I want to filter a pivot table in the following set up:
My Table:
Key Value1 Value2
1 23 a
2 33 b
3 1 c
4 5 d
My pivot table (simplified):
Key SUM of Value1 COUNTA of Value2
1 23 1
2 33 1
3 1 1
4 5 1
Grand Total 62 4
I now want to filter the pivot table by the values in this list:
Keys
1
2
4
So the resulting pivot table should look like this:
Key SUM of Value1 COUNTA of Value2
1 23 1
2 33 1
4 5 1
Grand Total 61 3
I thought this should be possible by using a custom formula in the pivot filter but it seems I have no way of using the current cell in the pivot e.g. to make a lookup.
I created a simple example of this setup here: https://docs.google.com/spreadsheets/d/1GlQDYtW8v8ri5L68RhryTZxwTikV_NXZQlccSI6_7pU/edit?usp=sharing
paste this formula in Filters!B1:
=ARRAYFORMULA(IFERROR(VLOOKUP(A1:A, Table!A1:C, {2,3}, 0), ))
and create a resulting pivot table from there:
demo spreadsheet
Related
Suppose I have a table as follows:
id=`A`B`A`B`B`B`A
item= 10 1 1 3 5 10 6
t=table(id,item)
id item
-- ----
A 10
B 1
A 1
B 3
B 5
B 10
A 6
For example, I want to sort the table with two conditions: first, by the most commonly occurring item in column item, then by the highest number in column item.
How can I sort like this:
id item
--- ----
A 10
B 10
A 1
B 1
A 6
B 5
B 3
Is there any way to go about this? Thanks!
Try this:
t1=table(id,item);
update t1 set count=count(item) context by item;
select * from t1 order by count desc, item desc;
the data format i have is as follows:
When i use s2<- fill_(s1,c("Time")), it would use the last seen value..
however i would like all values of time listed below to repeat for each value of Animal
Group Animal Sex Time
1 1001 M 0
4
8
24
48
1 1002 M
1 1003 M
I have a table (table1) with 3 column (ID,V,R), I want to divide it to some table based on ID. for example suppose it is a table1:
ID V R
1 1 T
1 2 F
2 1 T
2 3 T
3 4 F
then because I have 3 type of ID (which it could be more or less) I want 3 different table like this:
table1_1:
ID V R
1 1 T
1 2 F
table 1_2:
ID V R
2 1 T
2 3 T
table 1_3:
ID V R
3 4 F
is there any solution to do it in Laravel?
I apologize in advance if my question is so simple.
I have the following mock up table
#n a b group
1 1 1 1
2 1 2 1
3 2 2 1
4 2 3 1
5 3 4 2
6 3 5 2
7 4 5 2
I am using SAS for this problem. In column group, the rows that are interconnected through a and b are grouped. I will try to explain why these rows are in the same group
row 1 to 2 are in group 2 since they both have a = 1
row 3 is in group 2 since b = 2 in row 2 and 3 and row 2 is in group 1
row 3 and 4 are in group 1 since a = 2 in both rows and row 3 is in group 1
The overall logic is that if a row x contains the same value of a or b as row y, row x also belongs to the same group as y is a part of.
Following the same logic, row 5,6 and 7 are in group 2.
Is there any way to make an algorithm to find these groups?
Case I:
Grouping defined as to be item linkage within contiguous rows.
Use the LAG function to examine both variables prior values. Increase the group value if both have changed. For example
group + ( a ne lag(a) and b ne lag(b) );
Case II:
Grouping determined from pair item slot value linkages over all data.
From grouping pairs by either key
General statement of problem:
-----------------------------
Given: P = p{i} = (p{i,1},p{i,2}), a set of pairs (key1, key2).
Find: The distinct groups, G = g{x}, of P,
such that each pair p in a group g has this property:
key1 matches key1 of any other pair in g.
-or-
key2 matches key2 of any other pair in g.
Demonstrates
… an iterative way using hashes.
Two hashes maintain the groupId assigned to each key value.
Two additional hashes are used to maintain group mapping paths.
When the data can be passed without causing a mapping, then the groups have
been fully determined.
A final pass is done, at which point the groupIds are assigned to each
pair and the data is output to a table.
I am working with a programme that has 4 MapReduce steps.the output of my first step is:
id value
1 20
2 3
3 9
4 36
I have about 1,000,000 IDs and in the second step i must sort the values.the output of this step:
id value
4 36
1 20
3 9
2 3
How can I sort my data in map reduce? Do I need to use terasort? If yes, how do I use terasort in second step of my programme?
Thanks.
If you want to sort according to value's, make it key in map function. i.e.
id value
1 20
2 3
3 9
4 36
5 3
(value) (key) in map function
output will be
key value
3 5
3 2
9 3
20 1
36 4
map<value, id> output key/value
reduce <value, id>
if you want id to be in the first column, this will work.
context.write(value, key);
Note that, id's are not going to be sorted