tests/testthat/_snaps/webapp.md
In MarkEdmondson1234/googleAnalyticsR_public: Google Analytics API into R
Basic fetch
# A tibble: 100 x 3
date city activeUsers
<date> <chr> <dbl>
1 2022-04-21 (not set) 186
2 2022-04-05 (not set) 174
3 2022-03-31 (not set) 173
4 2022-04-07 (not set) 173
5 2022-04-25 (not set) 171
6 2022-04-26 (not set) 170
7 2022-04-06 (not set) 166
8 2022-04-19 (not set) 163
9 2022-04-13 (not set) 160
10 2022-04-11 (not set) 150
# ... with 90 more rows
Pagination
Code
all_results
Output
# A tibble: 1,276 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 1,266 more rows
Code
all_results_paged
Output
# A tibble: 1,276 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 1,266 more rows
Code
top_510
Output
# A tibble: 510 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 500 more rows
Code
top510_paged500
Output
# A tibble: 510 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 500 more rows
Raw Data fetch
# A tibble: 7 x 2
date sessions
<date> <dbl>
1 2021-01-01 0
2 2021-01-02 0
3 2021-01-03 0
4 2021-01-04 0
5 2021-01-05 0
6 2021-01-06 0
7 2021-01-07 0
# A tibble: 7 x 2
date sessions
<date> <dbl>
1 2021-01-01 0
2 2021-01-02 0
3 2021-01-03 0
4 2021-01-04 0
5 2021-01-05 0
6 2021-01-06 0
7 2021-01-07 0
Filter objects
--| city
----stringFilter:
value: Copenhagen | matchType: EXACT | caseSensitive: FALSE
--| city
----inListFilter:
values: Copenhagen London
caseSensitive: TRUE
--| activeUsers
----numericFilter:
operation: GREATER_THAN | value: 1
--| activeUsers
----betweenFilter:
from: 1 to: 3
Custom data
# A tibble: 100 x 6
date city dayOfWeek activeUsers sessions sessionsPerUser
<date> <chr> <chr> <dbl> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210 1.13
2 2022-04-05 (not set) 2 174 193 1.11
3 2022-03-31 (not set) 4 173 196 1.13
4 2022-04-07 (not set) 4 173 192 1.11
5 2022-04-25 (not set) 1 171 206 1.20
6 2022-04-26 (not set) 2 170 191 1.12
7 2022-04-06 (not set) 3 166 187 1.13
8 2022-04-19 (not set) 2 163 184 1.13
9 2022-04-13 (not set) 3 160 176 1.1
10 2022-04-11 (not set) 1 150 173 1.15
# ... with 90 more rows
# A tibble: 100 x 6
date city dayOfWeek cdow activeUsers sessions
<date> <chr> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 (not set)/4 186 210
2 2022-04-05 (not set) 2 (not set)/2 174 193
3 2022-03-31 (not set) 4 (not set)/4 173 196
4 2022-04-07 (not set) 4 (not set)/4 173 192
5 2022-04-25 (not set) 1 (not set)/1 171 206
6 2022-04-26 (not set) 2 (not set)/2 170 191
7 2022-04-06 (not set) 3 (not set)/3 166 187
8 2022-04-19 (not set) 2 (not set)/2 163 184
9 2022-04-13 (not set) 3 (not set)/3 160 176
10 2022-04-11 (not set) 1 (not set)/1 150 173
# ... with 90 more rows
Ordering DSL objects
[[1]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[2]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[2]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[3]]
==GA4 OrderBy==
Metric: activeUsers
Descending: FALSE
[[1]]
==GA4 OrderBy==
Dimension: dayOfWeek
OrderType: NUMERIC
Descending: FALSE
[[1]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[2]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
Order API fetch
# A tibble: 100 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-25 (not set) 1 171 206
3 2022-03-31 (not set) 4 173 196
