Welcome to Excel
Basics video number 20. Hey. In this video, we got to see
the power of pivot tables. Now, we've already
had four videos where we talked about pivot
tables earlier in the class. But in this video,
we want to see 14 amazing pivot table
reporting tricks, from slicers to the amazing show values as. Now this is video 32 and
the Office 2016 series. And of course, if you want to
download this file or the 22 pages of PDF notes, you
can click on the link below the video. Here's our 14 examples. And we're going to see
examples like calculating average revenue by product
category and country, connecting it to a
slicer, which will filter the entire pivot table report. And then we'll
connect the slicer to more than one pivot table. We'll see how to group
revenue by year and month. And then we'll see the amazing
show values as calculation to calculate things like change
for each month, percentage change, running total. We'll even have
two text data sets. One where we have
phone purchased data. And we need to count how many
of each phone was purchased and calculate the percentage
purchased for each phone. Then we have a CPA
data set, where we're going to calculate the
percentage that fail or pass. And we'll cross tabulate those
percentages to figure out whether or not taking a CPA
prep course really helps. Now, we've had four videos
already in this class. So I want to go look at
each one of the videos. I'm going to click on video
four sheet, just to remind us of where we've come from in
this class with pivot tables. Now in video four, we
just had a small data set. And we compared and contrast
summits and pivot tables. We saw clearly that pivot
tables are an easy and great way to make a calculation with
a condition or criteria. In video number
five, we saw that we can have different aggregate
calculations like count, sum, and average. We also, very important,
we saw that it's easy to create a cross
tabulate a report and add a slicer
with a pivot table. Also, the PDF notes
for video four and five are epic notes for
everything about the basics of pivot tables. In video 13, we saw how
to use the IF function to add a helper column,
which in essence, added a new category for our data set. And then we were allowed
to use the entire data set, including the extra column
to build a pivot table. And in video 15, we saw
how to use the XL table feature with dynamic ranges. So we could add new data and
create a pivot table from it. Now let's go to the
sheet data analysis just to remind ourselves. We've talked about
this many times. Data analysis, or also
in the business world called business intelligence,
what's the definition? We're going from raw data. And we're going to convert
it into useful information. What do we need in order
to create a pivot table? Well, we need a proper data set. And as we've talked about
many times in the class, that means field names
in the first row. Records and rows and empty
cells all the way around. Now let's go look at
our first example. I'm going to scroll over. And we're going to click
on the sales data sheet. Now here is our
data set we're going to build our first couple
of pivot tables from. Date, product, country
code, units, revenue, and cost of goods sold. Now, we actually already had
a data set similar to this. And we used country code in
the rows area of a pivot table. The problem with
that was is it's hard to know from the
abbreviation which country is which. Well, what we're going
to do is we're going to add an extra helper column. We're going to look
up the country code. And here's our look up table. Country code in
the first column. Country in the second column. Once we use v look
up and copy it down, it'll be much easier
to read our report when we have the
proper country name. Then we'll create
a second column where we look at product
price in this product table and return the product category. All right. I'm going to click in
cell G4 equals VL tab. I'm going to use my
arrow key to arrow over to get country code, comma. The table, I'm going to
click in the top two cells, use my keyboard, control, shift,
down arrow, F4 to lock it. Now I've got to type a comma. Column index, 1, 2. The second column
has the country. So I type a 2. We're using exact mass. Because we're looking
up exactly that text. So I either put false or zero. Close parentheses. Control, enter, double
click and send it down. Now I'm going to control, down
arrow to go down to the bottom. Wow. Look at that. 73,000 rows down. F2. There I'm just verifying
the cell references. Hit escape. I'm going to use control,
home to jump back to cell A1. Now we click in
H2 equals VL tab. Left arrow to get the product. Comma. The table, I'm going to
highlight and hit the F4 key. Comma. I'm counting on my fingers. 1, 2, 3, 4. Product category is
in the fourth column. In the fourth column, 4,
comma, 0 for exact match, close parenthesis,
Control-Enter, double-click, and send it down. Control-Down Arrow and F2. We just verified
the cell references. Then Escape, Control-Home. Now we have Data, Product,
Country Code, Units, Revenue, Cost of Goods Sold, Country
and Product Category. Now we're actually
