{
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  "Title": "Multivariate Exploratory Data Analysis",
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  "Description": "Exploratory data analysis methods to summarize, visualize\nand describe datasets. The main principal component methods are\navailable, those with the largest potential in terms of\napplications: principal component analysis (PCA) when variables\nare quantitative, correspondence analysis (CA) when variables\nare categorical, Multiple Factor Analysis (MFA) when variables\nare structured in groups.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/alexym1/booklet,\nhttps://alexym1.github.io/booklet/",
  "BugReports": "https://github.com/alexym1/booklet/issues",
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  "Date/Publication": "2025-09-02 18:26:27 UTC",
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    "User": "root"
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    "ca_col_coords",
    "ca_col_cos2",
    "ca_col_inertia",
    "ca_col_sup_coords",
    "ca_col_sup_cos2",
    "ca_row_contrib",
    "ca_row_coords",
    "ca_row_cos2",
    "ca_row_inertia",
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    "ca_row_sup_cos2",
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    "ca_standardize_sup",
    "ca_weighted_eigen",
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    "facto_mfa",
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    "pca_ind_contrib",
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    "pca_standardize",
    "pca_standardize_norm",
    "pca_var_contrib",
    "pca_var_coords",
    "pca_var_cor",
    "pca_var_cos2",
    "pca_weighted_eigen"
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    {
      "page": "ca_col_contrib",
      "title": "Compute col contributions",
      "topics": [
        "ca_col_contrib"
      ]
    },
    {
      "page": "ca_col_coords",
      "title": "Compute col coordinates",
      "topics": [
        "ca_col_coords",
        "ca_col_sup_coords"
      ]
    },
    {
      "page": "ca_col_cos2",
      "title": "Compute col squared cosines",
      "topics": [
        "ca_col_cos2",
        "ca_col_sup_cos2"
      ]
    },
    {
      "page": "ca_col_inertia",
      "title": "Compute col inertia",
      "topics": [
        "ca_col_inertia"
      ]
    },
    {
      "page": "ca_row_contrib",
      "title": "Compute row contributions",
      "topics": [
        "ca_row_contrib"
      ]
    },
    {
      "page": "ca_row_coords",
      "title": "Compute row coordinates",
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        "ca_row_sup_coords"
      ]
    },
    {
      "page": "ca_row_cos2",
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        "ca_row_sup_cos2"
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        "ca_standardize_sup"
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    },
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