I have a time-series data in my table. Sample Data given below:
+------+------------+-----------+-----------+-------------+-------------+
| CODE | YEAR_MONTH | CALC_LVL1 | CALC_LVL2 | MSRMT_PCT_1 | MSRMT_PCT_2 |
+------+------------+-----------+-----------+-------------+-------------+
| A1 | 201912 | 87 | 564 | 0.14 | 0.1 |
| A1 | 201911 | 34 | 455 | 0.15 | 0.08 |
| A1 | 201910 | 20 | 295 | 0.1 | 0.14 |
| A1 | 201909 | 39 | 219 | 0.08 | 0.14 |
| A1 | 201908 | 98 | 438 | 0.14 | 0.11 |
| A1 | 201907 | 7 | 219 | 0.08 | 0.14 |
| A1 | 201812 | 63 | 564 | 0.14 | 0.17 |
| A1 | 201808 | 12 | 455 | 0.15 | 0.13 |
| A1 | 201805 | 48 | 409 | 0.13 | 0.13 |
| A1 | 201802 | 88 | 289 | 0.11 | 0.08 |
| A1 | 201801 | 9 | 492 | 0.14 | 0.13 |
+------+------------+-----------+-----------+-------------+-------------+
Is there any way that the default chart shows me the year values, and when user clicks on a year label, then it shows monthly data?
I am assuming you are looking for Time Axis chart where the chart label is mapped to the DATE or TIMESTAMP column. In the chart attributes, set the Time Axis Type to Enabled. Labels will then be correctly rendered as readable dates. You can then build another chart or report that can be drilled down from this chart. To do this, navigate to the chart, select the series and then in the property editor, navigate to Column Mapping. Select the column names for LABEL and VALUE. For Link > Type, select Redirect to Page in this application. Click Target, select the page and set page item and value.
Related
I am working on Cost of goods sold using Powerbi.
https://www.mediafire.com/file/pmb7u1thsag1kq1/Cost+of+goods+sold.pbix/file
Above is my file which i uploaded on mediafire.
i am taking the average price by using average function year wise.
If you see in File.
| GName | Year | Opening Stock | InQty | OutQty | InItemValue | Average Value | Closing Stock | Closing Stock Value | Opening Stock Value | Cost of Goods Sold |
|-------------|------|---------------|-------|--------|-------------|---------------|---------------|---------------------|---------------------|--------------------|
| Bahria Town | 2016 | | 4454 | 3586 | 126610299.8 | 28426.20113 | 868 | 24673942.58 | 0 | 101936357.2 |
| Bahria Town | 2017 | 868 | 6379 | 6547 | 166903971.5 | 23030.76743 | 700 | 16121537.2 | 0 | 150782434.3 |
| Bahria Town | 2018 | 700 | 9129 | 8709 | 271932546.3 | 27666.3492 | 1120 | 30986311.11 | 0 | 240946235.2 |
| Bahria Town | 2019 | 1120 | 9333 | 9393 | 313226466.8 | 29965.22212 | 1060 | 31763135.45 | 0 | 281463331.4 |
| Bahria Town | 2020 | 1060 | 10192 | 10136 | 362950101.2 | 32256.49673 | 1116 | 35998250.35 | 0 | 326951850.8 |
| Bahria Town | 2021 | 987 | 8882 | 8468 | 404199067.4 | 40956.43605 | 1530 | 62663347.16 | 0 | 346819100.5 |
In Above as you can see i just took the Average Value
Average Value = ([Opening Stock Value]+[initemvaluee])/([inqtyy]+[Opening Stock])
and closing stock value
Closing Stock Value = [Average Value] * [Closing Stock]
When i calculate the closing stock value of previous year its give me error.
circular dependency was detected: Measure: 'mak_stockInHandValue'[Average Value], Measure: 'mak_stockInHandValue'[Opening Stock Value], Measure: 'mak_stockInHandValue'[Average Value].
Any Suggestion to see the closing stock value in the field of opening stock value ?????
I am working on this from more than 2 weeks.
Please help me out
Thanks in advance
Could you please help me to solve the problem as I am totally new to DAX and English is not my first language so I am struggling to even find the correct question.
Here's the problem.
I have two tables:
start_balance
+------+---------------+
| Type | Start balance |
+------+---------------+
| A | 0 |
| B | 10 |
+------+---------------+
in_out
+------+-------+------+----+-----+
| Year | Month | Type | In | Out |
+------+-------+------+----+-----+
| 2020 | 1 | A | 20 | 20 |
| 2020 | 1 | A | 0 | 10 |
| 2020 | 2 | B | 20 | 0 |
| 2020 | 2 | B | 20 | 10 |
+------+-------+------+----+-----+
I'd like to get the result as follows:
Unfiltered:
+------+-------+------+---------+----+-----+------+
| Year | Month | Type | Balance | In | Out | Left |
+------+-------+------+---------+----+-----+------+
| 2020 | 1 | A | 0 | 20 | 20 | 0 |
| 2020 | 1 | B | 10 | 20 | 10 | 20 |
| 2020 | 2 | A | 0 | 20 | 10 | 10 |
| 2020 | 2 | B | 20 | 20 | 10 | 30 |
+------+-------+------+---------+----+-----+------+
Filtered (for example year/month 2020/2):
+------+-------+------+---------+----+-----+------+
| Year | Month | Type | Balance | In | Out | Left |
+------+-------+------+---------+----+-----+------+
| 2020 | 2 | A | 0 | 20 | 10 | 10 |
| 2020 | 2 | B | 20 | 20 | 10 | 30 |
+------+-------+------+---------+----+-----+------+
So while selecting a slicer for the year/month it should calculate balance before selected year/month and then show selected year/month values.
