Shadowing Practice: Data Analysis Essentials in Excel - Learn English Speaking with Video

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Suppose you've received a large data set, it's unformatted and messy, and your manager is asking you some questions about it.

Hey, I have some doubts here.

Do you have a second?

So to answer his questions, we'll go over three essential data analysis skills, which are data cleaning, analysis, and data visualization.

So let's get into it.

Here's the Excel file, which you can download for free in the video description.

We need to make a few changes to the data set like suppose we want to merge the first

and the last name into one column we want to go ahead

and change the formatting of the sales persons here

so it's a bit more consistent

and a bunch of other things now the fastest way to do

that is using power query for that we're gonna head over to data

and under the data tab you'll see this get

and transform data area

and just click on from table slash range it should select the whole data set for us

and we'll just hit on okay there

and from here it's gonna load up the power query editor

this is really where we're gonna make all of the data cleaning changes

it's a lot faster than doing it using just excel

so the first step when cleaning data is to remove any duplicates

so under the order id

if there's more than one order id with the same number then it's probably a duplicate

so we can just right click on it

and hit on remove duplicates whenever we make a change it's going to be recorded under applied steps here

so you can always go back or you can even remove it

if you wanted to then for the dates they're currently formatted as numbers you can see over here

that it says whole number under date type so let's go ahead

and click on it and change that to a regular date

and you'll see that

that changes automatically to the normal date format then we said we wanted to merge the first name

and the last name

so select both columns by hitting the ctrl key we have both selected there

and then we just need to go to right click

and we'll go to merge columns from here we want a separator

which is just going to be the space sign for us

and we want to go ahead and call this something like names

and hit on okay and you'll see how we've been able to merge the first name

and the last in just a few clicks

if we keep scrolling through the data another thing

that stands out here is that the units have decimals so

if we're selling an item we should sell it in whole not a portion of it

so let's go ahead and switch this up by going over to transform

and from here you'll find the rounding under number column

and we want to go ahead and change

that to just rounding it up and you can see there

that we have the whole number one final thing

that we want to change is all of these salesperson column where they're not very well formatted

so we can head over to format under the transform ribbon as well

and first we want to go ahead and capitalize just each letter

so the first letter of a word like so

and we also want to trim these spaces

so we can go back under format and just click on trim now that's looking a lot better

now to go back to excel from here we just need to go over to the home tab

and then hit on close and load

and this is going to apply all the changes that we've made

so you can see here that it's created a new tab for us

and this time it has everything cleaned up we have the queries

and connections case we ever want to go back to it we can just right click

and hit on edit but we don't right now

so we'll just close out of

that later in the video we'll look at creating some awesome visuals but before

that let's get into the analysis section where our manager is

asking us some questions about the data hey thanks for cleaning up the data

if you don't mind can you summarize the revenue column

so here he's probably trying to understand what the average revenue is what the minimum

or maximum is and so on

so it's basically this whole revenue column here

now we can do this with individual formulas like the sum the average

and so on but there's a better way to do

that that's by going to the data ribbon

and then you'll find this data analysis option if you don't find

that just go over to right click

and click on customize the ribbon then head under add -ins

and you're going to want to select the analysis tool pack hit on go

and select it from here obviously I already have it for now so I'm just going to click inside of it

once we get this pop -up we want to head to an area called descriptive statistics

which is this one here

and hit on okay this is going to summarize all of our revenue data

so for the input range we want to select all our revenue numbers

so just ctrl shift down there

and then for the output let's say we just want it on top to the to the right here

so let's say i just put it on m2

And then I'm just going to put summary statistics.

That's going to give us all the information we want and hit on OK there.

And you can see that it's created this whole set of statistics from, hey, what's our main revenue?

What's our minimum, our maximum, the total revenue, the count and a ton of other useful data.

Awesome.

Thanks for putting this together.

Can you also show me the breakdown of revenue by salesperson?