going to use these two fields, along with Revenue,
for our first PivotTable. Now I'm going to click
in a single cell. And our PivotTable's going
to go on a sheet that already exists, called PT1. So I'm going to click in a
single cell, Insert Pivot Table, or use the
keyboard, Alt-NV. Now it got the data set right. I want to click on
an existing sheet. And when I select
that dialog button, I'm allowed to go
down and click on PT1. You can already see the
sheet reference there. Now I'm going a select A7. There it is, A7. Click OK. And here's our field
list, and look at that. There's our Country
and Product Category. Those are the two columns
we created with VLOOKUP. Now I'm going to drag
Country down to Rows. And as always, when you
drag a field down to rows, instantly in the PivotTable,
we get a unique list, one of each item from that column. Now I'm going to come
over to Product Category. And for the time
being, I'm going to drag it to the Columns
area in the task pane. Instantly, for the columns,
I get a unique list of items from that column. Now I'm going to
drag this over here. I want to now drag
Revenue down to Values. And in the Values
area, instantly I get a calculation with two
conditions or criteria. And the conditions or
criteria for that calculation, $22,364.97 is Beginner
category and Bahama's country. Now column labels and
row labels are not good labels in a report. Design, over to
Layout, Report Layout. Show in Tabular. I'm immediately going to
click in the Values area, right-click, not format cells. Number Formatting,
because we want to add number formatting to the
actual field, not the cells. I'm going to select Currency. And for this report,
I'm not going to show a dollar sign,
because it will be very cluttered with so many numbers. And I'm going to, since
this is a high-level report, display 0 decimals. Click OK. Now I'm going to drag
this over to the side. Now this report is nice. Any intersecting
cell I can clearly see at the top of the column. There's the criteria, Freestyle. And at the head of the row,
there is the country, Colombia. But really, I would like
a more concise report, where I see for each country
a vertical list of the Product Category. So instead of having
Product Category in columns, I'm going to click and drag. And this is why they
call it a PivotTable, because I can drag
it below Country. And instantly, I have
pivoted my report. And that's what I'm after,
the country, and then each one of the
product categories, and the sum of revenue total. Now I want to come
up to the top here. Hit F2 to put it in edit mode
and put my cursor at the end. Then I'm going to indicate the
unit, space, open parenthesis dollar sign, close parenthesis. Enter. I'm going to come up and
change the column width. Now it's very common in
reports to indicate the unit at the top, because
then we don't have to clutter up the inside
of our report with the unit. Now sum of revenue is
great, but we don't really want sum of revenue. We have in a PivotTable 11
different aggregate functions that we can use to
make calculations. And there's a list
in the PDF notes. There's actually a list right
over here on this sheet, summarized values also. Now I'm going to right-click
in the Values area. Go down to Summarize Values By. That's where we
change the function. And in a PivotTable,
when you right-click, there are two
different locations to change the calculation. Summarize Values By, that
has aggregate functions. And all 11 of them are
available in More Options. And then as we'll see in
PivotTables coming up later in this video, Show
Values As, with a bunch of amazing calculations. All right, so we're
going to try it, Summarize Values By and Average. Now look at that. It even changed it,
Average of Revenue. And it kept our dollar
sign that we created there. Now the next thing I want to do
is look at PivotTable styles. Now lots of times, I
just keep the default, because a lot of these styles
up here don't look very good. But I'm going to click the
More button for styles. And you can preview. Look, that one there,
that one's ridiculous. How about this one right there? That's terrible. Now there's a few of
them that look OK. I want to select-- in the first row up
here, if you look over the side, the white
font and blue background, the value difference
isn't big enough. Same with this one right here. But this second row
right here, I like that. The green with the black
font color, in particular, looks good. So I'm going to select
this one right here. Light green, pivot
style, medium, 14. Actually, I just learned about
this cool style [INAUDIBLE] someone in the
class the other day, [? Reesa ?] said
she liked this one. So we're going to use
that one right there. Now the last thing
we want to do to this is we want to name
our PivotTable. Now we've learned how to name
Excel tables in an earlier video. But we want to name
our PivotTable, because we're going to
have multiple PivotTables. And we're going to want to
connect them to a slicer. So I'm going to, up in
PivotTable Tools, Analyze. Go over to the PivotTable
Tools, and there it is. You can click up in
