{
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  "Package": "flattabler",
  "Title": "Obtaining a Flat Table from Pivot Tables",
  "Version": "2.1.2.9000",
  "Authors@R": "c(\nperson(\"Jose\", \"Samos\", , \"jsamos@ugr.es\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4457-3439\")),\nperson(\"Universidad de Granada\", role = \"cph\")\n)",
  "Description": "Transformations that allow obtaining a flat table from\nreports in text or Excel format that contain data in the form\nof pivot tables. They can be defined for a single report and\napplied to a set of reports.",
  "License": "MIT + file LICENSE",
  "URL": "https://josesamos.github.io/flattabler/,\nhttps://github.com/josesamos/flattabler",
  "BugReports": "https://github.com/josesamos/flattabler/issues",
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  "Repository": "https://josesamos.r-universe.dev",
  "Date/Publication": "2024-05-01 09:16:28 UTC",
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  "Maintainer": "Jose Samos <jsamos@ugr.es>",
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  "_created": "2026-10-16T10:28:48.000Z",
  "_published": "2026-10-16T10:31:43.182Z",
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    "author": "José Samos <jsamos@ugr.es>",
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    "message": "Merge pull request #7 from josesamos/copy01\n\nCopy01",
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/flattabler.html",
    "extra/manual.pdf",
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    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
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  "_homeurl": "https://github.com/josesamos/flattabler",
  "_realowner": "josesamos",
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      "date": "2020-06-29"
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    "divide",
    "extract_labels",
    "fill_labels",
    "fill_values",
    "flatten_table_list",
    "get_col_values",
    "get_page",
    "pivot_table",
    "read_excel_file",
    "read_excel_folder",
    "read_excel_sheet",
    "read_text_file",
    "read_text_folder",
    "remove_agg",
    "remove_bottom",
    "remove_cols",
    "remove_empty",
    "remove_k",
    "remove_left",
    "remove_right",
    "remove_rows",
    "remove_top",
    "replace_dec",
    "set_page",
    "unpivot"
  ],
  "_datasets": [
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      "name": "df_ex",
      "title": "Pivot table in data frame with with thousands indicator and decimal numbers",
      "object": "df_ex",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7"
      ],
      "rows": 26,
      "table": true,
      "tojson": true
    },
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      "title": "Pivot table in data frame with a column with data from two label fields",
      "object": "df_ex_compact",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7"
      ],
      "rows": 26,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_pivottabler",
      "title": "Pivot table with basic and subtotal labels in the same column",
      "object": "df_pivottabler",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_set_h",
      "title": "Set of pivot tables placed horizontally on one sheet",
      "object": "df_set_h",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "V2",
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        "V12",
        "V13",
        "V14",
        "V15",
        "V16",
        "V17",
        "V18",
        "V19",
        "V20",
        "V21",
        "V22",
        "V23",
        "V24",
        "V25",
        "V26",
        "V27",
        "V28",
        "V29",
        "V30",
        "V31",
        "V32",
        "V33",
        "V34",
        "V35",
        "V36",
        "V37",
        "V38"
      ],
      "rows": 29,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_set_h_v",
      "title": "Set of pivot tables on one sheet",
      "object": "df_set_h_v",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
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        "V8",
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        "V10",
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        "V12",
        "V13",
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        "V20",
        "V21"
      ],
      "rows": 58,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_set_v",
      "title": "Set of pivot tables placed vertically on one sheet",
      "object": "df_set_v",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 111,
      "table": true,
      "tojson": true
    },
    {
      "name": "ft_ex",
      "title": "Flat table with page from a pivot table with with thousands indicator and decimal numbers",
      "object": "ft_ex",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "page",
        "col1",
        "col2",
        "row1",
