00:01
Okay, so we're going to discuss data visualization and i'm not going to write an essay, but i'm going to give you some bullet points and some ideas on how you can, what you can say in your paragraph or your essay, depending how long you want to write about data visualization.
00:19
So what is data visualization? we're just going to write data viz.
00:29
What is it? well, you can describe it in very fancy terms, but to me, data visualization is transforming data in a database into understandable visuals.
01:10
So usually when data are stored in a database, they're usually stored as what we might interpret as tables, just like an excel file.
01:21
So you might have a bunch of columns and a bunch of rows.
01:27
So here you might have age, gender, amount of money, job, i don't know, color of car.
01:46
So you might have a bunch of data in a table, in a database, and you might have someone who's five years old, female, has zero dollar, no job, and no car.
01:59
And you might have a 100 -year -old man who has $2, he's retired, and he has a brown car.
02:13
But you might have thousands of these in a table and people cannot read table.
02:18
It's very impractical to read a database.
02:20
So when you put this into a data visualization, i'm going to write dv for data visualization.
02:30
It would be transforming it into pie charts where you can condense a bunch of information so you can say like, oh, this is the percentage of people between 18 and 24.
02:42
This might be the percentage of people less than 18.
02:45
This is the amount of people above 65, things like that you might create.
02:51
Line graphs about the amount of here might be money and here might be age.
03:06
So on one axis you have money and the other axis you have the age of people.
03:12
So data visualization is transforming so we can maybe add a bit to our definition.
03:20
Large, mostly large.
03:23
It works also with smaller data set but someone can read a small table.
03:28
It's data visualization.
03:31
The larger the dataset, the more useful and important it is.
03:36
Large data in a database, large data sets can remove this part here, into understandable and readable...