Edit: corrected start_balance table.
Is the sample data correct?
A -> the starting balance is 10, but in your unfiltered table example, it is 0.
Do you have any relationship between these tables?
Does opening balance always apply to the current year? What if 2021 appears in the in_out table? How do you know when the start balance started?
example without starting balance
If you want to show value breaking given filter you should use statement ALL or REMOVEFILTERS function (in Analysis Services 2019 and in Power BI since October 2019).
calculate(sum([in]) - sum([out]), all('in_out'[Year],'in_out'[Month]))
More helpful information:
https://www.sqlbi.com/articles/managing-all-functions-in-dax-all-allselected-allnoblankrow-allexcept/
I've spend hours trying different combinations of SWITCH(True...) and subtractions to correctly calculate this but cannot find a solution.
For example, I have the following thresholds for X amount of hours:
0-400: 10%
401-1000: 17%
1001-1300: 20%
1301-1675: 25%
1675-2500: 30%
2501 and above: 35%.
Please find below a simple example breakdown:
| Hours | 10% | 15% | 20% | 25% | 30% | 35% |
|-------|-----|-----|-----|-----|-----|-----|
| 1400 | 400 | 600 | 300 | 100 | | |
| 2600 | 400 | 600 | 300 | 375 | 825 | 100 |
| 3000 | 400 | 600 | 300 | 375 | 825 | 500 |
| Year | MonthNo | Hours | Amount |
|------|---------|-------|--------|
| 2020 | 8 | 970 | 48500 |
| 2020 | 7 | 1400 | 70000 |
| 2020 | 6 | 2600 | 130000 |
| 2020 | 5 | 3000 | 150000 |
The first 2 are easy to accomplish but I cannot cover all the rules. How can accomplish this in DAX and multiply by the correct percentage?
There is no percentage table, the percentage's would be applied to the amount as a rebate and then added up according to the thresholds. E.g:
+-------------+------+------+------+--------+-------+-----+-----+
| Percentages | | 10% | 15% | 20% | 25% | 30% | 35% |
+-------------+------+------+------+--------+-------+-----+-----+
| Hours | 1400 | 400 | 600 | 300 | 100 | | |
| Amount | 7000 | 2000 | 5100 | 3000 | 1500 | | |
| | | | | rebate | 11600 | | |
+-------------+------+------+------+--------+-------+-----+-----+
I am having a hard time getting the following measure to work. I am trying to change the target based on a date filter. My filter is the Workday columns, where Workday is a standard date column. sMonth is a month columns formatted as whole number. I am looking to keep the slicer granular, in order to work by day, adding custom columns with month and year and basing the measure on those would help. This is what I have tried and couldn't get it to work:
Cars Inspected =
VAR
selectedMonth = MONTH(SELECTEDVALUE('All Cars Inspected'[Workday]))
RETURN CALCULATE(SUM(Targets[Target]),
FILTER(Targets,Targets[Location]="Texas"),
FILTER(Targets,Targets[Description]="CarsInspected"),
FILTER(Targets,Targets[sMonth]=selectedMonth))
I would appreciate if someone would suggest a different way of achieving the same result.
LE:
This is a mock-up of what I am trying to achieve:
The total cars get filtered by the Workday. I would like to make the Targets/Ranges dynamic. When the slider gets adjusted everything else is adjusted.
