So i am analysing fund panel data. I estimated a fixed effect model with double clustered error terms along the identification (ISIN) and (Date). Each fund has
I have a list that looks like [(1,2,5),(2,10,13),(5,24,56),(1,8,10),(2,3,11)] How can I produce a dictionary by grouping by first element of tuples and find
I would like to have the winter (DJF) average for every year to plot a time-series. I know that I can group by season if I have a data array (DA). I don't know
I have a working query that is grouping data by hardware model and a result, but the problem is there are many "results". I have tried to reduce that down to "
I'm trying to convert the following SQL query into corresponding Rust Diesel code: SELECT COUNT(*) FROM BookStore WHERE BookName IN ('Lord of the Rings', 'Hobbi
I have column in which 3-4 different values and data like this companyname servicestatus employee abc inservice abc_e1 abc inserv
I have a list of '1's and '0s' and I would like to calculate the number of groups of consecutive '1's. mylist = [0,0,1,1,0,1,1,1,1,0,1,0] Doing it by hand g
I am trying to create a list of unique patients who have left comments. The code words fine until I upload to heroku where it doesnt work in postgresql. This
I have dataframe like this: Date ID Age Gender Fruits 1.1.19 1 50 F Apple 2.1.19 1 50
I have a simple query in PostgreSQL which is ok when I run it without any query parameters : select date_trunc('week', action_time),count(*) from event
I'm using the pandas groupby+agg functionality to generate nice reports aggs_dict = {'a':['mean', 'std'], 'b': 'size'} df.groupby('year').agg(aggs_dict) I wo
I have some difficulties with mySQL commands that I want to do. SELECT a.timestamp, name, count(b.name) FROM time a, id b WHERE a.user = b.user AND a.id =
Assume that I have a set of data pair where index 0 is the value and index 1 is the type: input = [ ('11013331', 'KAT'), ('9085267', 'NOT
From two columns in my table I want to get a unified count for the values in these columns. As an example, two columns are: Table: reports | type