Highlight continue with our project and this video where doing some exploratory analysis so fraught,
we need to involve law enforcement because the I said, do we need to extract further information from
the dataset so we can understand Marshall al-Juburi data, not info.
And then execute a sale and you say we got our sale.
We got the only data that we need.
So I said additional information is written for Olavarria contended that I said so to get a preview
of the data contained in it, we can calculate ICRA a basic statistic so we can use that least and shot.
So let.
Creating a new variable called summary data.
This great.
And then you can hear.
Summary equa.
Somehow I don't transpose.
And then you can bring the.
Samari.
And we got the following summary.
So that is a function, generally descriptive statistics that summarize the central tendency, dispersion
and shape of our dataset distribution, including not a number and and values.
So it analyzes what Normal Rate and Objects series as well.
The data from columns says that high the output will vary depending on what is provided.
So as you can see that the variable is defined range when the predictors have different ranges that
impact on respon variables by the features.
Having a greater normal range could be more than one having a lesser normal range.
And this could in turn impact prediction accuracy.
So our goal is to improve the predictive accuracy and not allow a particular feature to impact the prediction
due to a normal range.
Does.
We may need to scale values and different features so that they fall under a common range through this
statistical procedure.
Is it possible to compare identical variables belonging to different distributions and also different
variables, all variables in a different unit?
So that is the end of this video.
I hope you enjoy it and.
I will see you in the next video.