Afrikaans
Akan
Albanian
Amharic
Arabic
Armenian
Azerbaijani
Basque
Belarusian
Bemba
Bengali
Bihari
Bosnian
Breton
Bulgarian
Cambodian
Catalan
Cebuano
Cherokee
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Ewe
Faroese
Filipino
Finnish
Frisian
Ga
Galician
Georgian
German
Greek
Guarani
Gujarati
Haitian Creole
Hausa
Hawaiian
Hebrew
Hindi
Hmong
Hungarian
Icelandic
Igbo
Indonesian
Interlingua
Irish
Italian
Japanese
Javanese
Kannada
Kazakh
Kinyarwanda
Kirundi
Kongo
Korean
Krio (Sierra Leone)
Kurdish
Kurdish (Soranรฎ)
Kyrgyz
Laothian
Latin
Latvian
Lingala
Lithuanian
Lozi
Luganda
Luo
Luxembourgish
Macedonian
Malagasy
Malay
Malayalam
Maltese
Maori
Marathi
Mauritian Creole
Moldavian
Mongolian
Myanmar (Burmese)
Montenegrin
Nepali
Nigerian Pidgin
Northern Sotho
Norwegian
Norwegian (Nynorsk)
Occitan
Oriya
Oromo
Pashto
Persian
Polish
Portuguese (Brazil)
Portuguese (Portugal)
Punjabi
Quechua
Romanian
Romansh
Runyakitara
Russian
Samoan
Scots Gaelic
Serbian
Serbo-Croatian
Sesotho
Setswana
Seychellois Creole
Shona
Sindhi
Sinhalese
Slovak
Slovenian
Somali
Spanish
Spanish (Latin American)
Sundanese
Swahili
Swedish
Tajik
Tamil
Tatar
Telugu
Thai
Tigrinya
Tonga
Tshiluba
Tumbuka
Turkish
Turkmen
Twi
Uighur
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Wolof
Xhosa
Yiddish
Yoruba
Zulu
It's time now for us to do exercise five and what we're going to do here is we're going to practice
preparing data for analysis.
And there's quite a few different steps that I'd like you to take him.
So using this data, I would first like you to remove all blank rows.
I then like you to remove any duplicate records.
I'd like you to apply the correct number formatting to each column, so check every single column and
make sure you have the correct number formatting applied.
And then I'd like you to add a new column to the right of Column E and Name Region Code.
And then in that column, using functions, I'd like you to combine the store code and the country fields
so that the format is AB de Dash UK.
And then finally, I'd like you to put all of this data into a table and name the table store underscore
sales.
So quite a bit to do there.
We have covered all of this throughout this course, so hopefully you won't have too many problems there.
Now is the time to pause the video, but if you'd like to see my answer, then please keep watching.
So the first thing I'm going to do here is we're going to remove all of the blank rows from data set.
So let's select our dataset on the home river and we're going to go up to find and select and into go
to special.
And from here, we're going to select blanks.
Click on OK.
Once we have all of those blank was selected, we can simply jump up to delete and choose to delete
sheet rows.
Now, the second thing I asked you to do was to remove any duplicate records from your dataset, and
we have a specific button on the data tab to do this for us, and that is called remove duplicates.
So let's click it.
I'm checking for exact duplicates.
So where the information is exactly the same in every single column?
Let's click on OK, and it's found two duplicates in my data, and it's removed them for me.
The next thing I asked you to do was to apply the correct number formatting to each column.
So if I take a look at Column A, I can see that I don't have the correct formatting applied here,
so I'm going to control shift down Arrow to select all of the data from the home tablet's click the
dropdown and choose the short date format.
Now, looking across everything else looks pretty good.
The only thing I would probably do here is apply some currency formatting to this sales column.
So control shift down Arrow, and I'm going to jump up to the dropdown.
Let's select currency and I'm going to take this decimal places down to zero.
The next thing I asked you to do was to add a new column to the right of Column E and name it region
code.
So let's click to the right of Column E, right click and insert a brand new column.
Now this needs the heading of region.
Oops!
Region code I'm going to double click just to make that column a little bit wider.
Now what I asked you to do here was to use functions to combine the store code, which we have just
here with the country code.
And these two need to be separated with a space dash space.
Now there are a few different ways that you can do this.
You could use the contacts function or you can simply use ampersand, and that's how I'm going to do
it this time round.
So let's type in equals.
We're going to select the store code and we want to join it with so ampersand sign space dash space.
Now, as that is text, it needs to go in quote marks space dash space.
Quote Mark Ampersand again because we want to join that to.
The country value her answer, and we should get the format that we're looking for.
Now if you used Conker.
Let me just show you how that would work if you were using canned cat instead of Amazon's.
This time we want text one, which is the store code comma text two.
It's going to be as space dash space.
So in quote marks space dash space, close quote marks comma, and then we want our next piece of text.
So whichever method you use, it's entirely up to you.
Let's answer, and then we can double click to copy that down.
Now, the final thing I asked you to do here was to put this new clean data set into an Excel table
and then name the table store underscore sales.
So a quick way to create a table control.
T yes, my table has headers.
Let's click on.
OK.
And of course, you can change this color, which is exactly what I'm going to do right now.
Let's make that green.
And on the table, design ribbon in the properties group where we have table one.
I'm just going to rename this to stool, underscore sales and hit enter.
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.