Background
I'm creating a grade book in Excel for my wife. I have sheets for the overall grade, classwork, exams, and participation.
The three sections of work (classwork, exams, and participation) each have a variable number of items, and each item has a different number of points possible. Each section has a weight in the overall grade.
I have this up and running with a fixed number of items per section, but I'd like to create a template that can be updated from class to class and year to year.
Here's the problem:
On the classwork sheet, I'd like to be able to enter new assignments and their point value and have that automatically update the master grade sheet on my first sheet tab. Is there any way to add columns in a section of one worksheet (the master grade sheet) when new rows are added to another worksheet (the list of assignments)?
It is possible to achieve this without using VBA. The reason you will have difficulty acheiving this, however, is that you've violated normal form in the table you've already built. It appears the pertinent data you're looking for is each student's score on each assignment. If this if correct, the level of granularity you will want is on the Assignment, not on the Student.
There are some fairly quick ways to modify your existing work to account for this. I've written out some sample data below. Take a look and see if it helps.
Sample Original Table
+---------+------+------------+------------+
| Student | Quiz | Thumbnails | Watercolor |
+---------+------+------------+------------+
| Paul | 3 | 10 | 90 |
| Frank | 4 | 10 | 95 |
| Mary | 5 | 10 | 70 |
| Ellen | | 10 | 85 |
| Sue | 6 | 10 | 92 |
| Anton | 5 | 10 | 87 |
+---------+------+------------+------------+
Image of the data is below ( note I have highlighted the blank value ).
Sample Normal Table
+---------+-------------+-----------+-------+
| Student | Assignment | New_Score | Score |
+---------+-------------+-----------+-------+
| Paul | Quiz | | 3 |
| Frank | Quiz | | 4 |
| Mary | Quiz | | 5 |
| Ellen | Quiz | | 0 |
| Sue | Quiz | | 6 |
| Anton | Quiz | | 5 |
| Paul | Thumbnails | | 10 |
| Frank | Thumbnails | | 10 |
| Mary | Thumbnails | | 10 |
| Ellen | Thumbnails | | 10 |
| Sue | Thumbnails | | 10 |
| Anton | Thumbnails | | 10 |
| Paul | Watercolor | | 90 |
| Frank | Watercolor | | 95 |
| Mary | Watercolor | | 70 |
| Ellen | Watercolor | | 85 |
| Sue | Watercolor | | 92 |
| Anton | Watercolor | | 87 |
| Mary | ExtraCredit | 10 | 10 |
| Ellen | ExtraCredit | 8 | 8 |
| Sue | ExtraCredit | 9 | 9 |
| Anton | ExtraCredit | 10 | 10 |
+---------+-------------+-----------+-------+
Image of the data is below. The score column reaches back to your old table and grabs the score you've already entered for the students, so you won't have to do this all manually. The formula for this is =INDEX(non_normal,MATCH([#Student],non_normal[Student],0),MATCH([#Assignment],non_normal[#Headers],0)).
This assumes you've formatted the old data into an Excel DataTable ( ctrl+t ) and named it non_normal ( alt+j+t+i ). Note the unsubmitted assignment for Ellen comes through with a score of zero using this method. I've added a column named New_Score so that you are able to add new student-assignment submission combinations to the table without having to modify your old non_normal table ( which was the trouble in the OP ). With this column added, the formula in the Score column can be changed to =IF(NOT(ISBLANK([#[New_Score]])),[#[New_Score]],INDEX(non_normal,MATCH([#Student],non_normal[Student],0),MATCH([#Assignment],non_normal[#Headers],0))) which will take the New_Score value if available and the original score if not.
The orange cells are new student-assignment submission combinations. Note you do not need to add a row for every student, just add a row whenever a student submits an assignment.
Sample Assignments Table
+-------------+-----------------+
| Assignment | Points_Possible |
+-------------+-----------------+
| Quiz | 6 |
| Thumbnails | 10 |
| Wartercolor | 100 |
| ExtraCredit | |
+-------------+-----------------+
I've added the ExtraCredit assignment with a possible max score of zero/blank ( since not completing extra credit shouldn't count against a student )
Payoff - Back to the Original Table
+--------------+---------------+------------+------------+-------------+-------------+--------+
| Sum of Score | Column Labels | | | | | |
+--------------+---------------+------------+------------+-------------+-------------+--------+
| Row Labels | Quiz | Thumbnails | Watercolor | ExtraCredit | Grand Total | |
+--------------+---------------+------------+------------+-------------+-------------+--------+
| Anton | 5 | 10 | 87 | 10 | 112 | 96.6% |
| Ellen | 0 | 10 | 85 | 8 | 103 | 88.8% |
| Frank | 4 | 10 | 95 | | 109 | 94.0% |
| Mary | 5 | 10 | 70 | 10 | 95 | 81.9% |
| Paul | 3 | 10 | 90 | | 103 | 88.8% |
| Sue | 6 | 10 | 92 | 9 | 117 | 100.9% |
+--------------+---------------+------------+------------+-------------+-------------+--------+
Using the image below, you pivot your newly normalized data into a Pivot Table. ( alt+n+v ). Now, simply adding a new assignment to the normal_assignment DataTable will cause that assignment to appear in a new column when you refresh the Pivot Table ( alt+a+r+a ).
