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  "Author": "Seth Leonard [aut, cre], Jiancong Liu [ctb]",
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  "Description": "Utilities for mixed frequency data. In particular, use to\naggregate and normalize tabular mixed frequency data, index\ndates to end of period, and seasonally adjust tabular data.",
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    },
    {
      "page": "agg_to_freq_wide",
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    },
    {
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      "title": "Rows with only finite values",
      "topics": [
        "all_finite"
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    {
      "page": "allNA",
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      "topics": [
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      ]
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    {
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      "topics": [
        "any_finite"
      ]
    },
    {
      "page": "can_seasonal",
      "title": "Can data be seasonally adjusted?",
      "topics": [
        "can_seasonal"
      ]
    },
    {
      "page": "col_to_list",
      "title": "Convert columns to list",
      "topics": [
        "col_to_list"
      ]
    },
    {
      "page": "comp_form",
      "title": "Companion Form",
      "topics": [
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      ]
    },
    {
      "page": "count_obs",
      "title": "Count observations",
      "topics": [
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    },
    {
      "page": "day",
      "title": "Return the day of a Date value",
      "topics": [
        "day"
      ]
    },
    {
      "page": "Diff",
      "title": "Difference data",
      "topics": [
        "Diff"
      ]
    },
    {
      "page": "end_of_period",
      "title": "End of period date",
      "topics": [
        "end_of_period"
      ]
    },
    {
      "page": "end_of_year",
      "title": "End of Year",
      "topics": [
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      "topics": [
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    {
      "page": "fill_forward",
      "title": "Fill Forward",
      "topics": [
        "fill_forward"
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    },
    {
      "page": "first_of_month",
      "title": "First of month",
      "topics": [
        "first_of_month"
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    },
    {
      "page": "first_of_quarter",
      "title": "First of Quarter",
      "topics": [
        "first_of_quarter"
      ]
    },
    {
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      "title": "First of previous quarter date",
      "topics": [
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    },
    {
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      "title": "Sample mixed frequency data from FRED",
      "topics": [
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    },
    {
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      "title": "Library of metadata for mixed frequency dataset `fred`",
      "topics": [
        "fredlib"
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    },
    {
      "page": "get_data_frq",
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      "topics": [
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      "title": "Get from list",
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    {
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    },
    {
      "page": "last_in_month",
      "title": "Last date in the month",
      "topics": [
        "last_in_month"
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    },
    {
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      "topics": [
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      "topics": [
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    },
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      "page": "last_obs",
      "title": "Last observation",
      "topics": [
        "last_obs"
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    },
    {
      "page": "limit_character",
      "title": "Limit Characters",
      "topics": [
        "limit_character"
      ]
    },
    {
      "page": "long_run_var",
      "title": "Long Run Variance of a VAR",
      "topics": [
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      "page": "match_index",
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      "topics": [
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      "page": "match_ts_dates",
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      "topics": [
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    {
      "page": "mean_na",
      "title": "Return the mean",
      "topics": [
        "mean_na"
      ]
    },
    {
      "page": "month_days",
      "title": "Number of days in a given month",
      "topics": [
        "month_days"
      ]
    },
    {
      "page": "number_finite",
      "title": "Number of finite values in a column",
      "topics": [
        "number_finite"
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    },
    {
      "page": "numdum",
      "title": "Dummies for Numeric Data",
      "topics": [
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    {
      "page": "pct_chng",
      "title": "Percent change",
      "topics": [
        "pct_chng"
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    },
    {
      "page": "pct_response",
      "title": "Percent of responses at a given frequency",
      "topics": [
        "pct_response"
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    },
    {
      "page": "process",
      "title": "Process Data",
      "topics": [
        "process"
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    {
      "page": "process_MF",
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      "topics": [
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      "topics": [
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      "page": "rollmin",
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      "page": "seas_df_long",
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      "topics": [
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      "page": "seas_df_wide",
      "title": "Seasonally adjust wide format data using seas()",
      "topics": [
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    {
      "page": "spline_fill",
      "title": "Spline fill missing observations",
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  "_vignettes": [
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      "title": "Introduction to dateutils",
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      "headings": [
        "Non-Technical Overview",
        "Getting Started",
        "Seasonal Adjustment",
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