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so we just read about the different data types
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that we're going to be using in this course in Excel
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remember that
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we're going to be using labels or text
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as one data type
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values or numbers as another data type
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and we're also going to be taking advantage of excels
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ability to do calculations for us
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and we do that using formulas or equations
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and a great
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way to understand these different data types
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is to use a real world example
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on something that will be working on
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which is what I have shown here in this chart
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one of our first projects
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is going to be working with local weather data
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for wherever you happen to live
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this is data for where I happen to live
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in North Carolina
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and the United States
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and we're gonna be making plots
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of how the weather changes throughout the year
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and so we can look at this chart
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and we can see those changes
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but what we should focus on right now
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is we should focus on the different kinds of data
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that are included in making a chart like this
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and here we can easily see two kinds
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first of all
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we're looking across all the months of the year
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and we know that words
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months are going to be a kind of text or label data
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and so we have to have the ability to handle
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text data like that
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so that we can properly label our months clearly
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we also have numerical values
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because we have numbers representing
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the temperature in each month
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and so that's our value data
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or our numerical data
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that we're working with
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we also have other kinds of label
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or text data
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where we need to be able to label
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which temperature we're talking about
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maybe it's the mean daily high temperature
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or the mean daily low temperature
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so this different kind of label
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or text data
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is something that we'll be working with as well
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and so now we're going to see
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how we input and handle this kind of data in Excel
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in an Excel spreadsheet
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so that we can make a chart like this in the future
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so here we are in Excel
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so we can see how these different data types work
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when we're inputting data into Excel
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so that ultimately
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we can analyze data and produce plots
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like the chart that I just showed you
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you'll see immediately
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that I've already entered in some text data
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or label data
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and these are labels for our data
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we know that we're going to be working with months
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and of course
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that's a label itself
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and we know that we're going to be working with
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the mean daily high temperature
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and the mean daily low temperature
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and so these are called column headers
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which is a form of text data
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or label data
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frequently for column headers
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I like to bold everything
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and so I'll just hit control B to bold
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or we can also click on the B icon
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to bold those text as well
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and so that can bold and unfold
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just like that
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this is one piece of information
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about setting up spreadsheets
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but soon we'll have a separate topic
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that goes into a little more detail
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about the general principles we should use
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when we're setting up spreadsheets
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something else you'll notice in this
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happens a lot
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when we're entering
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label or text data
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is we can't fit all of that label
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into a single cell
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there's overlap there
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gets cut off
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we can adjust that
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and excel very easily
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if we hover over between the two
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columns that were interested in adjusting
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we can drag
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and change that width
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or the easy thing that I like to do
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is we can double click
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and it will auto correct
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it'll auto fit that column with
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for the text
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so I just did that
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for a mean daily high temperature in column B
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and we'll do it for a mean
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daily low temperature in column C
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as well so now
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we have our labels all set
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and we'll just do a quick example here
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we know that one of our months
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our first month
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is going to be January
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and if I recall
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collect correctly
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the mean daily high temperature
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for January
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in my part of the world
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is about 51 degrees Fahrenheit
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the mean daily low is about
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30 degrees Fahrenheit
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so here we are
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with our first
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observation
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and we have two different data types in here
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we have a label or text
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for the month
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and we have
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values or numbers
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for our high
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and low daily
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mean temperatures
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you can see
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immediately
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that Excel tells us
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we're dealing with different information
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because we have numbers
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justified or aligned
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on the right
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and text justified or aligned
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on the left
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this is useful information
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that we're going to be using later
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so that we can know how Excel is interpreting
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the data they're putting in
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so we have two of our three data types here
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let's do a quick example
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so we can look at our third data type
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which is a formula
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or an equation
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so I'm just gonna create a new column here
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and I'm gonna call it difference
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and what this will be is
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we're calculating
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the difference between
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the mean daily high temperature
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and the mean daily low temperature
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we could do this by hand
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we can do it on our heads probably
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but the whole point of this course
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is getting to the point
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where we can get Excel to do this work for us
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so we're going to use an
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equation or formula
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whenever we're asking Excel to do a calculation for us
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we're going to tell Excel that
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by starting our data
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with an equal sign
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now this is not going to be text data
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it's not going to be a value
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it's going to be
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an equation or formula
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and what we're going to do is
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we're going to take advantage of cell referencing
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and we're going to
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say Excel we want
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to take the value 51
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and subtract
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30 from it and so
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you can see
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our cell references
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right in here
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and you can see
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that Excel is color coding
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to tell us that it's going to subtract 30 in red
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from 51 in blue
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up in our equation bar
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or formula bar
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we have a version of that
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equation as well
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and if we hit enter
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we'll get the result
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and so we have
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a data type
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in our formula bar
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of an equation or formula
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but it is producing
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numerical data for us
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so few things we've seen in this video is
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we've seen already
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that we're using our cell referencing information
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so that we can start to build equations
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like we have here
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and we've seen the power of the three different kinds
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of data types
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where we can put these all together
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to keep our data organized
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do calculations on it
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and get it ready for plotting
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so this is just a very simple example to make sure
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that we're ready to start working with data in Excel
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which is what we're going to be doing very soon
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