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Plot results

Usage

plot_results(
  grouped_data,
  x_col = "model",
  y_col = "quantity_sum",
  fill_col = "process"
)

Arguments

grouped_data

data.frame with grouped rawdata as retrieved by function group_data()

x_col

column name to be used for plotting on x-axis (default: "model")

y_col

column name to be used for plotting on y-axis (default: "quantity_sum")

fill_col

column name to be used for filling (default: "process")

Value

simple plots for all different groups

Examples

zipfile <- system.file("extdata/umberto-nxt_v7.1.0.13.503/Beispiel_Auswertung.zip", 
package = "kwb.umberto")
umberto7_csv_dir <- file.path(tempdir(), "Beispiel_Auswertung")
unzip(zipfile, exdir = umberto7_csv_dir)
umberto7_rawdata <- kwb.umberto::import_rawdata(csv_dir = umberto7_csv_dir)
#> Importing csv file 'C:\Users\RUNNER~1\AppData\Local\Temp\RtmpGUBArj/Beispiel_Auswertung/Ref_High_C+N.csv'
#>  Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> Rows: 19996 Columns: 12
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (11): Project, Model, Net, Timestamp, Product, LCI Method, Phase, Proces...
#> dbl  (1): Quantity
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Importing csv file 'C:\Users\RUNNER~1\AppData\Local\Temp\RtmpGUBArj/Beispiel_Auswertung/Ref_High_C+high N.csv'
#>  Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> Rows: 19996 Columns: 12
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (11): Project, Model, Net, Timestamp, Product, LCI Method, Phase, Proces...
#> dbl  (1): Quantity
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Importing csv file 'C:\Users\RUNNER~1\AppData\Local\Temp\RtmpGUBArj/Beispiel_Auswertung/Ref_Low_C+N.csv'
#>  Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> Rows: 19996 Columns: 12
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (11): Project, Model, Net, Timestamp, Product, LCI Method, Phase, Proces...
#> dbl  (1): Quantity
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Importing csv file 'C:\Users\RUNNER~1\AppData\Local\Temp\RtmpGUBArj/Beispiel_Auswertung/Ref_Low_C+high N.csv'
#>  Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> Rows: 19996 Columns: 12
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (11): Project, Model, Net, Timestamp, Product, LCI Method, Phase, Proces...
#> dbl  (1): Quantity
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
umberto7_data_grouped <- kwb.umberto::group_data(umberto7_rawdata)
kwb.umberto::plot_results(grouped_data = umberto7_data_grouped)










umberto10_csv_dir <- system.file("extdata/umberto-lca+_v10.1.0.3.146", 
package = "kwb.umberto")
umberto10_rawdata <- kwb.umberto::import_rawdata(csv_dir = umberto10_csv_dir)
#> Importing csv file 'D:/a/_temp/Library/kwb.umberto/extdata/umberto-lca+_v10.1.0.3.146/smartech2_model-v0.1.0_input-v0.3.1.csv'
#>  Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> Rows: 8456 Columns: 15
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (14): Project, Model, Net, Timestamp, Product, Product Name, Product Arr...
#> dbl  (1): Quantity
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
umberto10_data_grouped <- kwb.umberto::group_data(umberto10_rawdata)
kwb.umberto::plot_results(grouped_data = umberto10_data_grouped)