The % score on the right of the Pivot Table is calculated using the following formula ( with the sample Pivot Table starting in cell $M$2 ): =GETPIVOTDATA("Score",$M$2,"Student",M4)/SUM(assignment[Points_Possible])
I've uploaded the raw sample file for this to my public repo if you'd like to pull it and take a peek at the source. Credit to sensefulsolutions for text-to-table conversion.
Hope this is what you need!
Related
Is there a way by using a DAX measure to create the column which contain text values instead of the numeric sum/count that it will automatically give?
In the example below the first name will appear as a value (in the first table) instead of their name as in the second.
Data table:
+----+------------+------------+---------------+-------+-------+
| id | first_name | last_name | currency | Sales | Stock |
+----+------------+------------+---------------+-------+-------+
| 1 | Giovanna | Christon | Peso | 10 | 12 |
| 2 | Roderich | MacMorland | Peso | 8 | 10 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 4 | 6 |
| 1 | Giovanna | Christon | Peso | 11 | 13 |
| 2 | Roderich | MacMorland | Peso | 9 | 11 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 5 | 7 |
| 1 | Giovanna | Christon | Peso | 15 | 17 |
| 2 | Roderich | MacMorland | Peso | 10 | 12 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 6 | 8 |
| 1 | Giovanna | Christon | Peso | 17 | 19 |
| 2 | Roderich | MacMorland | Peso | 11 | 13 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 7 | 9 |
+----+------------+------------+---------------+-------+-------+
No DAX needed. You should put the first_name field on Rows and not on Values. Select Tabular View for the Report Layout. Like this:
After some search I found 4 ways.
measure 1 (will return blank if values differ):
=IF(COUNTROWS(VALUES(Table1[first_name])) > 1, BLANK(), VALUES(Table1[first_name]))
measure 2 (will return blank if values differ):
=CALCULATE(
VALUES(Table1[first_name]),
FILTER(Table1,
COUNTROWS(VALUES(Table1[first_name]))=1))
measure 3 (will show every single text value), thanks # Rory:
=CONCATENATEX(Table1,[first_name]," ")
For very large dataset this concatenate seems to work better:
=CALCULATE(CONCATENATEX(VALUES(Table1[first_name]),Table1[first_name]," "))
Results:
+-------------+----------+----------+--------+------------------+
| customer_id | date | time | answer | missed_call_type |
+-------------+----------+----------+--------+------------------+
| 101 | 2018/8/3 | 12:13:00 | no | employee |
| 102 | 2018/8/3 | 12:15:00 | no | customer |
| 103 | 2018/8/3 | 12:20:00 | no | employee |
| 102 | 2018/8/3 | 15:15:00 | no | customer |
| 101 | 2018/8/3 | 18:15:00 | no | employee |
| 105 | 2018/8/3 | 18:18:00 | no | customer |
| 102 | 2018/8/3 | 19:18:00 | no | employee |
+-------------+----------+----------+--------+------------------+
I got a table whick looks like this and wanted to calculate average interval time for those who did not answer the phone.
for this example,the average interval time is:
{(18:15:00-12:13:00)+[(19:18:00-15:15:00)+(15:15:00-12:15:00)]/2}/2
the problem is I could only manipulate it in Excel...someone knows Excel please help!or any suggestion is fine,I am familiar with SQL.
I've entered your data as shown below, and added a time_to_next_call-column which calculates the interval until the next call to the same customer_id using the formula: =INDEX(C3:C$8,MATCH(A2,A3:A$8,0))-C2 for the first cell in the data set.
Then, list your customer IDs in a column, and use and AVERAGEIF-function to calcualte the average time_to_next_call for that customer_ID, as shown below:
As I've placed the customer_id 101 in cell A12, my function for calculating the average time_to_next_call is: =AVERAGEIFS($F$2:$F$8,$A$2:$A$8,A13,$F$2:$F$8,">0")
Adjust your ranges as appropriate to fit your workbook. Hope this helps
Good Afternoon,
I have an excel sheet that records encounters with community residents by name and date. During each encounter a brief survey is also administered. I want to track changes to these survey questions by name over time. Is there any way to do this with in cell formulas? Here's an example of the table I have in mind:
| Name | Date | Q1 | Q2 | Stress | Survey Number |
| | | | | | (calculated) |
|--------------|------------------|----|----|--------|---------------|
| Steve Rogers | 5/1/2018 | y | y | 5 | 1 |
| Steve Rogers | 5/2/2018 | y | y | 6 | 2 |
| Tony Stark | 5/1/2018 | n | n | 10 | 1 |
| Nick Fury | 5/1/2018 | n | y | 8 | 1 |
| Nick Fury | 5/2/2018 | y | y | 5 | 2 |
| Tony Stark | 5/2/2018 | y | n | 8 | 2 |
| Tony Stark | 5/3/2018 | n | n | 4 | 3 |
I want to calculate the survey number by referencing the name and the date. I have no idea where to start, honestly. Is this even possible using an in-cell reference?
