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In this blog post, we will deal with some troublesome issues in time intelligence, particularly those issues caused by week granularity and the troubles that can be caused by the irregular number of weeks in a year. We’ll use offsets to come up with accurate time intelligence in DAX.

We have an interesting scenario for you today. This came up a couple of times recently in the Enterprise DNA forum. What people wanted to do was to take a visual (which could be a line graph or a bar chart) and vary it dynamically on the start date. You can watch the full video of this tutorial at the bottom of this blog.

There are a number of reasons why you might want to do this technique. You can use this if you have a metric that is constantly being readjusted in terms of how it’s calculated. You might only want to show the data from the period of the readjustment forward.

In this visual, we can change the start date month by month to show how it changes in a 12-month period over time. This an interesting and useful visual for different business cases, but theoretically, it also represents a number of key issues related to DAX and data modeling.

Let’s go to Power BI and look at our data model first. This is a really simple data model with an extended dates table and a spot price table connected to the dates.

One of the things we’ll work on is offsets. The offsets in the extended date table are calculated dynamically. Each time the report is either refreshed or opened, it goes through the M code. For example in a monthly offset, it assigns the current month with 0, the previous month with -1, and two months back with -2. Looking forward in the future, it assigns the next month +1, and for two months in the future +2.

This is a simple concept but incredibly powerful when you’re dealing with time intelligence in DAX and working with months, quarters, and weeks. If you’re not using an offset, it creates a fair amount of complexity sometimes in your calculations.

Using offsets means using a continuous series of numbers where going back a month is always -1 and going forward a month is always +1 regardless of where in the year you might be.

In the past, I’ve talked about rubber ducking, which is verbalizing your strategy out loud before you start writing your DAX.

I’m thinking out loud on how I will handle this from a monthly context using time intelligence in DAX. I would start something based on the year and the month selected, and select those using a disconnected table, because if you think about it, every other selection will involve crossing years (with the exception of January).

Let’s say we want 12 months starting in March, we’ll end up with at least two months in the subsequent year. If we use a connected slicer, we can only filter for that year and won’t be able to filter into the next year.

Let’s do this with a connected table for both the month and the year. First, we need to harvest the first offset that deals with the starting date.

And then we want to move that offset forward by 12 months, and then only look at the dates that are within that set of offsets. Let me show you what that looks like in DAX.

This is our measure for Within Range Monthly, where we select our year (which we harvested from the disconnected year table) and our month (which we harvested from the disconnected month table).

We also have this other parameter where if there’s no selection made, it will default to January. This parameter is primarily just for debugging purposes.

Let’s look at the starting month offset by calculating the MAX offset. We remove all the filters on the dates table, and filter down to the selected month and selected year. For each month, there should be only one offset that corresponds to that month and year.

From that point, we can take the ending month offset, which is just the starting month offset + 11 months.

And then we look at each selected date and determine whether it falls within the initial month offset and the end month offset. if it falls within that period, we give it a 1 and if not, we give it a 0.

Let’s see how this looks like from a weekly standpoint. The visual initially starts okay and goes from week 1 to week 52. So far, so good.

We have a starting period of year 2023 and week 15, but the ending period is year 2023 and week 13 instead of year 2023 and week 14.

If we go back to week 1, we can see that it starts out okay, but ends at week 52. If we look at week 53 calculation here, the max week number for 2023 and 2023 is 53 weeks. This is not going to work for weekly granularity.

Let’s see what we can do to make this work. We need to fix the DAX calculation right here in this part:

This is because for some cases, 51 is correct when there are only 52 weeks in a year, but for the year where there are 53 weeks, it will leave off that last period. This is exactly what we saw in the dynamic visual for weeks, where the calculation removed that final period in years 2023 and 2023.

To fix this, we go to the Within Range Weekly Wrong measure, which actually looks simpler than the earlier measure. We had a starting offset measure and calculated the max offset. Then we stripped the filter off of dates, and then imposed the filter on selected week and selected year with the assumption that this would lead to the correct offset.

But this doesn’t work because it would not matter if you’re using a max offset or a min offset. All we’re doing is wrapping an aggregator around so that we’re not putting a naked column in a CALCULATE statement.

But if we go back here to the ISO WeekNumber, we can see that a year and a week number do not uniquely determine a weekly offset in that first period.

