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Is it possible to maximum occurences of a value for each key in my table all in one query?


Is it possible to maximum occurences of a value for each key in my table all in one query?

By : user2955266
Date : November 22 2020, 10:38 AM
hop of those help? Try this but beware the situation where red and blue both have count of 26... both will be returned.
code :
with cte as
    (select k,v,count(v) c
    from #kvp
    group by k,v)
select results.* 
from 
    cte restults
    inner join (select k, max(c) m from cte group by k) filter
        on restults.k = filter.k
where 
    filter.m = restults.c
    and id = @id


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SQL Query Return Entries with no Occurences in Other Table

SQL Query Return Entries with no Occurences in Other Table


By : MetalChris
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I have two tables, orders and customers, and I am trying to return the customerID and name of customers with no orders. , You need a LEFT OUTER JOIN to accomplish this:
code :
SELECT customers.customerID, customers.fName
FROM customers LEFT OUTER JOIN orders on customers.customerID = orders.customerID
WHERE orders.customerID IS NULL
Count maximum consecutive occurences of a string in a dataframe column

Count maximum consecutive occurences of a string in a dataframe column


By : Gandalf
Date : March 29 2020, 07:55 AM
this one helps. I have a panda dataframe in which I would like to count the number of consecutive occurences of a specific string in one column. , Can do the usual trick of grouping consecutive values:
code :
df1 = df.groupby((df.col1 != df.col1.shift()).cumsum().rename(None)).col1.agg(['size', 'first'])
#   size    first
#1     3  string1
#2     1  string2
#3     2  string3
#4     1  string1
df1 = df1.sort_values('size').drop_duplicates('first', keep='last').set_index('first').rename_axis(None)
#         size
#string2     1
#string3     2
#string1     3
df1.loc['string1']
#size    3
#Name: string1, dtype: int64
Count maximum occurences and find the corresponding value in excel

Count maximum occurences and find the corresponding value in excel


By : Hugo Dubé
Date : March 29 2020, 07:55 AM
This might help you @BigBen's solution didn't work for me because MODE.SNGL seems to be a child of Excel 365 which I don't have. If you are in the same situation, the following will work on earlier versions of Excel.
Extract the name with [G2] =INDEX(Names,MODE(MATCH(Names,Names,0))) and the Employee ID with
code :
=INDEX(EmpID,MATCH(G2,Names,0))
Count maximum occurences in a dataframe column for a specific timespan

Count maximum occurences in a dataframe column for a specific timespan


By : user3712820
Date : March 29 2020, 07:55 AM
it fixes the issue I believe you need for test number of rows span in weeks from Monday to Sunday:
code :
df['col1'] = pd.to_datetime(df['col1'], dayfirst=True)
g = df['col2'].ne(df['col2'].shift()).cumsum()

df1 = df.groupby([g, pd.Grouper(freq='W-Mon', key='col1')])['col2'].agg(['first','size'])
print (df1)
                   first  size
col2 col1                     
1    2020-02-17  string1     1
     2020-02-24  string1     2
2    2020-02-17  string2     1
3    2020-02-10  string3     2
4    2020-02-03  string1     1

df2 = (df1.sort_values('size')
          .drop_duplicates('first', keep='last')
          .reset_index(level=0, drop=True))
print (df2)
              first  size
col1                     
2020-02-17  string2     1
2020-02-24  string1     2
2020-02-10  string3     2
Find Number of Occurences for Maximum Value for each unique item in R

Find Number of Occurences for Maximum Value for each unique item in R


By : Gunna
Date : March 29 2020, 07:55 AM
To fix this issue To do this for each unique type of car, you can use ddply in the plyr package:
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