the PivotTable name. And I'm going to type something
like Country Report, and Enter. Now later, we'll see that
that name will come in handy. Now for this particular
PivotTable sheet, we're actually going to
create a second pivot table, add a slicer, and then connect
both PivotTables to the slicer. But before we do
that, we're going to go start our
second PivotTable report on the sheet, PT2. Now there's nothing here yet. And we're going to start
over on Sales Data. We're going to click
in a single cell. We're going to use
our keyboard, Alt-NV. It got the data set
correct, because we have a proper data set with
empty cells all the way around. I'm going to click Existing. Click on PT2. And click in cell A9. There I see A9. I click OK. Now we're going to see
something amazing here. That is the Date field. And I want to go back
over to the sales data and notice this data set, as
well as most data sets that we get that contain
transactions from sales, those transactions are almost
always encoded with a date, sometimes with a date and time. But notice, dates are fine. In fact, we might want
a daily sales report. But oftentimes, we want
month, quarter, and year. So remember, those
are individual days. If we go back over to
PT2, and watch this, that whole Date column
is filled with days. But in Excel 2016, when
you drag Date down to rows, it will automatically group
by year, quarters, and date. Now what this means is
that when we drag Revenue-- in fact, let's drag
Revenue down here-- we are allowed, from those
individual dates to now add by year, quarter, and date. Now we don't want
quarters for this report. So I'm simply going to
click and drag it off. Now we're left with
years and date. Date is really going
to be our month. Now I'm going to come over. And in the row area, I want
to right-click and point to Expand or Collapse. And then I want to
Expand Entire Field. That way, I can see the year
and the months, the year and the months. That's absolutely beautiful. Now one thing before
we move forward. Sometimes you actually
want the individual days. You can actually right-click
and point to Ungroup. That's if you actually want the
unique list of days in the rows area and then sum up by day. But we're not going to
use ungroup right now. So I'm not going to click that. Escape. Row labels is not good. So I'm going to go up to
PivotTable Tools, Design, Layout, Report Layout, Show
in Tabular, or Outline. Both of those will
show the field names. So I'm going to click that. And then I'm going
to right-click Number Formatting, Currency, 0
decimals, and no dollar sign. Click OK. Click in the top, F2, space,
open parenthesis, dollar signs, close parenthesis, and Enter. Increase the column width. With the cell
selected, I'm going to go up to the More button and
click light green, pivot style, medium, 14. Now we'll come back
to this PivotTable and add some extra columns
and see some amazing Show Values As calculations. But I had to come and create
this PivotTable first, because I actually
wanted to make sure that we grouped so that we
had this new field, Years, because I want to go
over to PivotTable 1. Drag this to the side. And with a cell in our
PivotTable on this sheet, I want to add a slicer. Now a slicer will be a list
of the years over here. And I'm allowed to
click on the year. And it will instantly add
that condition or criteria to the entire PivotTable report. Now we're going to go over
to PivotTable Tools, Analyze. And in the filtered group,
we're going to insert a slicer. Now when you insert
a slicer, you can pick whichever field
you want from your data set. I'm going to check Years. And it will add a list
of all the unique items from that particular field. Click OK. Now we'll fix this
up in just a moment. But what a slicer does is,
right now, all the years are selected. That means every cell
in the PivotTable table is for all the years. Now when I click
on 2016, that means every cell in this PivotTable
is for only the year 2016. Now when you use either
a filter right here-- and we saw this back
in video number 5-- or a slicer, filter or
slicer, every single cell in the PivotTable gets
that condition or criteria. Now if we compare and
contrast rows or columns, that means that for each
cell, as we're moving down, the criterias and
conditions are changing. In that cell right there,
that has three conditions or criteria. It's for the product category,
Freestyle, for the country, Algeria, and the year 2016. When I go down to the next
cell, the conditions change. Well, at least,
product category did. This is the average revenue
for the product category, intermediate, in the country
Algeria, in the year 2016. Now when I come down
here, 2016 still applies. But now the category
is beginner. And the country is Argentina. So slicers, they affect
every single calculation in the pivot table. Now we need to click on
this, because we need to get rid of these ghosts here. So I'm going to right-click
and point to Slicer Settings. And over in Slicer
Settings, here it is. Hide Items with No Data. I'm going to check
that, and click OK. They're gone. Now I can resize this,
