List all sheets in an excel spreadsheet.

excel_sheets(path)

Arguments

path

Path to the xls/xlsx file

Examples

excel_sheets(readxl_example("datasets.xlsx"))
#> [1] "iris" "mtcars" "chickwts" "quakes"
excel_sheets(readxl_example("datasets.xls"))
#> [1] "iris" "mtcars" "chickwts" "quakes"
# To load all sheets in a workbook, use lapply path <- readxl_example("datasets.xls") lapply(excel_sheets(path), read_excel, path = path)
#> [[1]] #> # A tibble: 150 x 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> <dbl> <dbl> <dbl> <dbl> <chr> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3.0 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5.0 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5.0 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.1 setosa #> # ... with 140 more rows #> #> [[2]] #> # A tibble: 32 x 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 #> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 #> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 #> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> # ... with 22 more rows #> #> [[3]] #> # A tibble: 71 x 2 #> weight feed #> <dbl> <chr> #> 1 179 horsebean #> 2 160 horsebean #> 3 136 horsebean #> 4 227 horsebean #> 5 217 horsebean #> 6 168 horsebean #> 7 108 horsebean #> 8 124 horsebean #> 9 143 horsebean #> 10 140 horsebean #> # ... with 61 more rows #> #> [[4]] #> # A tibble: 1,000 x 5 #> lat long depth mag stations #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 -20.42 181.62 562 4.8 41 #> 2 -20.62 181.03 650 4.2 15 #> 3 -26.00 184.10 42 5.4 43 #> 4 -17.97 181.66 626 4.1 19 #> 5 -20.42 181.96 649 4.0 11 #> 6 -19.68 184.31 195 4.0 12 #> 7 -11.70 166.10 82 4.8 43 #> 8 -28.11 181.93 194 4.4 15 #> 9 -28.74 181.74 211 4.7 35 #> 10 -17.47 179.59 622 4.3 19 #> # ... with 990 more rows #>