google-data-studio

问题 I have a few cases of clients that verified their property somewhere in the past year. To summarize the issue: Google Data Studio has a huge gap in data from say 2 months before the verification, but in GSC itself I can see full 16 months of data. I don't know how to solve this. You can see the gap in data very clearly on the time series chart (see screenshot). You can also see that Google Search Console itself has the data. Does anyone else have this issue as well? Did you find a solution or

问题 I want to connect my GCP cloud sql instance with data studio and create a report using REST API. Is there any REST API available for this? By using data studio UI we can do that but I want to automate it using REST API. Are their any options to automate the cloud sql instance connection and report creation other than Data Studio UI? 回答1: You can create reports in your application ANDROID with a library... the library is 'apwlibrary'. Create the reports with that library in a pdf, this a

问题 I want to connect my GCP cloud sql instance with data studio and create a report using REST API. Is there any REST API available for this? By using data studio UI we can do that but I want to automate it using REST API. Are their any options to automate the cloud sql instance connection and report creation other than Data Studio UI? 回答1: You can create reports in your application ANDROID with a library... the library is 'apwlibrary'. Create the reports with that library in a pdf, this a

问题 Geomap chart usually shows entire world. How to show one country's region and color them according to my data? Also how can I group my data in a table so data studio can actually represent regions of my country? e.g. i have 3 countries and number of accounts in each country, in what column can i put regional data for my country? country account_number region russia 324 ?? kazakhstan 5785 ?? america 2342 ?? EDIT: i have added a report , data studio recognizes the country by country code, but

问题 I'm fairly new to GDS and I'm loving it so far. What I'm trying to do is have a Google sheet containing requirements and quantity for a specific job, and then use the Data Studio to be able to search by the requirement and have the quantity in the same field. I've mocked up some examples of what I currently have: https://datastudio.google.com/open/1z0SIYa0ucpBiJXf_IQBaIsu61INP71Hc https://docs.google.com/spreadsheets/d/1eUhE3chM77etyTcv4E7jyB_6vCFxSYArMyF2ptxK180/edit?usp=sharing If I combine

问题 I'm fairly new to GDS and I'm loving it so far. What I'm trying to do is have a Google sheet containing requirements and quantity for a specific job, and then use the Data Studio to be able to search by the requirement and have the quantity in the same field. I've mocked up some examples of what I currently have: https://datastudio.google.com/open/1z0SIYa0ucpBiJXf_IQBaIsu61INP71Hc https://docs.google.com/spreadsheets/d/1eUhE3chM77etyTcv4E7jyB_6vCFxSYArMyF2ptxK180/edit?usp=sharing If I combine

问题 I've created a view to join two tables in Big Query. When I use that view as a data source in Data Studio I get a configuration error. The query used to create the view looks like this: SELECT emp.name, emp.gender, emp.age, pay.salary FROM [project:doug.employees] as emp JOIN [project:doug.payrates] as pay on emp.name = pay.name Within Big Query the view works as expected. I can query it without any problems. If I try to use the view directly as a data source in Data Studio, I get the

问题 I've created a view to join two tables in Big Query. When I use that view as a data source in Data Studio I get a configuration error. The query used to create the view looks like this: SELECT emp.name, emp.gender, emp.age, pay.salary FROM [project:doug.employees] as emp JOIN [project:doug.payrates] as pay on emp.name = pay.name Within Big Query the view works as expected. I can query it without any problems. If I try to use the view directly as a data source in Data Studio, I get the

问题 I would like to generate an easy daily percentage change of var in Google Data Studio day-by-day as done below: Basically, as shown in C4 , -65.31% indicates that from day 2 to day 3 there was a decrement of 65.31% of var value and so on. 回答1: Created a Google Data Studio Report to demonstrate as well as a GIF to elaborate on the process below (link to the respective GIF and Google Data Studio Forum Post). 1) dayPLUS1 (Calculated Field: Data Source-level) Create a metric that adds 1 to the

问题 When I apply a filter, in addition to removing the data I indicated, the Null is also eliminated: 回答1: Adding an OR clause to the Filter so as to Include [FIELD] Is Null would do the trick: Exclude Opened_product_category_1 IN PREUBA|PRUEBAS DE IMPACTO OR Include Opened_product_category_1 Is Null NOTE : if you are looking to Exclude PREUBA or PRUEBAS DE IMPACTO then the first clause would be: Exclude Opened_product_category_1 RegExp Match PREUBA|PRUEBAS DE IMPACTO Created a Google Data Studio