drag it to the side. Up in Slicer Tools,
Options, if I want, I can add a consistent color. I'm going to add slicer style. Now we want to add a PivotTable
right off to the side in F7. But we're going to start it off
by going back to Sales Data. Click in a single cell. Alt-NV, Existing
Worksheet, PivotTable 1. And I'm very carefully going
to try and click in F7. Click OK. Now here we want to drag
Product down to Rows, Revenue down to Values, get
rid of row labels. Design, Layout, Report
Layout, Show in Tabular. Right-click, Number Formatting,
Currency, 0 decimals, no dollar sign. Click OK. Click in Sum of
Revenue, F2, space. And I'm going to add the unit. Enter. Increase the column width. Go up to PivotTable Style. Select that consistent style. Now we're going to
learn a great trick. We have sum here. And over here, we have average. Now we're totally
allowed to have multiple calculations
on the same field in the same PivotTable. So in PivotTable
fields, I'm going to drag Revenue down to
Values for a second time. I'm dragging it
below sum of revenue. And there we go. Now I can come
over, right-click, Summarize Values
By, and we're going to change it to Average
Revenue for Each Product. So when I click Average,
there's the calculation. Now I want to display these
with the same number format, and I did over here,
and is over here. Right-click, Number Formatting,
Currency, 0 decimals, no dollar sign. Click OK. Click in the top cell,
F2, space, parenthesis, dollar sign, space. Enter. Now I'm going to drag this so we
can increase the column width. Now notice every time we drag a
number field to the PivotTable Values area, it defaults to sum. Now let's try-- because we want
to count how many transactions we have for Alpine, and
Aspen, and [? Bellon, ?] for each one of the products,
because we want to count, I absolutely could
drag Revenue down there and then right-click
and change it to COUNT. But if you drag a text field
down to the Values area-- let's do it. I'm dragging Product
down to Values. It will default to COUNTA. And then we can see there,
it says Count of Product. It's counting how many
transactions in the data set set were for the
product, Alpine. Now I'm going to right-click
the top cell, Number Formatting. I'm not choosing currency,
because this isn't currency. We're counting. I'm going to include 0 decimals
and use a common separator. Click OK. Now the number formatting
looks the same here. But that dollar sign
means these are dollars. These are just counting. The word count means integers. We're counting 1,
2, 3, and so on. Now let's come over--
this is exciting. I'm going to use my slicer. Oh, but look at that. When I click on the slicer, it's
only affecting this PivotTable. Now before we
connect this, let's come back to this PivotTable. We want to come up to
PivotTable Tools, Analyze. Over to PivotTable Tools,
click in the Name box. And we're going to name this
Product Report, and Enter. Now we can click on the slicer. And we want to connect
both PivotTables tables to the slicer. So I can right-click,
Report Connections. And there's our
list of PivotTables. We already see we made a mistake
on that other PivotTable. On PivotTable 2 sheet,
we forgot to name it. But the reason we name
it is because many times, you have lots of
PivotTables in one workbook. So we got to name them to
know which ones to check. All right, so we're
going to connect Country Report and Product
Report to the slicer, and click OK. Now check this out. When I click 1716, instantly,
both PivotTables are updating. That is amazing. Now we're finished
with this sheet and this double PivotTable
and slicer report. Now I want to go
back over to PT2. All right, and the first
thing we want to do here is click in a single cell. PivotTable Tools, Analyze. Over to PivotTable Tools,
click in the Name box. And we're going to call
this Monthly Report. And Enter. Now we have sum of revenue for
each month and for each year. I want to add some extra columns
and calculate the difference between. So the difference
between each one of these would be February minus January. And so the difference
needs to be down by $7,000. Then we need to calculate
the percentage difference. And then format it
as a percentage. Then we need to calculate
the running total, which the running total
always gives us, as we move from month to month,
the total for the entire year so far. So those would be examples of
the calculations we need to do. Now instead of doing
formulas-- and I'll actually drag these
off to the side just so we can see that,
in fact, the pivot table calculations will
calculate this correctly. By the way, if you try
to do this yourself, you might not see
cell references. You might see Get
Pivot Data Function. And I have those turned off. So you would have to go to
File, Options, over in Formulas. And I uncheck Get
Pivot Data Functions for Pivot Table References. You can keep those
on if you want. There's some good uses for them. But I have it turned
off for this video. All right, let's click
back in our PivotTable. And we're going to
do the same thing. We need multiple calculations
on the same field. So I drag Revenue