Use COUNTIFS()
=COUNTIFS(A:A,A2,B:B,"<=" & B2)
Put that in F2 and copy/drag down.
I am trying to create a list of names that repeat a specific number of times, based on another variable. Basically, if I have the following:
Column A Column B
Amy 5
John 2
Carl 3
the result would be:
Amy
Amy
Amy
Amy
Amy
Carl
Carl
Carl
John
John
I have built the initial list using the Index-Small-Countif, method, to get an alphabetical and distinct list, and then another formula to determine how many times each item repeats. I know I need to use some sort of index/offset with reference to rows, but just can't quite get it to work out.
The list is dynamic and changes daily, so manually retyping the list each day would result in too much human error and time (list is about 50 distinct items, with total number of rows at the end being around 400). Ultimately, the list will be used for a number of sumproduct/vlookups.
I can do this fairly quickly in VBA, but the users of this document don't always trust VBA and trying to get them to Enable Macros each time is not something that is going to work.
Thank you very much for any help you can offer!
Based on your table:
+---+------+---+
| | A | B |
+---+------+---+
| 1 | Amy | 5 |
| 2 | John | 2 |
| 3 | Carl | 3 |
+---+------+---+
In column C stick a "0" at C4 and formula =B1+C2 copying down to just before the 0:
+---+------+---+----+
| | A | B | C |
+---+------+---+----+
| 1 | Amy | 5 | 10 |
| 2 | John | 2 | 5 |
| 3 | Carl | 3 | 3 |
| 4 | | | 0 |
+---+------+---+----+
Now we have an upper bound of the row that each value should be placed on which we can use in a Match() formula which will feed an Index() formula.
In a new column (I'm using E) IN E1: =INDEX($A$1:$A$3,MATCH(ROW(),$C$1:$C$3,-1),1) and copy down
+----+------+---+----+--+------+
| | A | B | C | D | E |
+----+------+---+----+--+------+
| 1 | Amy | 5 | 10 | | Carl |
| 2 | John | 2 | 5 | | Carl |
| 3 | Carl | 3 | 3 | | Carl |
| 4 | | | 0 | | John |
| 5 | | | | | John |
| 6 | | | | | Amy |
| 7 | | | | | Amy |
| 8 | | | | | Amy |
| 9 | | | | | Amy |
| 10 | | | | | Amy |
+----+------+---+----+--+------+
The list is backwards because of that oddball backwards from 0 thing we did in Column C. This is to make that Match() last parameter of -1 (Greater than) work correctly.
I would imagine with some tweaking this could be done a little cleaner, but this should get you in the ballpark.
Although I would still be a big proponent of finding users who are capable of enabling macros. Ugh.
Hi I am currently working on a project that contains individual information for each month and I want to build a table or two to contain the information(I don't want to create a table for each month). a simple illustration will be :
Jan
weight height
student a
student b
Feb
weight height
student a
student b
student c
what I what is just to export data to excel in the form of the above, weight, height column are fixed but I want to have data clustered by month so that the data organization is clearer.
May I ask how to design the database so that the abovementioned requirement could be met? Thanks.
Here are the tables you'll need to store the information:
students
id unsigned int(P)
name varchar(50)
+----+------+
| id | name |
+----+------+
| 1 | John |
| 2 | Mary |
| 3 | Tina |
| .. | .... |
+----+------+
In the measurements table the Primary Key is formed by the student_id, year and month. The student_id is also a foreign key to the students table.
measurements
student_id unsigned int(F students.id)-\
year unsigned int ----------------(P)
month unsigned int ---------------/
height unsigned int
weight unsigned int
+------------+------+-------+--------+--------+
| student_id | year | month | height | weight |
+------------+------+-------+--------+--------+
| 1 | 2013 | 11 | 70 | 200 |
| 2 | 2013 | 11 | 65 | 130 |
| 1 | 2013 | 12 | 70 | 192 |
| 2 | 2013 | 12 | 65 | 126 |
| 3 | 2013 | 12 | 68 | 140 |
| .......... | .... | ..... | ...... | ...... |
+------------+------+-------+--------+--------+
And then a query to extract the information:
SELECT name, height, weight, year, month
FROM students s
LEFT JOIN measurements m ON s.id = m.student_id
ORDER BY year, month, name
Which will give you:
+------+--------+--------+------+-------+
| name | height | weight | year | month |
+------+--------+--------+------+-------+
| John | 70 | 200 | 2013 | 11 |
| Mary | 65 | 130 | 2013 | 11 |
| John | 70 | 192 | 2013 | 12 |
| Mary | 65 | 126 | 2013 | 12 |
| Tina | 68 | 140 | 2013 | 12 |
+------+--------+--------+------+-------+
Which is the data you want, sorted in the way you want. Any further formatting of the data is up to your application.