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Average over groups and include previous groups


Average over groups and include previous groups

By : ballertom
Date : October 20 2020, 08:10 PM
will help you I have a dataframe (df, a sample of which was created below). I want to group by group1 and group2 and take the average of the value. When taking the average, I want to include previous groups within group1. , We may do the following:
code :
df %>% group_by(group1, group2) %>% summarise(values = sum(values), n = n()) %>% 
  mutate(meanvalues = cumsum(values) / cumsum(n)) %>% select(-values, -n)
# A tibble: 7 x 3
# Groups:   group1 [3]
#   group1 group2 meanvalues
#   <fct>   <dbl>      <dbl>
# 1 a           1       2.5 
# 2 a           2       3   
# 3 a           3       4.2 
# 4 b           1       2.5 
# 5 b           2       3.33
# 6 c           1       6   
# 7 c           2       3  


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SQL How to find average of many sums of groups only if the groups follow certain rules

SQL How to find average of many sums of groups only if the groups follow certain rules


By : eyad abu rokbah
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Consider joining two aggregate query derived tables that matches on count to align all household members to all household members with specific conditions.
code :
SELECT AVG(t1.famTotal) as famTotal

FROM
  (SELECT DUID, Count(*) As GrpCount, SUM(TOTEXP15) as famTotal
   FROM `OmniHealth.new2015Data` 
   GROUP BY DUID) As t1

INNER JOIN

  (SELECT DUID, Count(*) As GrpCount
   FROM `OmniHealth.new2015Data` 
   WHERE BMINDX53 BETWEEN 0 AND 25 
     AND ADSMOK42 = -1 
     AND FCSZ1231 = 7
   GROUP BY DUID) As t2

ON t1.DUID = t2.DUID AND t1.GrpCount = t2.GrpCount
How to get average of groups by making two groups per day (daytime/nighttime)?

How to get average of groups by making two groups per day (daytime/nighttime)?


By : GetLastError
Date : March 29 2020, 07:55 AM
Any of those help I have a table named thermo storing two different temperatures per 30 minutes , You can use a CASE to determine the period of interest:
code :
SELECT CAST(strftime('%m%d', dt) AS TIME) as dt,
       (CASE WHEN strftime('%H', dt) BETWEEN 6 AND 17 THEN 'daytime'
             ELSE 'nightime'
         END) as period,
       round(avg(Ti), 1) as Ti,
       round(avg(To), 1) as To
FROM thermo
WHERE dt > datetime(CURRENT_TIMESTAMP, 'localtime', '-10 days')
GROUP BY dt, period
ORDER BY time;
groups.Groups.created_by: (fields.E303) Reverse query name for 'Groups.created_by' clashes withfield name 'User.groups'

groups.Groups.created_by: (fields.E303) Reverse query name for 'Groups.created_by' clashes withfield name 'User.groups'


By : user2125305
Date : March 29 2020, 07:55 AM
may help you . I am trying to migrate these two models: , User related_name parameter:
code :
 created_by=models.ForeignKey(User, on_delete=models.CASCADE,related_name="created")
Is there a way to create groups from a dataframe considering that groups should be balanced by the average of their valu

Is there a way to create groups from a dataframe considering that groups should be balanced by the average of their valu


By : user2239435
Date : March 29 2020, 07:55 AM
hope this fix your issue This looks similar to stratified splitting, but you need 14 splits. Try this!
code :
from sklearn.model_selection import StratifiedKFold

kf = StratifiedKFold(n_splits=14)

cluster_map['group_id'] = 0
group_id =0

for _, test_index in kf.split(cluster_map,cluster['cluster']):
    cluster_map.loc[test_index,'group_id'] = group_id
    group_id += 1
How can I calculate the average price from the previous day, filtering by groups?

How can I calculate the average price from the previous day, filtering by groups?


By : Jaragont
Date : March 29 2020, 07:55 AM
it helps some times I have been trying to perfom a dax calculation without success. My objective is to obtain the average of the column [Média de Preco] considering some filters, which I was able to do with the code bellow. , Try using a variable for the date:
code :
∆PBMedio%_Dia = 
var dateYesterday = MAX(dPBomba_AI_FL[Data Coleta])-1
return
CALCULATE(
    AVERAGE(dPBomba_AI_FL[Média de Preco]);
    dPBomba_AI_FL[Data Coleta] = dateYesterday;
    ALLEXCEPT(
        dPBomba_AI_FL;
        dPBomba_AI_FL[Área de Influência];
        dPBomba_AI_FL[Combustivel];
        dPBomba_AI_FL[Bandeira]
    )
)
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