down to Values. Come over, and we're going
to right-click, down, not to Summarize Values By. But this is the first time we're
going to see Show Values As. Now Percentage of
Grand Total would calculate the percentage
of every number, like in a
cross-tabulated report. Compare it to the grand total. We'll see percentage of
column total and row total in later reports in this video. But they just calculate
the percentage of each item of the
column and of the row. We'll also see Difference From--
that calculates the difference from period to period or
from category to category-- Percentage Difference From, and
we'll even see running total. Now we want, as our first
calculation, Difference From. So I'm going to select that. And it says Base Field Date. I'm going to click Cancel,
because I don't like that. I'm going to come
right over here. This is a PivotTable. And we have our
report layout tabular, so properly, it shows
the date field name. And we can see that
checked up here. But we're totally allowed,
in our pivot table report, to type a new name. I like Month. Not only is it going to be more
informative for our report, but Enter, it'll also
help us understand what's going on when
we use Show Values As. Right-click in the values
area for the second column. Show Values As, Difference From. And now the base field
is going to be month. That means we need to
calculate the difference between each month
and the base item. Now sometimes, like in
some accounting reports, we want to base
everything off of January. That means as the
formula copies down, it will calculate the difference
from each one of these items compared to January. But that's not what we want. We want to select Previous. That way, as we
copy it down, it'll take April compared to March,
then May compared to April. All right, I'm
going to click OK. And that is amazing. It totally is calculating the
actual amount of the change or the amount of the
difference as we copy down. Now right-click,
Number Formatting. I'm going to select the
same number formatting to be consistent. Currency, 0 or no symbol. Click OK. I'm going to come
up, and I'm going to create a new label here,
Change From Previous Month, Control-Enter. Now I'm going to increase
the width a little bit, and go to Home,
Alignment, Wrap Text. Now let's click
inside the PivotTable. And guess what? We're going to drag
Revenue down a third time. I'm going to try and move
this PivotTable field list. By the way, you can change
the dimensions of the field. It's kind of hard. You have to really
point carefully. There it is, sum of revenue. Right-click, Show Values As. And we want Percent
Difference From. Same thing, From Month,
that's our base field. Base item, always
look at the previous. Click OK. It actually calculated
the percentage change and added number formatting. By the way, we can see over
here that our calculations by formula or by
PivotTable are the same. Now we're going to drag
Revenue a fourth time. Drag the PivotTable
fields off to the side. Right-click, Show Values As,
and down to Running Total. Base field is month. What that means is it
will calculate the running total for this year. But then when it gets to the
next set of repeating criteria, it'll calculate a new total. If I selected year,
it would actually calculate a running total
for all three years, which means the running total
will keep going until it got to the very grand total. But that's not what we want. We want month. When I click OK,
that's totally amazing. And we can see over here, we
got exactly the same numbers. It's totally adding
as we go along. And of course, December
equals exactly the grand total for the year. And when we look down
here, it starts over. And when it gets to December,
that's the yearly total, as we can see right here. Right-click, and
Number Formatting. And I'm going to be consistent. Currency is 0 and none. Click OK. Now I'm going to
change the labels here. Percent Change tab, running
total in parenthesis, the unit. Control-Enter, and
do some wrap text. Now that is pretty amazing. We did not have to create
a bunch of formulas. But we're totally
allowed, first off, to group by year and month. That would be quite hard
to do with formulas. You have to use
SUMIFs with an upper and lower limit for each month. But in a PivotTable, we
just drag and drop the date. And it does that automatically. Then we did Change From Previous
Month, the percentage change and a running total. All right, now we have two more
amazing PivotTables to create. I want to go over to the
cell phone data sheet and look at our data set. It's a single column. These are phones purchased. So it just lists the actual
name of the phone purchased. Now this is very common, where
you have a single column, where you could have automobiles
purchased last month, a particular set of survey
responses to a question. But you have a single column. And all we want to do is
count how many of each are listed and figure
out the percentage of each particular item. Any time that's the case, we
can do a quick PivotTable. Now I'm going to
click in a single cell and use the keyboard, Alt-NV. I'm going to put this PivotTable
