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
Welcome to this section.
In this section, we're going to now start creating some reports within the Power BI desktop.
We're going to be using the BI visualizations to be able to do this.
Now we're going to be working with three main visualizations in this section.
We're going to start off with the table visualization just so that we can see how Power BI easily summarizes
and aggregates your data.
Then we're going to move into your matrix and we're going to also use the card visualization.
What's going to be looking at different methods of aggregation.
So we're going to be seeing that we can change the method of aggregation by default.
We sum up our data, but we may want to know what is the average or what was the minimum value or the
maximum value.
How do we do a count?
We'll also see that there's other functions as well, such as distinct count, which can be really useful.
Then we're going to move into looking at how we use slices.
Now, if you've ever used Excel slices, you'll know that slices are used to filter your data.
So basically it's going to give the user a graphical control that they can select different options,
and then the other visualizations within the page will be filtered according to the selections that
have been selected.
So really powerful.
And we're also going to look then at how we can actually filter within a visualization.
So you're going to see that we've got visual level filters as well that we can apply.
So lots of powerful features that we've got just within the section alone.
But yet again, let's jump into the lessons and let's see how we do this.
I'll see you there.
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.