I am new to programming and computer science. HTML is all I know and I have been facing problems with vbscript.
This program (my first in vbscript) was given by my teacher. But I really do not understand anything. I referred to my book but in vain.
I am not even sure if this is the right SE to post the question.
Please help.
What you have there is a loop with another nested loop, both of which print some text to the screen (document.write("...")).
The outer loop
For i = 1 To 5 Step 1
...
Next
iterates from 1 to 5 in steps of 1 (which is redundant, since 1 is the default step size, so you could just omit the Step 1). If you printed the value of i inside the loop
For i = 1 To 5 Step 1
document.Write(i & "<br>")
Next
You'd get the following output:
1
2
3
4
5
In your code sample you just print <br>, though, so each cycle of the outer loop just prints a line break.
In addition to printing line breaks in the outer loop you also have a nested loop, which for each cycle of the outer loop iterates from 1 to the current value of i, again in steps of 1.
For j = 1 To i Step 1
...
Next
So in the first cycle of the outer loop (i=1) the inner loop iterates from 1 to 1, in the second cycle of the outer loop (i=2) it iterates from 1 to 2, and so on.
For i = 1 To 5 Step 1
document.Write(i & "<br>")
For j = 1 To i Step 1
document.Write("*")
Next
Next
Since the inner loop prints an asterisk with each cycle you get i asterisks per line before the inner loop ends, the outer loop then goes into the next cycle and prints a line break, thus ending the current output line.
A good (although somewhat tedious) way to get an understanding of how the loops work is to note the current value of each variable as well as the current output line in a table on a sheet of paper, e.g. like this:
code line | instruction | i | j | output line
----------+------------------------+-------+-------+------------
1 | For i = 1 To 5 Step 1 | 1 | Empty |
2 | document.Write("<br>") | 1 | Empty | <br>
3 | For j = 1 To i Step 1 | 1 | 1 |
4 | document.Write("*") | 1 | 1 | *
5 | Next | 1 | 1 | *
6 | Next | 1 | 1 | *
1 | For i = 1 To 5 Step 1 | 2 | 1 | *
2 | document.Write("<br>") | 2 | 1 | *<br>
3 | For j = 1 To i Step 1 | 2 | 1 |
4 | document.Write("*") | 2 | 1 | *
5 | Next | 2 | 1 | *
3 | For j = 1 To i Step 1 | 2 | 2 | *
4 | document.Write("*") | 2 | 2 | **
5 | Next | 2 | 2 | **
6 | Next | 2 | 2 | **
1 | For i = 1 To 5 Step 1 | 3 | 2 | **
2 | document.Write("<br>") | 3 | 2 | **<br>
3 | For j = 1 To i Step 1 | 3 | 1 |
4 | document.Write("*") | 3 | 1 | *
... | ... | ... | ... | ...
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Iam stuck on an awk related problem to counts matching occurences. I have a file containing a list of IDs (numbers and or characters) as well as another file containing another ID with a second column containing a collection of the first IDs:
File 1:
| ID1 |
| --- |
| 1 |
| 2 |
| 5 |
| 7 |
File 2:
| ID2 | ID1_collection |
| -------- | -------- |
| 1 | 1,2,3 |
| 2 | 1 |
| 3 | 4 |
| 4 | |
| 5 | 5 |
| 6 | |
The column with the collection doesn't have to be filled or match any of the IDs present in the first file. The goal is a file that looks like this:
| ID2 | ID1_collection | count |
| -------- | -------- | -------- |
| 1 | 1,2,3 | 2
| 2 | 1 | 1
| 3 | 4 | 0
| 4 | | 0
| 5 | 5 | 1
| 6 | | 0
However I am unable to think about a logic which goes through the whole column of file 1 and count, how many of those IDs are present inside the collection with an awk script.
I thought I can create an array containing all ID1 values and split each string from ID1_collection at the separator inside the column (the global separator is "|") to grep for exact matches. But I am not able to figure out a) how efficient this would be (I guess not really) and b) how to write the syntax in a reasonable fashion...
Any help would be appreciated
An approach using awk
% awk 'NR == FNR{x++; arr[$1]++; next}
FNR == 1{print $0, "count"; next}
{n = split($2, a, ",")
for(i in arr){
for(j=1; j<=n; j++){
if(i == a[j]){ y++ }}}
print $0, y; y = 0}' file1 file2
ID2 ID1_collection count
1 1,2,3 2
2 1 1
3 4 0
4 "" 0
5 5 1
6 "" 0
Data
% cat file1 file2
ID1
1
2
5
7
ID2 ID1_collection
1 1,2,3
2 1
3 4
4 ""
5 5
6 ""
Cube is populated with data divided into time dimension ( period ) which represents a month.