We can do this by creating a pivot table

so just go ahead and select inside of the data go over to insert

and just click on pivot tables hit on okay there

and it's going to create a new tab where we can analyze

it then under pivot table fields let me just drag this along

so we can see it better we're gonna want to add the revenue

so that's gonna be over under values

and we're also going to add the salesperson that's gonna be under the rows

and now we have that full breakdown

but as you can see it's not really in order here

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so we can right click on it go to sort

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and sort largest to smallest

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and it seems like anna has been the best performer for us thanks for

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that now for our next marketing campaign we're trying to see

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if we should target more of a male

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or female audience do you have a breakdown for

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that for this we can still use pivot tables

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so let's go ahead and select this first one ctrl c to copy

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and just paste it down below with ctrl v

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and now we're gonna make all the changes

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so this time instead of the salesperson and the rows we're gonna remove it

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and let's add the gender in here

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so we have the sum of revenue maybe we also want to see the units

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so let's go ahead and drag

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that in as well based on this you can see

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that we should probably target females more as they're the bigger part of our audience

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we can also get the proportion so the percentage here simply by right clicking on it

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and then show values as a percentage of grand total

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so with that you can see that we have 53 percent almost

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that are female relative to around 47

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that are male this is great thanks a lot for your help awesome

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we can pretty much get any information on our data using pivot tables

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but there's another ai tool that excel introduced

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so let's take a look at it we'll head over to the table here under table one

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and this time instead of going to pivot tables

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we're gonna go under the home ribbon all the way to the right where it says analyze data

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so let's click on that it's basically gonna create a q a box

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and within it we can ask anything

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so before we did a pivot table to find the revenue by salesperson we can also ask it here

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so revenue by salesperson hit enter there and you can see

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that we get the exact same breakdown so that's an awesome ai tool

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that you might find handy and

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if you want to learn even more about data analysis you can check out our excel for business

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and finance course using the link in the description below

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we won't just go over data analysis though we'll also cover

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formatting best practices shortcuts building awesome visuals dashboards creating large dynamic financial models

136

and much more and

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if you get stuck along the way

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you can always ask us the course instructors any questions in the discussions forum and

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if you want more than just excel

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we also have several other courses on power bi AI financial accounting corporate finance

141

and more if

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that sounds interesting check out the link in the description below all right back to the video now

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that we've cleaned up and analyzed the data let's look at how to visualize it

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and one of the easier ways to do that is using conditional formatting

145

so you can see over here that we have the the breakdown

146

that we did earlier with the revenue by salesperson

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and suppose we want to visualize these numbers over here a bit better we can go ahead

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and select them and then just go over to conditional formatting under the home ribbon

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and then we'll select the data bars let's say we go for a red one over here

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and you can see how easily we can tell the proportions now

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and just how much anna brought in in revenue another great visual for data analysis is a scatter plot

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so over here we have the cleaned data set

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and suppose we want to see if there's a relationship between age

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and revenue maybe older people tend to spend more money

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so let's go ahead and select both just by clicking on the h here

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and hitting ctrl shift down arrow then we'll go back up

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and for the revenue we want to keep hitting that control key

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so we also have this selected and again ctrl shift down from here we'll go over under insert it.

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and right in the center here under charts we're gonna want to select the scatter

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so this one right over here to drag this back up just hit ctrl x

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and then scroll up to the top

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and let's say i put it over here to the side with ctrl v

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so it does seem like there's a bit of a trend where the older

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they are the more money they're spending we can look at

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that closer with a trend line just by right clicking

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and going to add trend line it does look upward sloping we can even go ahead

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and add the display equation so that we can see the numbers more precisely

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so here's the equation and basically what this is telling us is

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that for every increase of one year in age revenue goes up by around 340 dollars

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so overall it's fair to say

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that the older they are the more

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they're going to spend one final visual we'll look at is a box plot

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which is great for finding outliers in the data

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so over here let's suppose

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that we just take the revenue by hitting ctrl shift down then we're gonna head over under insert again

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and this time under the very center here we're gonna click on

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that and go to the box

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and whisker i realize this is a funny looking chart

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so let's go over and explain what it's saying

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so the line right here

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which is quite small is the median the x is gonna be the average for us then these top

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and bottom parts are the extremes and these two here are the quartiles the first

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and the third quartile and

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if we had any outliers they would be showing us dots up over here

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or down over here just to show you quickly let's say

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i put another zero in here i'm just gonna put a huge number you can see

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that it starts to show as an outlier there let me go back

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so you can see this again for more on data analysis check out

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this video over here going over five awesome data analysis tools

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or take our excel course over here and i'll catch you in the next one

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Woordenschat en spreektips bij deze les

Deze spreekles is gebaseerd op de video “Data Analysis Essentials in Excel”. Deze woorden komen het vaakst terug: revenue, click, ahead, select, analysis. Deze video bevat 190 zinnen en 2200 woorden om na te spreken. Het gesproken deel duurt 11:51. De spreker praat snel, ongeveer 186 woorden per minuut, dus reken op verbonden en ingeslikte klanken. 89% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is goed te volgen.

