I have a string column in a table that contains values like "00123456" when I import the table into jupyter with the cmd. get_dataframe the column type becomes integer and I get the value 123456 without 00. how can i fix this problem and get the same value and data type
Hi Team I am trying to read an excel file from the managed folder in the dataiku which is of "Server's Filesystem" type and reading files from "filesystem_root". Now, I am trying to read an excel file which is present in this managed folder using the below R code and getting an attached error. folder_name <- "DXbBXaww"…
I am new to dataiku and would like to setup a project to QAQC my company database. These are the project requirements: There will be hundred of validation rules (using the validation types: Data Type Check, Code Check, Range Check, Format Check, Consistency Check, Uniqueness Check) for different column, I would like to…
If I'm not logged in and visit https://community.dataiku.com/t5/General-Discussion/Smoothing-in-charts-useless/m-p/37057#M2613 it will load the page ok But if I log in to community.dataiku.com using (sign in with google) , when if I visit that same post I will be shown the following error An Unexpected Error has occurred…
I'm looking for some help/advice on how to use the manual mappings on the multi-class classifier. Here's the setup: I have a dataset where the target variable is given in percentages... so immediately you would guess this is a regression problem. However, the actual values are decimated in increments of 10%... so if I use…
I have dataset in my project called abc_stacked, I have Macro file called xyz.xlsm which has Macro enabled, please let me know how to run macro on dataset in project?
Greetings all, Obviously there is a syntax error, is there some one who can correct? I am expecting a result set with columns acct, name, country, splind1, splindnot1, splind_all. Much appreciated! SELECT `acct`, `name`,`country`, case when `splind = '1' then sum((`transactions`)/`MV`)*100 as "splind1" when `splind` != '1'…
Hi Everyone, Is it possible in dataiku dss to run same code multiple time in parallel with same datasets in inputs and outputs? I am trying to execute single DSS Code Recipe(Python and SQL) multiple times in in parallel to perform on the 100 crores of data for 7 time duration with 200 number of brands with 500 columns. So…
The Line > Smoothing option gives some weird artifacts with loops and multiple values of Y for a single value of X, which I found hilarious : The same line chart without smoothing. I'm guessing it's some kind of bezier curve but doing something with the control points that I don't understand. Does anybody know for sure…
The new post form has Dataiku Version 11-5, version 12 is not there,
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