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    "append_case",
    "append_row",
    "are_duplicated",
    "as_tibble",
    "as_tsibble",
    "build_tsibble",
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    "duplicates",
    "fill_gaps",
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    "fiscal_year",
    "gcd_interval",
    "group_by_key",
    "guess_frequency",
    "has_gaps",
    "holiday_aus",
    "index",
    "index_by",
    "index_valid",
    "index_var",
    "index2",
    "index2_var",
    "intersect",
    "interval",
    "interval_pull",
    "is_53weeks",
    "is_duplicated",
    "is_grouped_ts",
    "is_ordered",
    "is_regular",
    "is_regular_interval",
    "is_tsibble",
    "is_yearmonth",
    "is_yearquarter",
    "is_yearweek",
    "key",
    "key_data",
    "key_drop_default",
    "key_rows",
    "key_size",
    "key_vars",
    "make_yearmonth",
    "make_yearquarter",
    "make_yearweek",
    "measured_vars",
    "measures",
    "n_keys",
    "new_data",
    "new_interval",
    "new_tsibble",
    "scale_alpha_yearmonth",
    "scale_alpha_yearquarter",
    "scale_alpha_yearweek",
    "scale_color_yearmonth",
    "scale_color_yearquarter",
    "scale_color_yearweek",
    "scale_colour_yearmonth",
    "scale_colour_yearquarter",
    "scale_colour_yearweek",
    "scale_fill_yearmonth",
    "scale_fill_yearquarter",
    "scale_fill_yearweek",
    "scale_size_yearmonth",
    "scale_size_yearquarter",
    "scale_size_yearweek",
    "scale_x_yearmonth",
    "scale_x_yearquarter",
    "scale_x_yearweek",
    "scale_y_yearmonth",
    "scale_y_yearquarter",
    "scale_y_yearweek",
    "scan_gaps",
    "setdiff",
    "slide_tsibble",
    "stretch_tsibble",
    "tibble",
    "tile_tsibble",
    "time_in",
    "tsibble",
    "union",
    "unnest_tsibble",
    "update_tsibble",
    "yearmonth",
    "yearquarter",
    "yearweek"
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      "title": "Pedestrian counts in the city of Melbourne",
      "object": "pedestrian",
      "class": [
        "tbl_ts",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "Date_Time",
        "Date",
        "Time",
        "Count"
      ],
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      "table": true,
      "tojson": true
    },
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      "object": "tourism",
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        "tbl_ts",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "Quarter",
        "Region",
        "State",
        "Purpose",
        "Trips"
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      "page": "tsibble-package",
      "title": "tsibble: tidy temporal data frames and tools",
      "topics": [
        "tsibble-package"
      ]
    },
    {
      "page": "as-tibble",
      "title": "Coerce to a tibble or data frame",
      "topics": [
        "as_tibble.tbl_ts"
      ]
    },
    {
      "page": "as-tsibble",
      "title": "Coerce to a tsibble object",
      "topics": [
        "as_tsibble",
        "as_tsibble.mts",
        "as_tsibble.ts"
      ]
    },
    {
      "page": "as.ts.tbl_ts",
      "title": "Coerce a tsibble to a time series",
      "topics": [
        "as.ts.tbl_ts"
      ]
    },
    {
      "page": "build_tsibble",
      "title": "Low-level constructor for a tsibble object",
      "topics": [
        "build_tsibble"
      ]
    },
    {
      "page": "count_gaps",
      "title": "Count implicit gaps",
      "concept": [
        "implicit gaps handling"
      ],
      "topics": [
        "count_gaps"
      ]
    },
    {
      "page": "difference",
      "title": "Lagged differences",
      "topics": [
        "difference"
      ]
    },
    {
      "page": "fill_gaps",
      "title": "Turn implicit missing values into explicit missing values",
      "concept": [
        "implicit gaps handling"
      ],
      "topics": [
        "fill_gaps"
      ]
    },
    {
      "page": "filter_index",
      "title": "A shorthand for filtering time index for a tsibble",
      "topics": [
        "filter_index"
      ]
    },
    {
      "page": "group_by_key",
      "title": "Group by key variables",
      "topics": [
        "group_by_key"
      ]
    },
    {
      "page": "guess_frequency",
      "title": "Guess a time frequency from other index objects",
      "topics": [
        "guess_frequency"
      ]
    },
    {
      "page": "has_gaps",
      "title": "Does a tsibble have implicit gaps in time?",
      "concept": [
        "implicit gaps handling"
      ],
      "topics": [
        "has_gaps"
      ]
    },
    {
      "page": "holiday_aus",
      "title": "Australian national and state-based public holiday",
      "topics": [
        "holiday_aus"
      ]
    },
    {
      "page": "index-rd",
      "title": "Return index variable from a tsibble",
      "topics": [
        "index",
        "index2",
        "index2_var",
        "index_var"
      ]
    },
    {
      "page": "index-by",
      "title": "Group by time index and collapse with 'summarise()'",
      "topics": [
        "index_by"
      ]
    },
    {
      "page": "index_valid",
      "title": "Add custom index support for a tsibble",
      "topics": [
        "index_valid"
      ]
    },
    {
      "page": "regular",
      "title": "Meta-information of a tsibble",
      "topics": [
        "interval",
        "is_ordered",
        "is_regular"
      ]
    },
    {
      "page": "interval-pull",
      "title": "Pull time interval from a vector",
      "topics": [
        "interval_pull"
      ]
    },
    {
      "page": "duplicates",
      "title": "Test duplicated observations determined by key and index variables",
      "topics": [
        "are_duplicated",
        "duplicates",
        "is_duplicated"
      ]
    },
    {
      "page": "is-tsibble",
      "title": "If the object is a tsibble",
      "topics": [
        "is_grouped_ts",
        "is_tsibble"
      ]
    },
    {
      "page": "key",
      "title": "or other tidyselect-compatible functions, 'key_vars()' acts as a selection helper that automatically selects all key columns from the tsibble.",
      "topics": [
        "key",
        "key_vars"
      ]
    },
    {
      "page": "key-data",
      "title": "Key metadata",
      "topics": [
        "key_data",
        "key_rows",
        "key_size",
        "n_keys"
      ]
    },
    {
      "page": "measured-vars",
      "title": "Return measured variables",
      "topics": [
        "measured_vars",
        "measures"
      ]
    },
    {
      "page": "new-data",
      "title": "New tsibble data and append new observations to a tsibble",
      "topics": [
        "append_case",
        "append_row",
        "new_data",
        "new_data.tbl_ts"
      ]
    },
    {
      "page": "new-interval",
      "title": "Interval constructor for a tsibble",
      "topics": [
        "gcd_interval",
        "is_regular_interval",
        "new_interval"
      ]
    },
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