TechQA.

Summary of multiple columns

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Need help with the summarise and group function on the dataset below

The goal is to get a sum of all non blanks against the column with header "name"

Sample of data using dput below

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")

The code i have tried

`Dropoff_II %>% group_by(Name) %>%`
summarise_at(vars(NPS:Verb),list(count=~sum(!is.na(.x))))`

The summarized output (sum) does not match the actual numbers, the formula is unable to produce the actual sum of rows for the given conditions

A crude sample of the output i'd like is illustrated below with only two columns, (nps count and effort count) (total 59 columns given the distribution of data)

Name nps count effort count
CICS_TEL_6_PPJan Feb2020 xxx xxx
J_FTC_RTL_PPUpdated JanFeb2020 xxx xxx

PS: OP had some typos, apologies!

Help appreciated guys

r dplyr grouping group-summaries
Original Q&A
1

There are 1 answers

11
masher On

I think this gives you the result you're looking for.

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>

Created on 2021-01-25 by the reprex package (v0.3.0)

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