#11 Principal Component Analysis: Example in Excel with XLSTAT

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Configure a simple principal component analysis and interpret the outputs.

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Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples.
Do not hesitate to share your questions in the comments. We will be happy to answer you.

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Produced by: Addinsoft
Directed by: Nicolas Lorenzi
Script by: Jean Paul Maalouf
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short and clear tutorial, really helpul

arnaudjolly
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i like the all tutorials on xlstat, please i want to know when the next set of the viedos will be out!

stanitebros
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How do you change colour of the variables based on groups

Regimented
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I need to obtain a principal component regression, how could I do

chayanikabaishya
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This video is much help but I have a request to you can you help me to analyze insect toxicology data using PCA and time factor analysis on excel data sheet

SaddamHussain-ggws
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How to do a case about resolution of overlapping peaks of HPLC-DAD in xlstat?

diniannisa
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Thanks for the tutorial. I ran this with my own data but only some observations are showing up instead of all (on the plot). Any idea what to do?

Mike-uzhs
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PCA is a feature engineering technique?

siddickbasha
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Hi, how can I put a scaterplot inside PCA. King regards.

mariaeugeniaaraujosilvaoli
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how can we make confirmatory factor analysis in excel?

Walktolight
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Xlstate software is used? Plz give me the related link if u have a required.

atiqach
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The same axis is related to Height and Weight on the the right and to time spent on the left!?

KulbirAhluwalia
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Your webpage (link below) metions option for Polychoric, for ordinal data. But I cannot find it in the latest version of XLSTAT. How can I do PCA for ordinal variables (from a Likert scale survey)? Thanks

Russel_at_whatever
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Hi, how do i know F1 F2 F3 represent what?

nursyamiminorisman
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Don't we need to scale the data? Your shoe size, time and weight have different units.

atulsrivastava
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Why do you call principal components (PC) factors (F). These are two absolutely different things, which differ PCA from FA.

novikoffav