Belangrijke woorden in deze video

15 woorden uit de video die het leren waard zijn, met uitspraak en betekenis:

Woord	Uitspraak	Betekenis
select werkwoord	/sɪˈlɛkt/	uitkiezen, selecteer
format zelfstandig naamwoord	/ˈfɔːɹ.mæt/	lay-out, formaat
excel werkwoord	/ɪkˈsɛl/	uitblinken
column zelfstandig naamwoord	/ˈkɒləm/	zuil, kolom
breakdown zelfstandig naamwoord	/ˈbɹeɪkˌdaʊn/	defect, mankement
ribbon zelfstandig naamwoord	/ˈɹɪbən/	lint
merge werkwoord	/mɝd͡ʒ/	samenvoegen, fuseren
dragon zelfstandig naamwoord	/ˈdɹæɡən/	draak, lintworm
insert werkwoord	/ɪnˈsɝt/	invoegen
analyze werkwoord	/ˈæn.əˌlaɪz/	analyseren
query zelfstandig naamwoord	/ˈkwɪɹ.i/	vraag, verzoek
duplicate werkwoord	/ˈd(j)uː.plɪˌkeɪt/	dupliceren
percentage zelfstandig naamwoord	/pə(ɹ)ˈsɛntɪd͡ʒ/	percentage
equation zelfstandig naamwoord	/ɪˈkweɪ.ʒən/	vergelijking
scroll zelfstandig naamwoord	/skɹoʊl/	boekrol, schriftrol

Phrasal verbs die je zult horen

Woord	Betekenis
check out werkwoord	onderzoeken
clean up werkwoord	schoonmaken
go back werkwoord	teruggaan
back up werkwoord	teruggaan
pop up werkwoord	opduiken, te voorschijn komen

Uitspraak om op te letten

De spreker gebruikt 61 samentrekkingen en verkorte vormen, zoals gonna, we're, we'll. Spreek ze kort uit, zoals je ze hoort.

De klanken “sh” en “zh”: proportion /pɹəˈpɔɹʃən/, equation /ɪˈkweɪ.ʒən/, conditional /kənˈdɪʃ.ə.nəl/, visualize /ˈvɪʒuəˌlaɪz/, dashboard /ˈdæʃˌboɹd/
Lange woorden — let op de klemtoon: conditional /kənˈdɪʃ.ə.nəl/, capitalize /ˈkæpətəˌlaɪz/, separator /ˈsɛpəˌɹeɪtəɹ/, visualization /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/

Klanken die Nederlandstaligen lastig vinden:

Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: merge /mɝd͡ʒ/, analyze /ˈæn.əˌlaɪz/, percentage /pə(ɹ)ˈsɛntɪd͡ʒ/, columns /ˈkɑləmz/, relative /ˈɹɛl.ə.tɪv/
/æ/ — opener dan de Nederlandse “e”: format /ˈfɔːɹ.mæt/, dragon /ˈdɹæɡən/, transform /tɹænsˈfɔɹm/, analyze /ˈæn.əˌlaɪz/, dynamic /daɪˈnæm.ɪk/
/w/ — met ronde lippen: query /ˈkwɪɹ.i/, equation /ɪˈkweɪ.ʒən/, upward /ˈʌpwɚd/, quartile /ˈkwɔː(ɹ)taɪl/

Zo oefen je met deze video

Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
Begin op 0,75× snelheid, spreek zin voor zin na en ga terug naar normale snelheid zodra het makkelijk gaat.
Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als select, format, excel.

Wat is de Shadowing-techniek?

Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.

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Shadowing Practice: Data Analysis Essentials in Excel - Learn English Speaking with Video

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Woordenschat en spreektips bij deze les

Belangrijke woorden in deze video

Phrasal verbs die je zult horen

Uitspraak om op te letten

Zo oefen je met deze video

Wat is de Shadowing-techniek?