        "row2",
        "value"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "ft_ex_v2",
      "title": "Flat table without page from a pivot table with with thousands indicator and decimal numbers",
      "object": "ft_ex_v2",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "col1",
        "col2",
        "row1",
        "row2",
        "value"
      ],
      "rows": 54,
      "table": true,
      "tojson": true
    },
    {
      "name": "ft_set",
      "title": "Flat table with page from a pivot table with with thousands indicator and decimal numbers",
      "object": "ft_set",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "page",
        "col1",
        "col2",
        "row1",
        "row2",
        "value"
      ],
      "rows": 201,
      "table": true,
      "tojson": true
    },
    {
      "name": "pf_ex_compact",
      "title": "Pivot table result of transforming a data frame with a column with data from two label fields",
      "object": "pf_ex_compact",
      "class": [
        "pivot_table"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "pt_ex",
      "title": "Pivot table with with thousands indicator and decimal numbers",
      "object": "pt_ex",
      "class": [
        "pivot_table"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "define_labels",
      "title": "Define the quantity of rows and columns that contain labels",
      "concept": [
        "pivot table definition functions"
      ],
      "topics": [
        "define_labels",
        "define_labels.pivot_table"
      ]
    },
    {
      "page": "df_ex",
      "title": "Pivot table in data frame with with thousands indicator and decimal numbers",
      "concept": [
        "pivot table in data frame"
      ],
      "topics": [
        "df_ex"
      ]
    },
    {
      "page": "df_ex_compact",
      "title": "Pivot table in data frame with a column with data from two label fields",
      "concept": [
        "pivot table in data frame"
      ],
      "topics": [
        "df_ex_compact"
      ]
    },
    {
      "page": "df_pivottabler",
      "title": "Pivot table with basic and subtotal labels in the same column",
      "concept": [
        "pivot table in data frame"
      ],
      "topics": [
        "df_pivottabler"
      ]
    },
    {
      "page": "df_set_h",
      "title": "Set of pivot tables placed horizontally on one sheet",
      "concept": [
        "pivot table set in data frame"
      ],
      "topics": [
        "df_set_h"
      ]
    },
    {
      "page": "df_set_h_v",
      "title": "Set of pivot tables on one sheet",
      "concept": [
        "pivot table set in data frame"
      ],
      "topics": [
        "df_set_h_v"
      ]
    },
    {
      "page": "df_set_v",
      "title": "Set of pivot tables placed vertically on one sheet",
      "concept": [
        "pivot table set in data frame"
      ],
      "topics": [
        "df_set_v"
      ]
    },
    {
      "page": "divide",
      "title": "Divide table",
      "concept": [
        "flat table list functions"
      ],
      "topics": [
        "divide",
        "divide.pivot_table"
      ]
    },
    {
      "page": "extract_labels",
      "title": "Extract labels",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "extract_labels",
        "extract_labels.pivot_table"
      ]
    },
    {
      "page": "fill_labels",
      "title": "Fill in missing labels",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "fill_labels",
        "fill_labels.pivot_table"
      ]
    },
    {
      "page": "fill_values",
      "title": "Fill in missing values",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "fill_values",
        "fill_values.pivot_table"
      ]
    },
    {
      "page": "flatten_table_list",
      "title": "Transform a 'pivot_table' object list into a flat table",
      "concept": [
        "flat table list functions"
      ],
      "topics": [
        "flatten_table_list"
      ]
    },
    {
      "page": "ft_ex",
      "title": "Flat table with page from a pivot table with with thousands indicator and decimal numbers",
      "concept": [
        "flat table"
      ],
      "topics": [
        "ft_ex"
      ]
    },
    {
      "page": "ft_ex_v2",
      "title": "Flat table without page from a pivot table with with thousands indicator and decimal numbers",
      "concept": [
        "flat table"
      ],
      "topics": [
        "ft_ex_v2"
      ]
    },
    {
      "page": "ft_set",
      "title": "Flat table with page from a pivot table with with thousands indicator and decimal numbers",
      "concept": [
        "flat table"
      ],
      "topics": [
        "ft_set"
      ]
    },
    {
      "page": "get_col_values",
      "title": "Get column values",
      "concept": [
        "flat table list functions"
      ],
      "topics": [
        "get_col_values"
      ]
    },
    {
      "page": "get_page",
