Ive been having troubles sorting my free form explorations data to the order I am wanting.
Here I want the video_complete row to be at the bottom of my nested list so it makes sense when reading this data:
How would you go about this? Im interested in any tips for sorting rows of data
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Very new using R for anything database related, much less with AWS.
I'm currently trying to work with this set of code here. Specifically the '### TEST SPECIFIC TABLES' section.
I'm able to get the code to run, but now I'm actually not sure how to pull data from the tables. I assume that I have to do something with 'groups' but not sure what I need to be doing next to pull the data out of it.
So even more specifically, how would I pull out specific data like revenue for all organizations within the year 2018 for example. I've tried readRDS to pull a table as a dataframe but I get no observations or variables for any table. So I'm sort of lost of what I need to do here to pull the data our of the tables.
Thanks in advance!
I am currently working in data cleaning and visualization.
I though a useful feature would be to scroll two almost identical tables at the same time.
(The only change would be a column of the date time for example. )
So when you scroll the table in one side you can see the changes for the same row in the other side.
I was looking in google, and I imagine maybe I have to use javascript. Anyway I am not working with rhandsometable
Does anybody knows how to perform this action?
Thank you very much!
I'm getting daily exports of Google Analytics data into BigQuery and these form the basis for our main reporting dataset.
Over time i need to add new columns for additional things we use to enrich the data - like say a mapping from url to 'reporting category' for example.
This is easy to just add as a new column onto the processed tables (there is about 10 processing steps at the moment for all the enrichment we do).
This issue is if stakeholders then ask - can we add that new column to the historical data?
Currently i then need to rerun all the daily jobs which is very slow and costly.
This is coming up frequently enough that i'm seriously thinking about redesigning my data pipelines to tailor for the fact that i often need to essentially drop and recreate ALL the data from time to time when i need to add a new field or correct old dirty data or something.
I'm just wondering if there is better ways to
Add a new column to an old table in BQ (would be happy to do this by hand for these instances where i can just join the new column based on the ga [hit_key] i have defined which is basically a row key)
(Less common) Update existing tables based on some where condition.
Just wondering what best practices are and if anyone has had similar issues where you basically need to update an historic shema and if there are ways to do it without just dropping and recreating which is essentially what i'm currently doing.
To be clearer on my current approach: I'm taking the [ga_sessions_yyyymmdd] table and making a series of [ga_data_prepN_yyyymmdd] tables where is either add new columns at each step or reduce the data in some way. There is now 11 of these steps and each time i'm taking all the 100 or more columns along for the ride. This is what i'm going to try design away from as currently 90% of the columns at each stage dont even need to be touched as they can just be joined back on at the end maybe based on hit_key or something.
It's a little bit messy though to try and pick apart.
Adding new columns to the schema of the existing historical tables is possible, but the values for newly added columns will be NULLs. If you do need to populate values into these columns, probably the best approach is to use UPDATE DML statement. More details how to try it out is here: Does BigQuery support UPDATE, DELETE, and INSERT (SQL DML) statements?
This probably has a simple answer, but I've been looking all over and can't find anything to suit my needs.
I've been using gridviews to display data, but new customer requirements call for the user to be able to select individual columns, rows, or cells. Does anyone know of a good option?
Thanks.
EDIT:
Essentially, I'm displaying several rows of data, each row comprised of multiple columns. With standard gridviews you can't really select all the data in one column without selecting data from the other columns. I need a way for the user to select one column worth of data so that they can copy the data out.
If you're looking for commercial solution, check out Infragistics NetAdvantage for ASP.NET. Example of grid in action: http://www.infragistics.com/products/aspnet/sample/data-grid/selection-client-events
I have to give a functionality on one of my pages is like:
I have data which represents data of a row from a table, and table has many columns.
This data has to be edited, and sent back to the server.
I am showing data in a datagrid, which obviously doesnt look good as we always have one row and that too a large row, so user has to use scroll to look for some values.
I want suggestions for this, like what should i use to make it look better and more user friendly.
I could have hard coded things but considering, if tomorrow table schema or xml respnse change it will break.
Any suggestions will be nice.
If I have clearly understood your problem, you have too much information in a row and you would like too be able to see all of your row data in the meantime.
How about creating dynamically, on a row double click by example, a form popup that would display vertically your columns data ?