I came up with a bulletproof way of doing this. You could use MIN, but it makes more sense to create this Week1 Offset measure. In order to get the week 1 offset, we’re dealing with week 2 because it never gets split. Regardless of whether there are 52 or 53 weeks in the year, week 2 stays intact.

In this calculation, we are filtering down to week 2 to get the offset. And then once we get that week 2 offset, we just subtract one from it. This will unambiguously give us the week 1 offset. This ends up solving our problem.

And then we go back to our Within Range Weekly measure, and write an IF statement where if the harvest number is for week 1, we calculate the week one offset. If it’s not week 1, we just calculate the starting week offset as we did in the previous monthly calculation.

And then the ending week offset will be the beginning week offset + the max week number which could either be 52 or 53. Then we just subtract 1 so as not to double count the starting offset.

We can do the same construct that we used for the monthly range to filter the weeks, where anything that falls between the beginning and the ending offset gets a 1, and anything that doesn’t get a 0.

Then we’re going to place the Within Range Weekly measure into the filter pane. Everything checks out and looks exactly right.

This is a pretty deep dive into time intelligence in DAX, where we discussed how we can address some of the problems surrounding week numbers. I hope you found this tutorial helpful and provided you with some additional tools in your toolbox when you’re dealing with a problematic week situation.

If you enjoyed the content covered in this particular tutorial, please don’t forget to subscribe to the Enterprise DNA TV channel. We have a huge amount of content coming out all the time from myself and a range of content creators, all dedicated to improving the way that you use Power BI and the Power Platform.


You're reading Time Intelligence In Dax: How To Dynamically Select Starting Period

How To Select Multiple Photos In Lightroom (Shortcuts)

Are you still working with just one photo at a time in Lightroom? Whether organizing, editing, comparing, or syncing, doing it one photo at a time can be time-consuming. 

Hey there! I’m Cara and if you don’t know how to select multiple photos in Lightroom, I’m about to blow your mind! And save you countless hours in Lightroom. 

In this article, you’ll learn how to select multiple photos at once in Lightroom. You can use the keyboard shortcut to select or manually select photos that you want to export, batch edit, or delete. 

Note:‌ ‌the‌ ‌screenshots‌ ‌below‌ ‌are‌ ‌taken‌ ‌from‌ ‌the‌ ‌Windows‌ ‌version‌ ‌of‌ Lightroom ‌Classic.‌ ‌If‌ ‌you‌ ‌are‌ ‌using‌ ‌the‌ ‌Mac‌ ‌version,‌ ‌they‌ ‌will‌ ‌look‌ ‌slightly‌ ‌different.‌ 

Shortcuts to Select Multiple Photos in Lightroom

If you know how to select multiple photos in your operating system’s file browser, you’ve already won the battle. It’s basically the same when you mass select photos in Lightroom.

Select Consecutive Images

Select Individual Images

Select All Images

Press Ctrl + A (Windows) or Command + A (macOS) to quickly select all the images in the active folder or collection.

Where to Select Multiple Photos in Lightroom

These are the basic shortcuts and they work in all the Lightroom modules. However, where you select the photos from will change slightly.

Library Module

What’s the easiest way to select a large number of photos? Use the Grid view in the Library Module.

From anywhere in Lightroom press G on the keyboard to jump to this view and module. If you’re already in the Library module, you can press the Grid button in the bottom left corner of the workspace. 

When the grid opens, you will see the photos in your active folder or collection displayed in a grid format. You may also see the same photos displayed in a filmstrip across the bottom.

Use the keyboard shortcuts as we described to select your desired images in the grid. Shift for consecutive images, Ctrl or Command for non-consecutive ones. 

Other Lightroom Modules

None of the other Lightroom modules have this handy grid for viewing photos. However, they all have the filmstrip at the bottom. Toggle it on with the arrow, if necessary. 

You can select photos from the filmstrip using the same shortcuts we’ve discussed. Scroll down with your mouse hovering over the filmstrip to scroll to the right and access all the photos. 

How to Select Multiple Photos to Import in Lightroom

Selecting photos on the import screen also looks a little different. This is an important place to learn how to select multiple photos as you will need this trick nearly every time you enter Lightroom.

Step 1: In the Library module, press the Import button near the bottom left of the screen.

On the left side of the screen, select the folder which you would like to import the photos from. 

Any photos not already imported into Lightroom will appear in the grid with checkmarks in the top left corners. The checkmark indicates the photo has been selected for import into Lightroom.