Following query:
select non empty {[Measures].[a], [Measures].[b], [Measures].[c]} on columns,
{[Period].[Period].ALLMEMEMBERS} on rows
from MyCube
returns:
+--------+----+---+--------+
| Period | a | b | c |
+--------+----+---+--------+
| 2 | 3 | 2 | (null) |
| 3 | 5 | 3 | 1 |
| 5 | 23 | 2 | 2 |
+--------+----+---+--------+
Removing non empty
select {[Measures].[a], [Measures].[b], [Measures].[c]} on columns,
{[Period].[Period].ALLMEMEMBERS} on rows
from MyCube
Renders:
+--------+--------+--------+--------+
| Period | a | b | c |
+--------+--------+--------+--------+
| 1 | (null) | (null) | (null) |
| 2 | 3 | 2 | (null) |
| 3 | 5 | 3 | 1 |
| 4 | (null) | (null) | (null) |
| 5 | 23 | 2 | 2 |
| 6 | (null) | (null) | (null) |
+--------+--------+--------+--------+
What i would like to get, is all records from period 2 to period 5, first occurance of values in measure "a" denotes start of range, last occurance - end of range.
This works - but i need this to be dynamically calculated during runtime by mdx:
select non empty {[Measures].[a], [Measures].[b], [Measures].[c]} on columns,
{[Period].[Period].&[2] :[Period].[Period].&[5]} on rows
from MyCube
desired output:
+--------+--------+--------+--------+
| Period | a | b | c |
+--------+--------+--------+--------+
| 2 | 3 | 2 | (null) |
| 3 | 5 | 3 | 1 |
| 4 | (null) | (null) | (null) |
| 5 | 23 | 2 | 2 |
+--------+--------+--------+--------+
I tried looking for first/last values but just couldn't compose them into the query properly. Anyone has this issue before ? This should be pretty common seeing as I want to get a continuous financial report without skipping months where nothing is going on. Thanks.
Maybe try playing with NonEmpty / Tail function in a WITH clause:
WITH
SET [First] AS
{HEAD(NONEMPTY([Period].[Period].MEMBERS, [Measures].[a]))}
SET [Last] AS
{TAIL(NONEMPTY([Period].[Period].MEMBERS, [Measures].[a]))}
SELECT
{
[Measures].[a]
, [Measures].[b]
, [Measures].[c]
} on columns,
[First].ITEM(0).ITEM(0)
:[Last].ITEM(0).ITEM(0) on rows
FROM MyCube;
to debug a custom set, to see what members it is returning you can do something like this:
WITH
SET [First] AS
{HEAD(NONEMPTY([Period].[Period].MEMBERS, [Measures].[a]))}
SELECT
{
[Measures].[a]
, [Measures].[b]
, [Measures].[c]
} on columns,
[First] on rows
FROM MyCube;
I think reading your comment about Children means that this is also an alternative - to add an extra [Period]:
WITH
SET [First] AS
{HEAD(NONEMPTY([Period].[Period].[Period].MEMBERS
, [Measures].[a]))}
SET [Last] AS
{TAIL(NONEMPTY([Period].[Period].[Period].MEMBERS
, [Measures].[a]))}
SELECT
{
[Measures].[a]
, [Measures].[b]
, [Measures].[c]
} on columns,
[First].ITEM(0).ITEM(0)
:[Last].ITEM(0).ITEM(0) on rows
FROM MyCube;
I am trying to expand a data set to include dates outside of the current range.
The data I have ranges from 1992q1 to 2017q1. Each observation exists within a portion of that larger window, for example from 1993q2 to 1997q1.
I need to create quarterly observations for each range to fill the missing time. I have already expanded the existing data into quarters.
What I cannot figure out how to do is add in those missing quarters. For example, country1 may have the dates 1993q2 to 1997q1. I need to add in the missing dates from 1992q1 to 1993q1 and 1997q2 to 2017q1.
A very simple analogue of I want I think is your question is shown by this sandbox dataset.
clear
set obs 10
gen id = cond(_n < 7, 1, 2)
gen qdate = yq(1992, 1) in 1
replace qdate = yq(1992, 3) in 7
bysort id (qdate) : replace qdate = qdate[_n-1] + 1 if missing(qdate)
format qdate %tq
list, sepby(id)
+-------------+
| id qdate |
|-------------|
1. | 1 1992q1 |
2. | 1 1992q2 |
3. | 1 1992q3 |
4. | 1 1992q4 |
5. | 1 1993q1 |
6. | 1 1993q2 |
|-------------|
7. | 2 1992q3 |
8. | 2 1992q4 |
9. | 2 1993q1 |
10. | 2 1993q2 |
+-------------+
fillin id qdate
list, sepby(id)
+-----------------------+
| id qdate _fillin |
|-----------------------|
1. | 1 1992q1 0 |
2. | 1 1992q2 0 |
3. | 1 1992q3 0 |
4. | 1 1992q4 0 |
5. | 1 1993q1 0 |
6. | 1 1993q2 0 |
|-----------------------|
7. | 2 1992q1 1 |
8. | 2 1992q2 1 |
9. | 2 1992q3 0 |
10. | 2 1992q4 0 |
11. | 2 1993q1 0 |
12. | 2 1993q2 0 |
+-----------------------+
So. fillin is a simple way of ensuring that all cross-combinations of identifier and time are present. However, to what benefit? Although not shown in this example, values of other variables spring into existence only as missing values. In some situations, proceeding with interpolation is justified, but usually, you just live with incomplete panels.