on the existing sheet. I'm going to put it in C6. Click OK. Now here is our field list. And look, there's
just one field. But here's how easy it is. You drag the single
field down to rows. And instantly, we
get a unique list. Then you drag Field
down to Values. And because it's a text field,
it defaults to counting. And instantly, we have our count
for each one of the phones. Then we can drag the text
field down a second time. Come over, right-click,
Show Values As. And we're going to use
Percent of Column Total. Now what does that mean? That simply means, well,
there's a column total, 559 items purchased. It'll take each one of the
numbers and divide it by 559. So when I do Show Values
As Percent of Column Total, instantly, it not only
calculates the percentage, but it adds number
formatting for us. Now, of course, 100% at
the bottom, because 559 divided by 559 is 1. And then formatted as
a percent, we see 100%. But look at that. Each one of these items is
expressed as a percentage. We can see Samsung Galaxy S8 was
the most, iPhone, second most. Now sometimes, this is called
a frequency table or a percent frequency report. This is the frequency. This is the percent frequency. And here's the deal. It's so common. You have a single
column in business of whatever the attribute is. You've got your unique
list and our percentages. Now in our case, we
did a sample of 559. But if next month we're
projecting 10,000 sales, we can take each one
of these percentages, multiply it by that 10,000. And that would give
us a good estimate for how many of each
phones we expect to sell. All right, so this is a
very common situation, a single column of text
data, unique list count, and percentages. PivotTables are
the way to do this. Now let's go look
at our next example. I'm going to click on CPA Data. Now here we have
scores from a CPA test. We have a column that
tells us whether they took a preparatory course or not. Now this is the same column. It just has a longer label. And this column says whether
they passed or failed. Now if I Control-Down Arrow,
this is like 10,000 records. Control-Home. Now what I want is,
I want whether or not they took prep
course in the rows, pass or fail in the columns,
and then calculate the percent. So I click in a
single cell, Alt-NV. I'm going to put this
on an existing sheet, try to click in F6. Click OK. Now I'm going to use the
long label, CPA Prep Course, drag it down to rows. There is our unique list. Now I'm going to drag pass
or fail down to columns. Now we have a crosstab. I'm going to drag Test
Pass/Fail down to values. That gives us the count. You could see we had
exactly 10,000 records. Now we need to
express, for the row, this is they did not
take a prep course, they took a prep course. I need to compare each one of
those numbers, 5,175 and 1,000, and divide it over 6,175. Do the same for took a
prep course and the same for every person
in that data set. Right-click, Show Values As,
and Percent of Row Total. Just like that, with a few
clicks, we have our answer. Well, actually, our first answer
is that, yes, the CPA exam is incredibly hard to pass. This is passing all four parts. And that might even
be a good year. But now we have our
answer for the people who did not take a prep course. Only 16.19% passed. 83% or 84% did not. But look at this. Here's the people who
took the prep course. Only 39.22% passed. Almost 61%, even though
they took the prep course, did not pass. I almost forgot column
labels, not a good label in our report design. Layout Report, Layout,
Show in Tabular. In fact, I better come
back over to this one. Design, Report Layout,
Show in Tabular. All right, so yes,
the CPA exam is hard. But what's not hard is
creating PivotTables. And in this video, we
saw some epic examples, including this
cross-tabulated report, where we did Show Values
as Percentage of Row. Back over here on
cell phone data, we saw the incredibly common
single column with text. And all we want to do is
get a unique list count and get percentages. Then over on sales
data, we actually did VLOOKUP for country
and product category, added these two
columns to our data set, and then
created PivotTables and used these fields. Over on PT1, here's
our first PivotTable, Product Category and
Country in the row, and calculated average revenue. Then created a slicer,
which of course, filters the entire report. We connected the
slicer to both reports. This report was product,
with sum of revenue, average of revenue. And please count
the transactions, the times we had a
particular product. Then over on PT2, we saw
the amazing Group By feature in PivotTables, perhaps one
of the most beloved features in a PivotTable. We grouped by years and month,
calculated total revenue, then saw Show Values
As to calculate change month-by-month,
percentage change, and even running total. Now if you like that video, be
sure to click that thumbs up. Leave a comment and sub,
because there's always lots more videos to come
from XLS Fun, including the next couple of Excel basics. We'll see a couple of short,
cool PivotTable tricks. All right, we'll
see you next video.