If you want to only import specific photos, press the Uncheck All button near the bottom of the screen.

Step 2: Select the photos you want to import as usual. Hold Shift to select consecutive images and Ctrl or Command for non-consecutive selections.

However, if you stop here, these images will not be imported into Lightroom when you press the Import button. The images have to have a checkmark in the top left corner. 

Step 3: Hit the Import button on the right, and all your selected images will be imported into Lightroom.

Super easy, right? 

Lightroom makes it very easy for photographers to work with a large number of images at once. After all, some of us work with hundreds of images at once and manage collections of several thousand images. We need all the help we can get to do those tasks quickly!

Curious about other helpful tools in Lightroom? Check out our tutorial on the soft proofing feature and never print an oddly-colored image again!

How To Select Text Input Fields Using Css Selector?

Selecting text input fields using CSS selectors is a powerful and crucial tool for styling and targeting the specific elements on the webpage. Text input fields are an essential part of any web form that requires users to provide input. As a web developer or designer, we may need to select text input fields using CSS selectors to apply styling to them. If we want to change the font color, background color, or add custom styles to the input fields, it is important to understand how to select them using CSS selectors.

Structure of a text input field

In the above code −

type=”text” specifies that this is a text input field.

name=”user-name” sets the attribute of the input field, which is used to identify the input when the form is submitted.

id=”user-id” sets the ID attribute of the input field, which is used to identify the input for styling and scripting purposes.

value=”initial-value” sets the initial value of the input field. This is optional and can be left out.

placeholder=”Enter username” sets a placeholder text that appears inside the input field to give the user an idea of what to enter.

Using the element selector to select all text input fields

The easy way to select all text input fields on a web page is to use the element selector. Text input fields are HTML elements that allow users to enter text, such as their name, email address, or password. These elements are typically created using the “input” tag with the “type” attribute set to “text”, “email”, “password”, or “search”. To select all text input fields, we can use the following CSS selector −

input[type="text"], input[type="email"], input[type="password"] { /* write your CSS Code */ }

This selector targets all input fields with a “type” attribute set to “text”, “email”, or “password”. The comma between the selectors means that all the selectors will receive the same styles.

Example 1: Selecting text input fields using type attribute

In this example, we use the type attribute selector to select all text input fields in the form. The CSS styles are applied to all text input fields with the attributes type=”text”, type=”email”, and type=”password”. The border, padding, font-size, and margin-bottom styles are applied to these input fields.

body { text-align: center; } input[type=”text”], input[type=”email”], input[type=”password”] { border: 2px solid lightgray; padding: 12px; font-size: 18px; margin-bottom: 15px; }

Using the ID selector to select a specific text input field

We can use the ID selector to target a specific text input field. The ID selector is represented by the “#” character followed by the value of the ID attribute of the HTML element. For example, if we have an HTML element with the ID attribute set to “username”, we can select it using the following CSS selector −

#username { /* Write CSS rules here */ } Example 2: Selecting text input fields using ID attribute.

In this example, we use the ID attribute selector to select three text input fields with IDs name, email and password. The CSS styles are applied to these three input fields. The border-radius, and background-color styles are applied to these input fields.

body { text-align: center; } input[type=”text”], input[type=”email”],input[type=”password”] { border: 2px solid lightgray; padding: 12px; font-size: 18px; margin-bottom: 15px; } #name, #email{ background-color: lightgreen; border-radius:10px; }

Using the class selector to select multiple text input fields

If we have multiple text input fields with similar styling or functionality, we can use the class selector to target them. The class selector is represented by the “.” character followed by the value of the class attribute of the HTML element. For example, if we have multiple HTML elements with the class attribute set to “input-field”, we can select them using the following CSS selector −

.input-field { /* write CSS rules here */ }

This selector targets all HTML elements with the class attribute set to “input-field”.

Example 3: Selecting text input fields using class attribute

In this example, we use the Class attribute selector to select three text input fields with the class name, email, and password. The CSS styles are applied to these three input fields. The border-radius, and background-color styles are applied to these input fields.

body { text-align: center; } input[type=”text”], input[type=”email”], input[type=”password”]{ border: 2px solid lightgray; padding: 12px; font-size: 18px; margin-bottom: 15px; } .password, .search{ background-color: lightgreen; border-radius:10px; }


Selecting text input fields using CSS selectors is a simple process once we understand the structure of a text input field and the different CSS selectors available. By using the appropriate CSS selector, we can easily target and style text input fields to enhance the user experience of the web forms.

