # On.a.scale.of.1.to.5.how.would.you.rate.your.coverage.in.your.home <int>,
#> # Is.this.related.to.indoor.outdoor.coverage <int>,
#> # Thinking.about.your.recent.experience.usage.of.the.Three.Mobile.Network.over.the.last.7.days <int>,
#> # Usage.of.the.Three.Mobile.Network.over.the.last.7.days..hav... <int>,
#> # improve.your.overall.network.experience.over... <int>,
#> # reason.did.you.rate.your.network.experience.as <int>,
#> # To.what.extent.do.you.trust.the.Three.Network <int>,
#> # easy.or.difficult.was.it.to.purchase.in.store <int>,
#> # Was.the.Sales.Agent.Welcoming <int>,
#> # Sales.Agent.take.the.time.to.understand.your.needs.and.tailor.the.offer.to.suit <int>,
#> # Was.the.Sales..Agent.helpful. <int>,
#> # Did.the.Sales.Agent.inform.you.of.the.3Plus.Programme <int>,
#> # Did.the.Sales.Agent.say.Thank.You <int>,
#> # rate.your.recent.purchase.experience <int>,
#> # Sales.Agent.could.have.done.better.to.improve <int>,
#> # Three.may.call.you.to.discuss.your.feedback <int>,
#> # person.was.knowledgeable <int>, complete.confidence.in.the.person <int>,
#> # Person.listened.and.understood <int>, FCR <int>,
#> # Three.is.good.at.fixing.issues <int>,
#> # Information..required.on.the.My3.App <int>, Verb <int>
由代表 package (v0.3.0) 於 2021 年 1 月 25 日創建
摘要統計信息按對應於它們的特定列上的多個列分組
[英]Summary statistics grouped by multiple columns on specific columns corresponding to them
多個變量的匯總統計數據，統計數據作為行，變量作為列？
[英]Summary statistics for multiple variables with statistics as rows and variables as columns?
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