How to find solutions like these? One good strategy is to skim through the [D] manual to see what basic data management commands exist.
I have requirement to emit all records corresponds to a group, only when a condition is met. Below is the sample data set with alias name as "SAMPLE_DATA".
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
3 | 3 | 1
3 | 2 | 2
4 | 5 | 1
4 | 6 | 2
SAMPLE_DATA_GRP = GROUP SAMPLE_DATA BY Col-1;
RESULT = FOREACH SAMPLE_DATA_GRP {
max_value = MAX(SAMPLE_DATA.Col-2);
IF(max_value >= 5)
GENERATE ALL RECORDS IN THAT GROUP;
}
RESULT should be:
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
---- ---- ---
4 | 5 | 1
4 | 6 | 2
Two groups got generated. First group is generate because max value of 4,5 is "5"(which meets our condition >=5). Same for second group (6 >= 5).
As I would be performing this operation on big dataset operations like distinct and join would be overkill. For this reason I have come up with pseudo code with one grouping to perform this operation.
Hope I have provided enough information. Thanks in advance.
I would be performing this operation on a huge data set. Doing operation like distinct and join would be overkill on the system. For this reason I have come up with this grouping approach.
Please try the below code and see..
This solution is little lengthy ,but it will work
numbers = LOAD '/home/user/inputfiles/c1.txt' USING PigStorage(',') AS(c1:int,c2:int,c3:int);
num_grp = GROUP numbers by c1;
num_each = FOREACH num_grp
{
max_each = MAX(numbers.c2);
generate flatten(group) as temp_c1, (max_each >= 5 ?1 :0) as indicator;
};
num_each_filtered = filter num_each BY indicator == 1;
num_joined = join numbers BY c1,num_each_filtered by tem_c1;
num_output = FOREACH num_joined GENERATE c1,c2,c3;
dump num_output;
O/p:
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
---- ---- ---
4 | 5 | 1
4 | 6 | 2
This is a bit hard to explain in words ... I'm trying to calculate a sum of grouped distinct values in a matrix. Let's say I have the following data returned by a SQL query:
------------------------------------------------
| Group | ParentID | ChildID | ParentProdCount |
| A | 1 | 1 | 2 |
| A | 1 | 2 | 2 |
| A | 1 | 3 | 2 |
| A | 1 | 4 | 2 |
| A | 2 | 5 | 3 |
| A | 2 | 6 | 3 |
| A | 2 | 7 | 3 |
| A | 2 | 8 | 3 |
| B | 3 | 9 | 1 |
| B | 3 | 10 | 1 |
| B | 3 | 11 | 1 |
------------------------------------------------
There's some other data in the query, but it's irrelevant. ParentProdCount is specific to the ParentID.
Now, I have a matrix in the MS Report Designer in which I'm trying to calculate a sum for ParentProdCount (grouped by "Group"). If I just add the expression
=Sum(Fields!ParentProdCount.Value)
I get a result 20 for Group A and 3 for Group B, which is incorrect. The correct values should be 5 for group A and 1 for group B. This wouldn't happen if there wasn't ChildID involved, but I have to use some other child-specific data in the same matrix.
I tried to nest FIRST() and SUM() aggregate functions but apparently it's not possible to have nested aggregation functions, even when they have scopes defined.
I'm pretty sure there is some way to calculate the grouped distinct sum without needing to create another SQL query. Anyone got an idea how to do that?
Ok I got this sorted out by adding a ROW_NUMBER() function my SQL query:
SELECT Group, ParentID, ROW_NUMBER() OVER (PARTITION BY ParentID ORDER BY ChildID ASC) AS Position, ChildID, ParentProdCount FROM Table
and then I replaced the SSRS SUM function with
=SUM(IIF(Position = 1, ParentProdCount.Value, 0))
Put a grouping over the ParentID and use a summation over that group,
eg:
if group over ParentID = "ParentIDGroup"
then
column sum of ParentPrdCount = SUM(Fields!ParentProdCount.Value,"ParentIDGroup")