July: The Ultimate Planning Period

That said, there’s a thin line between two months of respite and losing ground in your craft. Slumbering for the summer and then expecting to flip the light switch that turns everything on for the first professional development meeting at your school or district can do more harm than good. And since June itself is often full of close-outs, meetings, and general exhale, that leaves . . . well, July.

And for good reason. The workload of any teacher or administrator can be difficult for those outside of education to fully appreciate.

Though it can be tempting to put the next school year off until last possible day, it doesn’t have to be that way. You can still relax, make your own schedule, and “play” enough to free some creativity from the vise grip of a taxing schedule.

While you likely have your own checklist for opening the school year, below are five ideas to help you stay on top of your game without completely spoiling the oasis of summer.

1) Review and Refine Instructional Design

While classroom management, grading tips and collegial relationships get a lot of ink, instructional design is a teacher’s real best friend. The opportunities you provide for learners to understand and master new content are the very heart of what we do as educators, and nowhere else is it as accessible as July.

The school year itself is full of grading, reporting, refining and communication. Matters of design are best tackled when you have both time and a bit of spark. No matter what you use during the year — thematic units; project-based learning; direct, genre-based instruction; online learning; a flipped classroom — now is the time to look at what you’ve done and tweak it. Differentiate it, personalize it, make it more authentic, offer more learner voice-and-choice, increase the potential rigor, alter how you activate prior knowledge — whatever it takes to evolve your craft.

2) Verify Curriculum

Academic standards change — and recently, they’ve changed often. Whether you’re operating from the Common Core or working to fold in NCTE, P21, or other local learning standards, knowing your curriculum is (obviously) critical. And this goes past keeping up with whatever changes have been handed down from above — it’s about looking at the content you deliver with fresh eyes, which can be difficult.

Find a different way to read the standards this time. For example, highlight them with three different colors: one for standards or specific language you might have missed in the past; one for potential power standards; and one for standards that may offer collaboration opportunities with other content area teachers.

3) Check-in with Your Digital PLN

Whether you’re officially checking in with your personal learning network, or simply pinging the PLN you use every day via Twitter or your favorite blog or Ning, ongoing involvement with other educators can help with suggestions #1 and #2. For example, get a teacher from another grade level, state or content area to have a look at one of your units or assessments.

And when you do, be open to their thinking.

4) Building and District-level Collaboration

Team meetings can help ease the anxiety of starting a new school year, no matter how relaxing it is to have your toes in the sand. Classroom management, rewards, scheduling and other areas that can really obscure the curriculum and instruction — e.g., the learning — can be taken on at the local Starbucks, or even via Edmodo or Google+, so that when you do show up at your local brick-and-mortar, there’s less on your plate.

5) Visit with Incoming Students

Home visits are incredible ways to better understand not just the “city” your learners come from, but the specific neighborhood and house. And it can be eye-opening.

Home visits by educators usually begin with a district or school-level initiative. Postcards sent out a week or so ahead of time let families know when to expect you, and you’ll usually go with at least one other teacher, if not two or three. This is probably not the kind of thing to jump in your car and try on a whim. (That’s more than a little weird.)

But if it’s on the summer agenda for your school and you’ve never done it before, this is something to look forward to. Visits like these can establish relationships that will go miles in the classroom.

This Won’t Be on the Test

However you spend your summer, don’t forget to relax. The numbered items above aren’t supposed to be another stressful checklist. They’re just big ideas to help you make sure that, come opening bell, your classroom whirs on like the rigorous, personalized, digital and authentic machine it is.

If you can start with the big ideas first — instructional design, curriculum, collaboration, and the learners themselves (especially if you can reach out to them in an out-of-school context) — it’s much easier to swallow when four out of your first five planning periods are brutalized by meetings, phone calls, and enough paperwork to keep Dunder Mifflin in the black.

Give it a shot for 90 minutes a day. The sun and sand will be there when you’re finished.

Comparing Calculated Columns And Dax Measures In Power Bi

In this tutorial, I will cover the two places where you can write your DAX formulas. These two places are the calculated columns and measures. You may watch the full video of this tutorial at the bottom of this blog.

