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<div>0:00 Sometimes when we have an attendee list and we want to count the number Learn about counting numbers in your data effectively. Opens in new tab of attendees in the list, we will use something called count unique Discover how to identify unique entries in your datasets. Opens in new tab and we can do count unique Discover how to identify unique entries in your datasets. Opens in new tab , counts unique values Understand the concept of unique values in data analysis. Opens in new tab in a range Explore how to define ranges for data calculations. Opens in new tab , we can find out how many attendees Total like they have the unique Discover how to identify unique entries in your datasets. Opens in new tab names.<br>0:18 So we go A2 colon A and we can see that there are six attendees here. Now the issue is let's say we wanted to filter Find out how to filter data for better insights. Opens in new tab the attendees.<br>0:36 And we wanted to know how many attendees per each event. But sometimes our data Get insights into managing and analyzing your data. Opens in new tab is very dirty, right?
We might have multiple attendees, similar names, same names.<br>0:46 Umm, we might have taken attendance. It's at the beginning and end of an event. And so we wanna get only the unique values Understand the concept of unique values in data analysis. Opens in new tab per each event.<br>0:56 Uh, and you might wanna start thinking about a convoluted sort Learn sorting techniques to organize your data efficiently. Opens in new tab of some and a filter Find out how to filter data for better insights. Opens in new tab . But we can do it all.<br>1:04 One formula Understand the syntax used in formulas for data manipulation. Opens in new tab and that's count unique Discover how to identify unique entries in your datasets. Opens in new tab ifs. And this is really cool because you can select Explore how to use query select clauses for data retrieval. Opens in new tab a range Explore how to define ranges for data calculations. Opens in new tab . We're gonna select Explore how to use query select clauses for data retrieval. Opens in new tab the name range here.<br>1:14 And our criteria range is gonna be b. And then we're gonna select one of the, uh, events.
But we can select Explore how to use query select clauses for data retrieval. Opens in new tab it through a drop down menu here.<br>1:24 So we're just gonna select Explore how to use query select clauses for data retrieval. Opens in new tab d3 here. So d3 here. And now we see three attendees for the opening ceremonies. Our unique Discover how to identify unique entries in your datasets. Opens in new tab look we have, Bob up here.<br>1:37 We have opening ceremonies and we see opening ceremonies here. Bob. So this helps us keep our data Get insights into managing and analyzing your data. Opens in new tab very clean because if we had just checked off, hey counted how many opening ceremonies there are we've had four but we really only have three unique Discover how to identify unique entries in your datasets. Opens in new tab attendees.<br>1:52 We can select Explore how to use query select clauses for data retrieval. Opens in new tab a different event closing ceremonies and now this is automatic.
So this D3 is changing based on the input here in D3 of this drop down menu.<br>2:04 And so for each and every event we can see how many unique Discover how to identify unique entries in your datasets. Opens in new tab So round one you see there's four round ones.<br>2:10 We might have counted four here but we now see there's Avery twice here. So this helps us analyze our data Get insights into managing and analyzing your data. Opens in new tab a lot more in depth and very easily especially with this drop down menu.<br>2:22 Or if you were doing something know like listing each of the events we could create events here.
Let's call events and we'll use unique Discover how to identify unique entries in your datasets. Opens in new tab to grab all the names of the events we'll start with beats.<br>2:41 And then we're going to have to transpose this. So if we just hit enter we have all of these here.<br>2:45 Uh but we can also put them across with transpose. If we want but let's get the unique Discover how to identify unique entries in your datasets. Opens in new tab count of attendees for each one of these.<br>2:56 Let's move this down a little. So this is the event and this is the attendee count. So we're going to use the same exact count unique Discover how to identify unique entries in your datasets. Opens in new tab ifs here.<br>3:10 But instead of d3. gonna select Explore how to use query select clauses for data retrieval. Opens in new tab f here and we're not gonna have to move anything.
We just copy and paste down and we see the attendee count for each event here.<br>3:23 So two ways to display the same data Get insights into managing and analyzing your data. Opens in new tab if you're looking for something dynamic that we need to select Explore how to use query select clauses for data retrieval. Opens in new tab that we want.<br>3:28 You want see, maybe analyze one event at a time or if you want to see all the events and compare them uniquely with the the unique Discover how to identify unique entries in your datasets. Opens in new tab attendees.<br>3:37 This is how you do it here. This is helpful for you to count unique Discover how to identify unique entries in your datasets. Opens in new tab . uh attendees for an event or really cool unique Discover how to identify unique entries in your datasets. Opens in new tab count unique Discover how to identify unique entries in your datasets. Opens in new tab F's here.</div>