factominer.free.fr évaluation et analyse
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | FactoMineR: Exploratory Multivariate Data Analysis with |
| Description | About FactoMineR, an R package dedicated to multivariate Exploratory Data |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 212.27.63.116 |
| Location | France |
Plus à explorer
factominer.free.fr Évaluation
|
Euro€1,061
Dernière mise à jour: 2022-07-16 10:19:00
factominer.free.fr a un classement mondial Semrush de 0. factominer.free.fr a une valeur estimée à € 1,061, sur la base de ses revenus publicitaires estimés. factominer.free.fr reçoit environ 122 visiteurs uniques chaque jour. Son serveur Web est situé au France, avec l'adresse IP 212.27.63.116.Selon SiteAdvisor, factominer.free.fr est sûr à visiter. |
Trafic & Estimations de la valeur
| Valeur d'achat/vente | Euro€1,061 |
| Revenus publicitaires quotidiens | Euro€0 |
| Revenus publicitaires mensuels | Euro€29 |
| Revenus publicitaires annuels | Euro€352 |
| Visiteurs uniques quotidiens | 8 |
| Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. | |
DNS Records
| Host | Type | TTL | Data |
| factominer.free.fr. | A | 3600 | IP: perso116-g5.free.fr. |
| perso116-g5.free.fr. | A | 7199 | IP: 212.27.63.116 |
| factominer.free.fr. | AAAA | 3599 | IPV6: perso116-g5.free.fr. |
| factominer.free.fr. | NS | 3600 | NS Record: perso116-g5.free.fr. |
| factominer.free.fr. | MX | 3599 | MX Record: perso116-g5.free.fr. |
| factominer.free.fr. | TXT | 3599 | TXT Record: perso116-g5.free.fr. |
HtmlToTextCheckTime:2022-07-16 10:19:00
| Home Facto’s Methods Teaching MOOC, books Graphicenhancements Missing values missMDA Automatic Reporting Google group More Contact --> Stats Adv Stats Graphs Adv Graphs --> About FactoMineR FactoMineR is an R package dedicated to multivariate Exploratory Data Analysis. It is developed and maintained by Franois Husson, Julie Josse, Sbastien L, d’Agrocampus Rennes, and J. Mazet. Why Use FactoMineR? It performs classical principal component methods : Principal Components Analysis (PCA), Correspondence analysis (CA), Multiple Correspondence Analysis (MCA), clustering as well as advanced methods that take into account a structure on the data (groups of variables, hierarchy on the variables, groups of individuals). It allows to add supplementary informations such as supplementary individuals and/or variables. It provides a geometrical point of view, a lot of graphical outputs, helps to interpret (automatic description of the dimensions, various indicators, ...). Lot of materials ( |
HTTP Headers
HTTP/1.1 200 OK Date: Tue, 02 Nov 2021 06:46:30 GMT Server: Apache/ProXad [Jan 23 2019 20:05:46] Last-Modified: Thu, 24 Jan 2019 16:05:09 GMT ETag: "5cacb1-1e4b-5c49e235" Connection: close Accept-Ranges: bytes Content-Length: 7755 Content-Type: text/html |