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Highlight continue with our project and this video where doing some exploratory analysis so fraught,

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we need to involve law enforcement because the I said, do we need to extract further information from

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the dataset so we can understand Marshall al-Juburi data, not info.

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And then execute a sale and you say we got our sale.

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We got the only data that we need.

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So I said additional information is written for Olavarria contended that I said so to get a preview

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of the data contained in it, we can calculate ICRA a basic statistic so we can use that least and shot.

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So let.

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Creating a new variable called summary data.

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This great.

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And then you can hear.

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Summary equa.

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Somehow I don't transpose.

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And then you can bring the.

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Samari.

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And we got the following summary.

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So that is a function, generally descriptive statistics that summarize the central tendency, dispersion

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and shape of our dataset distribution, including not a number and and values.

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So it analyzes what Normal Rate and Objects series as well.

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The data from columns says that high the output will vary depending on what is provided.

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So as you can see that the variable is defined range when the predictors have different ranges that

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impact on respon variables by the features.

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Having a greater normal range could be more than one having a lesser normal range.

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And this could in turn impact prediction accuracy.

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So our goal is to improve the predictive accuracy and not allow a particular feature to impact the prediction

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due to a normal range.

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Does.

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We may need to scale values and different features so that they fall under a common range through this

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statistical procedure.

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Is it possible to compare identical variables belonging to different distributions and also different

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variables, all variables in a different unit?

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So that is the end of this video.

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I hope you enjoy it and.

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I will see you in the next video.