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Merging multiple rows with same field in column


Merging multiple rows with same field in column

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Merging multiple rows with same field in column
Tag : php , By : cmhudson
Date : November 29 2020, 09:01 AM

will be helpful for those in need You have to sum up the different columns using sum() function. To avoid those bot entries you can use a condition to test for player_name is not BOT
select
  player_name,
  sum(kills) as kills,
  sum(deaths) as deaths,
  sum(assists) as assists,
  sum(head_shots) as headshots,
  sum(team_kills) as team_kills,
  sum(assists_team_attack) as assist_team_attack,
  sum(damage) as damage,
  sum(hits) as hits,
  sum(shots) as shots,
  sum(last_alive) as last_alive
group by steam_id_64
where steam_id_64 != "BOT"

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Merging multiple rows based on first column


Tag : vba , By : xie renhui
Date : March 29 2020, 07:55 AM
Hope this helps As you have commented, using a variant array rather than looping the cells directly will speed this up enormously
To apply that here you could:
Sub Demo()
    Dim ws As Worksheet
    Dim rng As Range
    Dim datSrc As Variant
    Dim datDst As Variant
    Dim i As Long
    Dim j As Long
    Dim rwOut As Long
    Dim str As String

    Set ws = ActiveSheet

    With ws
        Set rng = Range(.Cells(1, 2), .Cells(.Rows.Count, 3).End(xlUp))
        datSrc = rng.Value

        ReDim datDst(1 To UBound(datSrc, 1), 1 To UBound(datSrc, 2))
        rwOut = 1

        For i = 1 To UBound(datSrc, 1)
            str = datSrc(i, 1)
            If datSrc(i, 2) <> vbNullString Then
                For j = i + 1 To UBound(datSrc, 1)
                    If datSrc(i, 2) = datSrc(j, 2) Then
                        str = str & "," & datSrc(j, 1)
                        datSrc(j, 2) = vbNullString
                    End If
                Next
                datDst(rwOut, 1) = str
                datDst(rwOut, 2) = datSrc(i, 2)
                rwOut = rwOut + 1
            End If
        Next
        rng = datDst
    End With
End Sub

Merging multiple rows and column data into single concatenated row


Tag : sql , By : Tink
Date : March 29 2020, 07:55 AM
it helps some times Here's how my table looks , You need a subquery to remove the duplicates, something like;
select id, listagg(name, ',') within group (order by name) as names
from (
  select id, name1 as name from your_table
  union 
  select id, name2 as name from your_table
  union
  select id, name3 as name from your_table
)
group by id
with your_table(id, name1, name2, name3) as (
  select 1,  'a', 'b', 'c' from dual 
  union all select 1, 'c', 'd', 'a' from dual
  union all select 2, 'd', 'e', 'a' from dual
  union all select 2, 'c', 'd', 'b' from dual
)
select id, listagg(name, ',') within group (order by name) as names
from (
  select id, name1 as name from your_table
  union 
  select id, name2 as name from your_table
  union
  select id, name3 as name from your_table
)
group by id;

ID NAMES              
-- --------------------
 1 a,b,c,d             
 2 a,b,c,d,e           

Merging multiple rows by disticnt row value into a single column


Tag : r , By : Mahesh
Date : March 29 2020, 07:55 AM
Hope that helps Using R trying to merge raw matrix to result a matrix based on the value of the row value. , We can use split
split(df1[,2], df1[,1])
#$a1
#[1] 10 20 40

#$a2
#[1] 45 50

#$a3
#[1] 40

#$a4
#[1] 45 60

merging one column from multiple rows based on another column


Tag : awk , By : alchemist
Date : March 29 2020, 07:55 AM
This might help you Trying to merge multiple rows into 1 based on first column. , Awk solution:
awk -F'\t' '{ a[$1]=($1 in a? a[$1]",":"")$2 }END{ for(i in a) print i,a[i] }' OFS='\t' file
U604    LRRC69
U586    PLEKHA5,C8orf77,ZNF252,LINGO2
U531    5S_rRNA,C3orf33
S784    CHST5,TMEM231,TM4SF20,TMEM184A

Merging multiple rows per group into one while merging only some column data in R


Tag : r , By : Blight
Date : March 29 2020, 07:55 AM
it helps some times I believe you can just use a summary statement like post_datapoint_xyz = first(post_datapoint_xyz) for each of the post-columns to address your problem.
What also works would be to simply include all the post columns into your group_by list :)
all_reddits <- all_posts_and_comments %>%
  group_by_at(vars(starts_with('post_'))) %>%
  summarise(...)
all_reddits <- all_posts_and_comments %>%
  nest(starts_with('comment_'), .key = 'comments')
all_posts_and_comments.2 <- all_reddits %>%
  unnest(comments)
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