![]() It is designed to optimize the screen printing process and has an independent set of spot color separation. The Xerio Sep is one of the easiest, fastest, reliable, and best color separation software for screen printing found by GRAFCOAST. Furthermore, the developers also provide several other tools and software for screen printing. It converts RGB images to multi-channeled images for screen printing. The YRBGK color separation software is a plug-in for Photoshop and offers nearly all the features you need. Voilà.Boston based custom slide sandal maker has become $10 Million company using an online designer and unique growth marketing. It means also that any pre calculated or pre aggregated metric needs to be rebuilt with raw metrics after the split or needs the right aggregation.Īt last, let’s see how everything is configured inslide Looker Studio and allow us to do our nice chart, based on comma-separated values, becoming now a real list dimension. Crossing this selection, with the dimension above, duplicates the metric value for each single split value. We count pageviews only if the list contains enough values. PS: Unfortunately, REGEXP_EXTRACT function accepts only literal expression (no possible dynamic injection of the index to simplify the formula)…Ĭalculated field to use as chart metric Page views CASE WHEN Nb tags >= Index AND Index = 1 THEN REPLACE(REGEXP_EXTRACT(Article tags,'(,?+)’),” ,“,””) Then, we add the Google Sheets tab as a Data Studio data source.Ĭalculated field to use as chart dimension Tag CASE That’s a limitation we have to deal with for this trick. Our static splitter: Inside Data Studio, we cannot generate lists except from a data source. I create a simple Google Sheets with one tab & one column “index” of 10 values, from 1 to 10. So with a minimum of allowance, I consider that my list dimension cannot contain more that 10 values to separate. If you are not familiar with regular expressions, in the formula, the delimiter corresponds to the comma just after the ^.įor my tiny data set, the formula returns 4. We remove all characters except commas to count them, get the higher value with max function, and increase by one to get the max number of tags. Feel free to adapt the formula with the delimiter character of your data.įor most of cases, each single value is unique as part of the limiter-separated values of the raw dimension, so this number cannot be higher than the number of distinct value. In my example, values are delimited with comma separator. To get it on GA as example, you can use the following calculated field, applying as the metric of a scorecard on a wide period. It will be important for the consistency of your report in the future. Maximum number of values inside the list dimensionįirst, we need to know our data and especially the max number of values stored in our raw dimensions. So, another new & simple roundabout way to use data blending, like in a previous article to customize labels for pie & donut charts.Ġ. ![]() A calculated metric to keep values only for the right rows.A calculated dimension to split items to single values.A table chart with bars to visualize our data.Blended data to mix data & metrics from Google Analytics (pageviews by article tags), with Sheets data source.A Google Sheets data source playing the role of list splitter.To build an example of bar chart, let’s use the following elements: Attribution: Channel touches for a linear attribution model of conversionsįor this article, I apply the method with an hit-scoped custom dimension, collecting articles tags on Google Analytics, but as usual, you can do exactly the same for any other context with a dimension collecting delimiter-separated values. ![]() E-commerce: Personalized payment methods of a checkout funnel.SEO: List of targeted & optimized keywords.Here some examples of use cases, regardless of the data source & related tools: If your system of storage or your data collection – like Google Analytics – doesn’t allow to manage list dimension, and you don’t wish to send several tracking hits – one by separate value – to optimize the payload of your measurement device, this trick offers a solution to do it quickly & without a layer of data preparation.īut be careful, it is not perfect, just quite nice for simple & small data sets. ![]() Let’s describe step by step, inside Looker Studio (formerly known as Google Data Studio) – how to split delimiter-separated values – as example with comma – from a text dimension to get the same related metrics, drilled down by real single values.
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