I have the following pyspark dataframe df_model: id_client id_sku 1111 4444 1111 ...
I have the following pyspark dataframe df_model: id_client id_sku 1111 4444 1111 ...
I'm working with a table similar to this in bigquery at my job: We want to take this data and perform the following transformation: For each uniqu ...
Trying to transform my data from lm-stands for last month hopefully this makes sense ,how i have it ...
There is a dataset data with many columns, but right now I'm interested at the column with age of the shop. In that column are values "-", NA or diffe ...
The column consist of minutes that is in the decimal format. This is to be converted to Time format. Example: The 5th record is 61 minutes and 6 se ...
I have two data sources that are loaded into Azure Synapse. Both raw data sources contain an 'Apple' table. I merge these into a single 'Apple' table ...
DataFrame df = pd.DataFrame({ 'Id': [1,1,1,1,2,2,3,4,4,4], 'Col_1':['AD11','BZ23','CQ45','DL36','LM34','MM23','DL35','AD11','BP23',' ...
I have a dataset which I am trying to filter via 2 values that the user can select and display mean, median and n for the selected category. I have a ...
I have a dataset which has many columns listing multiple years worth of values, example: Country 2020 Rank X 2020 Rank Y ...
How do I change this table from wide to long format in R? I have tried a few different libraries but can't seem to get it. I have tried using resha ...
A tricky one for you. I have two data frames, one that is a list of odd ratios (skipping the first as it is our predictor). See below: ...
I have currently done with my code transformation on my api data by its roleId. However, I need to display another view which will group the data acco ...
I just transformed my API called data to a certain format in order to fit into ant design table tree data. https://ant.design/components/table/#compo ...
I need to group all the projectIds together and If the projectId is the same, the children should be together in the current item. Refer to the below ...
I have some log data tracking invoice processing, like the example below: I need to show, for every invoice, when the first and last of each activi ...
I would like to implement a deep neural network in Python (preferably PyTorch, but TensorFlow is also possible) which predicts the next location and t ...
I would appreciate an elegant solution for filtering rows based on boolean conditions depending on unique identifiers. My dataset is a kind of mixture ...
I need to extract data from an API to Azure and the API output is like this: The goal is to create a new object named "Value" with the values found ...
Could you tell me please if there is a suitable quantizing method in the following case (preferrably implemented in python)? There is an input range ...
I have a dataset, with patient records that have either had consults or not indicated by 7 variables (FITM1-7, I will only showcase 2, FITM1, FITM2) h ...