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R/data.R

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#' * **Date**: Date when the pedestrian counts are recorded
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#' * **Time**: Hour associated with Date_Time
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#' * **Counts**: Hourly pedestrian counts
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#' @references [Melbourne Open Data Portal](https://data.melbourne.vic.gov.au/Transport-Movement/Pedestrian-volume-updated-monthly-/b2ak-trbp)
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#' @docType data
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#' @name pedestrian
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#' @usage pedestrian

README.Rmd

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# tsibble <img src="man/figures/logo.png" align="right" />
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[![R build status](https://github.com/tidyverts/tsibble/workflows/R-CMD-check/badge.svg)](https://github.com/tidyverts/tsibble/actions?workflow=R-CMD-check)
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[![Coverage Status](https://codecov.io/gh/tidyverts/tsibble/branch/main/graph/badge.svg)](https://codecov.io/github/tidyverts/tsibble?branch=main)
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[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/tsibble)](https://cran.r-project.org/package=tsibble)
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```{r, echo = FALSE}

README.md

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[![R build
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status](https://github.com/tidyverts/tsibble/workflows/R-CMD-check/badge.svg)](https://github.com/tidyverts/tsibble/actions?workflow=R-CMD-check)
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[![Coverage
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Status](https://codecov.io/gh/tidyverts/tsibble/branch/main/graph/badge.svg)](https://codecov.io/github/tidyverts/tsibble?branch=main)
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[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/tsibble)](https://cran.r-project.org/package=tsibble)
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The **tsibble** package provides a data infrastructure for tidy temporal
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#> 3 EWR 2013-01-01 03:00:00 39.0 64.4 0
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#> 4 EWR 2013-01-01 04:00:00 39.9 62.2 0
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#> 5 EWR 2013-01-01 05:00:00 39.0 64.4 0
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#> # … with 26,110 more rows
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#> # 26,110 more rows
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```
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The **key** can be comprised of empty, one, or more variables. See
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#> 3 EWR 2013-01-01 03:00:00 39.0 64.4 0
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#> 4 EWR 2013-01-01 04:00:00 39.9 62.2 0
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#> 5 EWR 2013-01-01 05:00:00 39.0 64.4 0
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#> # … with 26,185 more rows
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#> # 26,185 more rows
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```
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`fill_gaps()` also handles filling in time gaps by values or functions,
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#> 3 EWR 2013 Mar 40.1 3
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#> 4 EWR 2013 Apr 53.0 1.47
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#> 5 EWR 2013 May 63.3 5.44
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#> # … with 31 more rows
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#> # 31 more rows
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```
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While collapsing rows (like `summarise()`), `group_by()` and
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An ecosystem, [the tidyver*ts*](https://tidyverts.org/), is built around
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the *tsibble* object for tidy time series analysis.
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- The [tsibbledata](https://tsibbledata.tidyverts.org) package curates
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a range of tsibble data examples to poke around the tsibble object.
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- The [feasts](https://feasts.tidyverts.org) package provides support
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for visualising the data and extracting time series features.
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- The [fable](https://fable.tidyverts.org) package provides common
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forecasting methods for tsibble, such as ARIMA and ETS. The
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[fabletools](https://fabletools.tidyverts.org) package, which is
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**fable** built upon, lays the modelling infrastructure to ease the
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programming with tsibble.
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- The [tsibbledata](https://tsibbledata.tidyverts.org) package curates a
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range of tsibble data examples to poke around the tsibble object.
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- The [feasts](https://feasts.tidyverts.org) package provides support
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for visualising the data and extracting time series features.
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- The [fable](https://fable.tidyverts.org) package provides common
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forecasting methods for tsibble, such as ARIMA and ETS. The
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[fabletools](https://fabletools.tidyverts.org) package, which is
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**fable** built upon, lays the modelling infrastructure to ease the
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programming with tsibble.
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------------------------------------------------------------------------
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man/pedestrian.Rd

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