I will go over each one at a time and I’ll start with calculated columns.

A calculated column is an additional column that doesn’t exist in your raw data source.

This means that we need to add it physically to your data table.

To do this, you put some DAX formula logic into a column to create that additional column. This is very similar to working in Excel and you want to add another column with a formula.

In this example, we will use this fact table that contains all the sales that we’re making in our retail stores and we will add the price of the product.

The price actually already exists in the Products Table here, where we have the Original Sales Price and Current Price.

But to show you how to create a calculated column, I’m also going to add this to the Sales Table.

In a lot of these examples, especially with calculated columns, you don’t actually need to create these columns.

If you’re coming from an Excel background, then you might think you have to, but you don’t have to in Power BI. I’m only doing this to show you what a calculated column is.

But later on, I’m going to show you how you can actually use measures to run these calculations versus adding a physical column inside the data table.

So let’s add the Price here just as our first example.

To create a calculated column, open the Modeling ribbon and select New Column.

I’m going to write some pretty simple logic here to get the Price into this column. I’ll call it Sales Price and then use the RELATED function to reference a column name.

In this case, I’m going to reference the Current Price column. That’s going to give me a sales price for every single item that was sold.

The RELATED function is bringing in the price of each individual product.

And then we could write a new column here and call it as Total Revenue. We use the formula:

Total Revenue = Sales[Quantity] * Sales[Sales Price]

These are just some examples of how you can create a calculated column.

You can also create calculated columns in any table in your data model. It doesn’t have to be just the fact table or the sales table. It can be inside of your LOOKUP Tables as well.

For example, we jump to this detailed Dates Table. Think of these columns as the columns that are going to be filters of your DAX measures.

As I look at this table, I see that there is a dimension here that does not exist currently, which I might want to put into some of my visualisations.

To showcase another way of creating a calculated column, I will use the MonthName column.

The MonthName here is the full month, but I only want the first three letters of each month.

So I’m gonna go to New Column in the Modeling ribbon and call this column as Short Month.

I’m gonna use some logic that you might be familiar with from Excel. I’m going to use LEFT, then find my month name, and I’m going to only use the first three letters of that month name.

Now if we go across to the side, we will see the Short Month column, where we only have the first three letters of each month.

I like to call this adding additional dimensions to analysis because we essentially created another filter that we can use throughout any of our analysis that we do from here on out.

If we go back to the data model, you will see that the Short Month column now exists in our Dates Table and it can filter anything that we do down inside this Sales table.

So if we will run a calculation and count up the quantity, we can now filter it by the Short Month.

I would like to reiterate that it is not recommended that you create these columns in here because we can actually create all of these calculations in memory. 

Through creating measures, we can do these internal calculations without having to put them physically inside the table.

That’s a key thing to remember as you learn how to write DAX formula on top of your data tables.

Now let’s talk about measures.

Think about measure as a virtual calculation. It doesn’t actually sit inside your model, but it sits on top of your model.

When you use a measure, it only goes and does a calculation at the time that you use it.

In Excel, every time you run a calculation in the column or in any cell, it recalculates all the time. But in Power BI, a measure only calculates itself when it needs to.

A measure is like a stored calculation procedure that only gets enabled if you use it in a visualization.

So let’s create a simple measure to highlight that point. First, I’m going to select the Sales Table and then select any column in there.

I’ll put in Total Quantity Sold to get the sum of the Quantity column in the Sales table.

Now we have this really simple measure, and it is virtually completing its calculation.

It is also calculating everything in memory. In other words, this is calculating the total items that we have sold throughout the time.

The key thing to remember here is that this measure is just stored inside our model, but it doesn’t actually go and run any calculation, unless we drag it on our report page. Then it will go and run the calculation virtually.

So in this case, this measure is virtually going to the Sales table, going to the Quantity column in that table, and then doing a sum over that entire column.

This is actually called an aggregation measure, which we’ll be going over shortly.

Now I’m going to create a new measure and I’m going to call this as Total Sales. Then I’ll use the iterating function called SUMX, which I’ll explain in another model shortly.

I referenced the Sales table, and come up with this formula:

Total Sales = SUMX( Sales, Sales[Quantity] * RELATED( Products[Current Price] )

If you remember, we didn’t physically put this RELATED current price inside the data table. But in this case, I’m virtually putting it inside the data table by incorporating it in this measure.