4 2022-04-05 (not set) 2 174 193
5 2022-04-07 (not set) 4 173 192
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 90 more rows
Filter fetch types
# A tibble: 1 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-04-03 Copenhagen 0 1
# A tibble: 23 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-03-31 London 4 6
2 2022-04-05 London 2 6
3 2022-04-06 London 3 6
4 2022-04-25 London 1 6
5 2022-04-13 London 3 4
6 2022-04-22 London 5 4
7 2022-04-20 London 3 3
8 2022-04-21 London 4 3
9 2022-04-27 London 3 3
10 2022-04-04 London 1 2
# ... with 13 more rows
# A tibble: 64 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-04-21 (not set) 4 186
2 2022-04-05 (not set) 2 174
3 2022-03-31 (not set) 4 173
4 2022-04-07 (not set) 4 173
5 2022-04-25 (not set) 1 171
6 2022-04-26 (not set) 2 170
7 2022-04-06 (not set) 3 166
8 2022-04-19 (not set) 2 163
9 2022-04-13 (not set) 3 160
10 2022-04-11 (not set) 1 150
# ... with 54 more rows
# A tibble: 100 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-03-31 London 4 6
2 2022-04-04 Melbourne 1 6
3 2022-04-05 London 2 6
4 2022-04-06 London 3 6
5 2022-04-25 London 1 6
6 2022-03-31 Sao Paulo 4 5
7 2022-04-15 Rochester 5 5
8 2022-03-31 Istanbul 4 4
9 2022-04-01 Lugano 5 4
10 2022-04-05 Singapore 2 4
# ... with 90 more rows
MarkEdmondson1234/googleAnalyticsR_public documentation built on Dec. 10, 2023, 2:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Basic fetch
# A tibble: 100 x 3
date city activeUsers
<date> <chr> <dbl>
1 2022-04-21 (not set) 186
2 2022-04-05 (not set) 174
3 2022-03-31 (not set) 173
4 2022-04-07 (not set) 173
5 2022-04-25 (not set) 171
6 2022-04-26 (not set) 170
7 2022-04-06 (not set) 166
8 2022-04-19 (not set) 163
9 2022-04-13 (not set) 160
10 2022-04-11 (not set) 150
# ... with 90 more rows
Pagination
Code
all_results
Output
# A tibble: 1,276 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 1,266 more rows
Code
all_results_paged
Output
# A tibble: 1,276 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 1,266 more rows
Code
top_510
Output
# A tibble: 510 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 500 more rows
Code
top510_paged500
Output
# A tibble: 510 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-05 (not set) 2 174 193
3 2022-03-31 (not set) 4 173 196
4 2022-04-07 (not set) 4 173 192
5 2022-04-25 (not set) 1 171 206
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 500 more rows
Raw Data fetch
# A tibble: 7 x 2
date sessions
<date> <dbl>
1 2021-01-01 0
2 2021-01-02 0
3 2021-01-03 0
4 2021-01-04 0
5 2021-01-05 0
6 2021-01-06 0
7 2021-01-07 0
# A tibble: 7 x 2
date sessions
<date> <dbl>
1 2021-01-01 0
2 2021-01-02 0
3 2021-01-03 0
4 2021-01-04 0
5 2021-01-05 0
6 2021-01-06 0
7 2021-01-07 0
Filter objects
--| city
----stringFilter:
value: Copenhagen | matchType: EXACT | caseSensitive: FALSE
--| city
----inListFilter:
values: Copenhagen London
caseSensitive: TRUE
--| activeUsers
----numericFilter:
operation: GREATER_THAN | value: 1
--| activeUsers
----betweenFilter:
from: 1 to: 3
Custom data
# A tibble: 100 x 6
date city dayOfWeek activeUsers sessions sessionsPerUser
<date> <chr> <chr> <dbl> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210 1.13