      "title": "Get the page information of a pivot table",
      "concept": [
        "pivot table definition functions"
      ],
      "topics": [
        "get_page",
        "get_page.pivot_table"
      ]
    },
    {
      "page": "pf_ex_compact",
      "title": "Pivot table result of transforming a data frame with a column with data from two label fields",
      "concept": [
        "pivot table"
      ],
      "topics": [
        "pf_ex_compact"
      ]
    },
    {
      "page": "pivot_table",
      "title": "'pivot_table' S3 class",
      "concept": [
        "pivot table definition functions"
      ],
      "topics": [
        "pivot_table"
      ]
    },
    {
      "page": "pt_ex",
      "title": "Pivot table with with thousands indicator and decimal numbers",
      "concept": [
        "pivot table"
      ],
      "topics": [
        "pt_ex"
      ]
    },
    {
      "page": "read_excel_file",
      "title": "Import Excel file",
      "concept": [
        "import functions"
      ],
      "topics": [
        "read_excel_file"
      ]
    },
    {
      "page": "read_excel_folder",
      "title": "Import one sheet from each Excel file in a folder",
      "concept": [
        "import functions"
      ],
      "topics": [
        "read_excel_folder"
      ]
    },
    {
      "page": "read_excel_sheet",
      "title": "Import Excel file sheet",
      "concept": [
        "import functions"
      ],
      "topics": [
        "read_excel_sheet"
      ]
    },
    {
      "page": "read_text_file",
      "title": "Import text file",
      "concept": [
        "import functions"
      ],
      "topics": [
        "read_text_file"
      ]
    },
    {
      "page": "read_text_folder",
      "title": "Import all text files in a folder",
      "concept": [
        "import functions"
      ],
      "topics": [
        "read_text_folder"
      ]
    },
    {
      "page": "remove_agg",
      "title": "Remove rows and columns with aggregated data",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_agg",
        "remove_agg.pivot_table"
      ]
    },
    {
      "page": "remove_bottom",
      "title": "Remove bottom rows from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_bottom",
        "remove_bottom.pivot_table"
      ]
    },
    {
      "page": "remove_cols",
      "title": "Remove columns from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_cols",
        "remove_cols.pivot_table"
      ]
    },
    {
      "page": "remove_empty",
      "title": "Remove empty rows and columns from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_empty",
        "remove_empty.pivot_table"
      ]
    },
    {
      "page": "remove_k",
      "title": "Remove thousands separator",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_k",
        "remove_k.pivot_table"
      ]
    },
    {
      "page": "remove_left",
      "title": "Remove left columns from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_left",
        "remove_left.pivot_table"
      ]
    },
    {
      "page": "remove_right",
      "title": "Remove right columns from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_right",
        "remove_right.pivot_table"
      ]
    },
    {
      "page": "remove_rows",
      "title": "Remove rows from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_rows",
        "remove_rows.pivot_table"
      ]
    },
    {
      "page": "remove_top",
      "title": "Remove top rows from a pivot table",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "remove_top",
        "remove_top.pivot_table"
      ]
    },
    {
      "page": "replace_dec",
      "title": "Replace decimal separator",
      "concept": [
        "pivot table transformation functions"
      ],
      "topics": [
        "replace_dec",
        "replace_dec.pivot_table"
      ]
    },
    {
      "page": "set_page",
      "title": "Set page information to a pivot table",
      "concept": [
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      "title": "Transforming a pivot table into a flat table with the flattabler package",
      "author": "Jose Samos (jsamos@ugr.es)",
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        "Introduction",
        "An illustrative example",
        "Pivot table",
        "Obtaining a flat table",
        "Transforming a set of pivot tables",
        "Pivot table operations",
        "Pivot table import",
        "Operations that return an object",
        "Operations that return a list of objects",
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        "Define pivot table characteristics",
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        "Pivot table transformation",
        "Transform labels",
        "Transform values",
        "Flat table generation",
        "Generation from a pivot table",
        "Generation from a list of pivot tables",
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