Then the iterating function SUMX goes to the Sales table and picks every single row in the table multiplied by the quantity by the related current price.

This Total Sales will now give me a result.

You can also do the formatting in the Modeling tab, where your Data type is at the top.

We went over calculated columns and measures, where you can write your DAX formula.

The key thing with calculated columns is that you are physically putting a column of data into your model. If you do that sometimes on some of your larger tables, those can be very large columns.

It is important to recognize that these calculated columns can take up a lot of memory in your model.

They can make your file size larger, and they can sometimes impact performance depending on how big the table is.

But you can counteract this by using measures effectively to run a lot of these calculations virtually. You will still get the same results that you would get by writing these calculated columns.

I hope that this tutorial makes it a lot clearer for you the two places where you can write your DAX formula in and the considerations when writing DAX formulas.

This will also help you understand how to incorporate DAX into your analysis within Power BI.

Enjoy reviewing this one.


Creating A Pareto Chart In Power Bi – Advanced Dax

I’ll show you how to use a combination of formulas to be able to generate a visualization like this one.

The first thing that I always recommend when working on something similar with this analysis is to turn the visualization into a table. This way, you can really examine the numbers that are needed to generate the said visualization.

For this scenario, you first need to create a cumulative total to get the Total Revenue amount. As you can see, there are no dates and numbers. Therefore, it will be challenging to generate a cumulative total that’s based on text value instead of numbers. I’ll teach you how to do this step by step.

The first thing that I’m going to show you is the calculation for cumulative total without dates.

The technique here is to use the SUMX function as well as an iterator like the FILTER function. The FILTER function goes inside the SUMX. After that, you need to create a virtual table using the SUMMARIZE function.

The virtual table needs to look at all the sales inside the selected date context. After that, it should go through the specific state codes inside the table.

The said part of the formula will create a table exactly like the sample table. The only difference is it’s creating the table virtually for now.

The next part of the formula will create another virtual table for the revenue. But because this logic is inside a filter, it manipulates the table virtually to create a cumulative total. The formula should iterate through every row and part of the total revenue table.

If the revenue of the specific row is greater than or equal to the state revenue, it calculates the revenue amount and brings it into the table.  

After that, you need to add the variable, VAR StateRev, so that it’s going to evaluate the Total Revenue.

That’s how you create a cumulative total even though there’s no ranking based on dates or numbers. The cumulative totals that were created are only based on a text column.

All the cumulative totals in the table are calculated because they all evaluated to true, and then the total revenues are aggregated to the cumulative total.

The next part that I’d like to demonstrate is the creation of the sales table for the pareto chart.

In addition to this, you can create a Pareto chart based on any selection through the Product Category selector.

The next thing that I want to show you is how to combine the previous formulas into another one by simply adding some DAX functions.

To do that, just create a new measure or copy an existing (similar) one, then rename it accordingly. For this example, the new measure is named as Pareto Chart (States).

As you can see, there’s already an existing formula in the copied measure so you only need to add some DAX formulas. In this case, you need to add some variables using the VARIABLE function, which simplifies calculations.

The first variable (VAR StateRey) simply equals to Total Revenue, while the second one (VAR AllSales) uses the CALCULATE and ALLSELECTED functions.

For the logic, add the DIVIDE function before the SUMX, and then add the variable, AllSales on the bottom part. It’s important to have a constant value for the results to return. Thus, you should put zero as the alternative result.

There are times when the results appear in a number format, but the Pareto Chart (States) column should show in percentage like this one below.

Thus, you need to go to Measure tools, and then change the format into a percentage.

Once you go back to the table, you can see the exact results in the table transform into a Pareto chart. That’s the reason why I always recommend having it inside a table first before creating the chart.

You can experiment around the chart and select dynamic data in the Product Category selector. As you can see, the Pareto chart also changes dynamically as per your product categories.

You can also add some colors to your Pareto chart using some data labels to make it more compelling. Just take time to play around the formatting area and set up your Pareto chart accordingly. For instance, you can change the visualization and enable the Line Values like this one below.

There’s so much you can do inside Power BI to make your data stand out and your report more effective and visually appealing.

The key is understanding the right time to use variables in the evaluation. It could either be used at the start of the formula or as an iterating function. 

I hope that you got something out of this tutorial and hopefully you can find a way to utilize the sample formula pattern into your own models.

All the best!


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