My tables look like this:
+-----------+--------------------+----------+
| Workday | TotalCarsInspected | Location |
+-----------+--------------------+----------+
| 4/4/2017 | 1 | Texas |
| 4/11/2017 | 149 | Texas |
| 4/12/2017 | 129 | Texas |
| 4/13/2017 | 201 | Texas |
| 4/14/2017 | 4 | Texas |
| 4/15/2017 | 6 | Texas |
+-----------+--------------------+----------+
+----------+--------+----------+---------------+--------+-----+--------+
| TargetID | sMonth | Location | Description | Target | Red | Yellow |
+----------+--------+----------+---------------+--------+-----+--------+
| 495 | 1 | Texas | CarsInspected | 3636 | 0.5 | 0.75 |
| 496 | 2 | Texas | CarsInspected | 4148 | 0.5 | 0.75 |
| 497 | 3 | Texas | CarsInspected | 4861 | 0.5 | 0.75 |
| 498 | 4 | Texas | CarsInspected | 4938 | 0.5 | 0.75 |
| 499 | 5 | Texas | CarsInspected | 5094 | 0.5 | 0.75 |
| 500 | 6 | Texas | CarsInspected | 5044 | 0.5 | 0.75 |
| 501 | 7 | Texas | CarsInspected | 5043 | 0.5 | 0.75 |
| 502 | 8 | Texas | CarsInspected | 4229 | 0.5 | 0.75 |
| 503 | 9 | Texas | CarsInspected | 4311 | 0.5 | 0.75 |
| 504 | 10 | Texas | CarsInspected | 4152 | 0.5 | 0.75 |
| 505 | 11 | Texas | CarsInspected | 3592 | 0.5 | 0.75 |
| 506 | 12 | Texas | CarsInspected | 3748 | 0.5 | 0.75 |
+----------+--------+----------+---------------+--------+-----+--------+
Let the Value for your gauge be the sum of TotalCarsInspected and set the Maximum value to the following measure:
Cars Inspected =
VAR selectedMonth = MONTH(MAX('All Cars Inspected'[Workday]))
RETURN LOOKUPVALUE(Targets[Target],
Targets[Location], "Texas",
Targets[Description], "CarsInspected",
Targets[sMonth], selectedMonth)
I have a multi-thousand rowed data frame, part of which include data like the below. I also have additional columns ["FP","Y","SLC","C_ID","NR"] in this data frame.
z_to_s | z_to_t | s_to_t | t_p | min | max
0.04 | | 0.06 | 0.29 | 0.04 | 0.29
0.01 | | NS | NS | 0.01 | 0.01
ND | | NS | NS | ND | ND
0.04 | | ND* | NS | ND* | 0.04
| 0.55* | | | 0.55 | 0.55
19.88* | | 0.46 | 0.09 | 0.09 |19.88
The "min" and "max" columns each denote minimum and maximum values from the "z_to_s", "z_to_t", "s_to_t", and "t_p" columns. ND or ND* is always considered the minimum while NS is ignored. I need to maintain the original form of the input data so my final output should look like this:
z_to_s | z_to_t | s_to_t | t_p | min | max
0.04 | | 0.06 | 0.29 | 0.04 | 0.29
0.01 | | NS | NS | 0.01 | 0.01
ND | | NS | NS | ND | ND
0.04 | | ND* | NS | ND* | 0.04
| 0.55* | | | 0.55* | 0.55
19.88* | | 0.46 | 0.09 | 0.09 | 19.88*
To do this, I've been trying to use the below code to formulate new columns called "QC_min" and "QC_max"
df["QC_min"] = df.drop(["FP","Y","SLC","C_ID","NR","min","max"], axis = 1).isin(data_concat["min"]).any(axis = 1)
df["QC_max"] = df.drop(["FP","Y","SLC","C_ID","NR","min","max"], axis = 1).isin(data_concat["max"]).any(axis = 1)
so "QC_min" and "QC_max" has TRUE/FALSE values depending on "min"/"max" matching any one of the ["z_to_s","z_to_t","s_to_t","t_p"] column values. I want to write another line of code so if "QC_min" or "QC_max" is FALSE, I add a "*" to the end of the corresponding "min" or "max" value. However, the output from the above code shows up like this.
z_to_s | z_to_t | s_to_t | t_p | min | max | QC_min | QC_max
0.04 | | 0.06 | 0.29 | 0.04 | 0.29 | FALSE | FALSE
0.01 | | NS | NS | 0.01 | 0.01 | FALSE | FALSE
ND | | NS | NS | ND | ND | TRUE | TRUE
0.04 | | ND* | NS | ND* | 0.04 | TRUE | FALSE
| 0.55* | | | 0.55 | 0.55 | FALSE | FALSE
19.88* | | 0.46 | 0.09 | 0.09 | 19.88 | FALSE | FALSE
where all the number objects show up as false regardless of whether they match or not, while the string objects are true. I have checked my data type, wondering if this was a data type int/float/str issue. If I add an astype(str) to my "min" or "max" so my code becomes
df["QC_min"] = df.drop(["FP","Y","SLC","C_ID","NR","min","max"], axis = 1).isin(data_concat["min"]).astype(str).any(axis = 1)
df["QC_max"] = df.drop(["FP","Y","SLC","C_ID","NR","min","max"], axis = 1).isin(data_concat["max"]).astype(str).any(axis = 1)
everything becomes TRUE, regardless of the *, like this:
z_to_s | z_to_t | s_to_t | t_p | min | max | QC_min | QC_max
0.04 | | 0.06 | 0.29 | 0.04 | 0.29 | TRUE | TRUE
0.01 | | NS | NS | 0.01 | 0.01 | TRUE | TRUE
ND | | NS | NS | ND | ND | TRUE | TRUE
0.04 | | ND* | NS | ND* | 0.04 | TRUE | TRUE
| 0.55* | | | 0.55 | 0.55 | TRUE | TRUE
19.88* | | 0.46 | 0.09 | 0.09 | 19.88 | TRUE | TRUE
Where am I going wrong? Suggestions on how to fix this/do what I want to do would be much appreciated. Thanks.