2 2022-04-05 (not set) 2 174 193 1.11
3 2022-03-31 (not set) 4 173 196 1.13
4 2022-04-07 (not set) 4 173 192 1.11
5 2022-04-25 (not set) 1 171 206 1.20
6 2022-04-26 (not set) 2 170 191 1.12
7 2022-04-06 (not set) 3 166 187 1.13
8 2022-04-19 (not set) 2 163 184 1.13
9 2022-04-13 (not set) 3 160 176 1.1
10 2022-04-11 (not set) 1 150 173 1.15
# ... with 90 more rows
# A tibble: 100 x 6
date city dayOfWeek cdow activeUsers sessions
<date> <chr> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 (not set)/4 186 210
2 2022-04-05 (not set) 2 (not set)/2 174 193
3 2022-03-31 (not set) 4 (not set)/4 173 196
4 2022-04-07 (not set) 4 (not set)/4 173 192
5 2022-04-25 (not set) 1 (not set)/1 171 206
6 2022-04-26 (not set) 2 (not set)/2 170 191
7 2022-04-06 (not set) 3 (not set)/3 166 187
8 2022-04-19 (not set) 2 (not set)/2 163 184
9 2022-04-13 (not set) 3 (not set)/3 160 176
10 2022-04-11 (not set) 1 (not set)/1 150 173
# ... with 90 more rows
Ordering DSL objects
[[1]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[2]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[1]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
[[2]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[3]]
==GA4 OrderBy==
Metric: activeUsers
Descending: FALSE
[[1]]
==GA4 OrderBy==
Dimension: dayOfWeek
OrderType: NUMERIC
Descending: FALSE
[[1]]
==GA4 OrderBy==
Metric: sessions
Descending: TRUE
[[2]]
==GA4 OrderBy==
Dimension: city
OrderType: ALPHANUMERIC
Descending: FALSE
Order API fetch
# A tibble: 100 x 5
date city dayOfWeek activeUsers sessions
<date> <chr> <chr> <dbl> <dbl>
1 2022-04-21 (not set) 4 186 210
2 2022-04-25 (not set) 1 171 206
3 2022-03-31 (not set) 4 173 196
4 2022-04-05 (not set) 2 174 193
5 2022-04-07 (not set) 4 173 192
6 2022-04-26 (not set) 2 170 191
7 2022-04-06 (not set) 3 166 187
8 2022-04-19 (not set) 2 163 184
9 2022-04-13 (not set) 3 160 176
10 2022-04-11 (not set) 1 150 173
# ... with 90 more rows
Filter fetch types
# A tibble: 1 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-04-03 Copenhagen 0 1
# A tibble: 23 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-03-31 London 4 6
2 2022-04-05 London 2 6
3 2022-04-06 London 3 6
4 2022-04-25 London 1 6
5 2022-04-13 London 3 4
6 2022-04-22 London 5 4
7 2022-04-20 London 3 3
8 2022-04-21 London 4 3
9 2022-04-27 London 3 3
10 2022-04-04 London 1 2
# ... with 13 more rows
# A tibble: 64 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-04-21 (not set) 4 186
2 2022-04-05 (not set) 2 174
3 2022-03-31 (not set) 4 173
4 2022-04-07 (not set) 4 173
5 2022-04-25 (not set) 1 171
6 2022-04-26 (not set) 2 170
7 2022-04-06 (not set) 3 166
8 2022-04-19 (not set) 2 163
9 2022-04-13 (not set) 3 160
10 2022-04-11 (not set) 1 150
# ... with 54 more rows
# A tibble: 100 x 4
date city dayOfWeek activeUsers
<date> <chr> <chr> <dbl>
1 2022-03-31 London 4 6
2 2022-04-04 Melbourne 1 6
3 2022-04-05 London 2 6
4 2022-04-06 London 3 6
5 2022-04-25 London 1 6
6 2022-03-31 Sao Paulo 4 5
7 2022-04-15 Rochester 5 5
8 2022-03-31 Istanbul 4 4
9 2022-04-01 Lugano 5 4
10 2022-04-05 Singapore 2 4
# ... with 90 more rows
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Browse R Packages
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