<caption><image_0>The image is a screenshot of a computer screen with a window open. The window appears to be a software interface with a white background. On the left side of the window, there is a menu bar with various options such as File, Edit, View, Tools, and Help. At the top of the screen, there are several tabs and menus, including a search bar, a menu menu, and a toolbar. 

In the center of the image, there appears to have a blank space for the user to enter their name, email, and other information. Below the search bar and menu bar, it seems like the user is in the process of creating a new project or editing the project.

On the right side of this window, the user has a list of options to choose from, such as "File", "Edit", "View", "Help", and "Help". There are also several buttons and menus visible on the top right corner of the screenshot.</caption><transcript><audio_1> En statistique, les valeurs vides, les valeurs manquantes, les gens qui ne répondent pas à certaines questions, cela peut poser de gros problèmes. Cela peut générer des erreurs de calcul, cela peut même renvoyer</transcript><transcript><audio_2> et nous bloquer. Les valeurs manquantes sont assez problématiques et en général, on va avoir tendance à éliminer ou à mettre sur</transcript><transcript><audio_3> ça ne bloque pas le système. En fait, on a trois grandes catégories de possibilités lorsque nous sommes face à une valeur vide. Soit on conserve la non-réponse,</transcript><transcript><audio_4> lorsqu'il s'agit de questions ouvertes, des gens répondent ou des gens ne répondent pas. Quelquefois, on peut aussi remplacer par la moyenne, s'il s'agit d'une valeur quantitative. Si je prends des notes d'études</transcript><transcript><audio_5> avoir une valeur vide pour l'élément du pont, je vais lui mettre la moyenne de l'ensemble de mes étudiants. On peut également mettre le mode s'il s'agit d'une valeur nominale. Ainsi, lorsque les gens répondent blanc, bleu,</transcript><transcript><audio_6> on ne va pas pouvoir faire une moyenne. Donc forcément, ce qu'on peut faire, c'est si le bleu a été cité le plus couramment, pour la personne qui n'a pas répondu, on va arbitrairement lui mettre la couleur bleue.</transcript> the treatment of missing values ​​in statistics empty values ​​missing values people who do not answer certain questions little this can cause big problems it can generate calculation errors it can even send error messages and therefore block us missing values ​​are quite problematic and in general we will tend to eliminate putting arbitrary values ​​so that this does not block the system in fact we have three main categories of possibility when we are faced with an empty value either we  keeps the non-response it can sometimes be acceptable when it comes to open questions people answer or people do not answer sometimes also replaced by the average if it is a quantitative value average if it is a quantitative value if I take  student notes is good rather than having an empty value for the dupont element I put the average of all of my students we can also put the mode if it is a nominal value thus when  people answer white blue yellow color to be able to take an average so obviously what we can do is if blue was cited most commonly and well for the person who did not answer we will arbitrarily give it the color  we can also
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