#R GA$GETDATA DIMENSIONS FULL#

The 1вЂі thickness of the steel was measured in diminishing fractions such as 1/14вЂі thick, 1/16вЂі thick, 1/ 20вЂі thick, and so on.

Sheet metal thickness gauges for steel are based on a weight of 41.82 pounds per square foot per inch of thickness.Д«eside this, which is thicker 20 or 22 gauge?ДЇew people know why the thickness of steel diminishes as the gauge increases (ie: 16 gauge steel is thicker than 20 gauge steel).

#R GA$GETDATA DIMENSIONS FULL#

Across most reports, a full list of dimensions can be seen by clicking on вЂOtherвЂ™ in the Primary Dimension menu and scrolling through the drop-down option. As the gauge number increases, the material thickness decreases. Each GA report comes with a pre-selected primary dimension that gives high-level insight into how the dimension performs in relation to a set of metrics. Metal Thickness conversion chart Conventional GaugeДЄdditionally, what is gauge thickness? A sheet metal gauge (sometimes spelled 'gage') indicates the standard thickness of sheet metal for a specific material. Regarding this, what is 20 gauge in mm thickness?

When I pull the data via R, I am retrieving the same number of rows as in the custom report in GA, but when I am aggregating it, there are huge differences, when it comes to users, avgSessionDuration, bounceRate and transactionsPerSession.Approximate thickness in fractions of an inchДЄpproximate thickness in decimal parts of an inch Standard gauge for sheet and plate iron and steel Number of gauge Approximate thickness in fractions of an inch Approximate thickness in decimal parts of an inch 18 1/20. On the other hand, when I am adding the PagePath dimension to my custom Report, I get the same results as for the single dimension report only in the header aggregation. Keyways and feather keyways (dimensions GA, GC, F and FA) are made in compliance with. This chart type is usually used to illustrate key business indicators. Gauge charts, known as speedometer charts as well. The bar shows the target value, and the shading represents the progress toward that goal. This is confusing me on the one hand, because if I am adding the values manually, I am getting 12.654 in R and GA. The shaft extensions specified in the dimension tables (DIN 748). A radial gauge chart has a circular arc, which displays a single value to estimate progress toward a goal. However, for the users ('Nutzer'), there is still a difference, when it comes to how GA presents data in rows (adding up to 12.654 as in my query aggregation) and data in the header aggregation (11.465).

Further details are provided in the papers Scrucca (2013) and Scrucca (2017). It was written in R Markdown, using the knitr package for production. This document gives a quick tour of GA (version 3.2.2) functionalities. Comparing the report with only the date dimension did show, that there might be mainly rounding differences, causing the confusion. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach. You where right about comparing with a custom report, as it makes things a lot clearer. Use this to point to a folder to store the cache files, and the cache will then be available inbetween R sessions. These then need to be wrapped in filterclausega4 function, which lets you specify the combination rules (AND or OR). Filters need to be built up from the metfilter and dimfilter R objects. TransactionRevenue = sum(transactionRevenue),ДЄvgSessionDuration = mean(avgSessionDuration),ДЄlso for example the number of users for this time span per GA interface is 11.465 and the bounce rate is 46.94 and so on, while the number of new users is right and so on. By default this is within the RAM of the same R session so will reset when you restart R, but if you want you can set this to save the cache to disk using the gacachecall() function. Note these are different from account filters, which you can manipulate using the management API using the gafilter family of functions. TransactionsPerSession = mean(transactionsPerSession),

R ga$getdata dimensions