## Not run:
# library(magrittr)
# library(dplyr)
#
# # Specify a path to a CSV file
# path_to_csv <-
# system.file("examples/currencies.csv",
# package = "DiagrammeR")
#
# # To add nodes from a CSV file, call the
# # `add_nodes_from_table()` function; new node ID
# # values will be created as a monotonically-
# # increasing values from 1
# graph_1 <-
# create_graph() %>%
# add_nodes_from_table(path_to_csv)
#
# # View the graph's internal node data frame (ndf)
# # with `get_node_df()` and dplyr's `as.tbl()`
# graph_1 %>% get_node_df %>% as.tbl
# #> Source: local data frame [171 x 7]
# #>
# #> nodes type label iso_4217_code curr_number
# #> (chr) (chr) (chr) (chr) (chr)
# #> 1 1 AED 784
# #> 2 2 AFN 971
# #> 3 3 ALL 8
# #> 4 4 AMD 51
# #> 5 5 ANG 532
# #> 6 6 AOA 973
# #> 7 7 ARS 32
# #> 8 8 AUD 36
# #> 9 9 AWG 533
# #> 10 10 AZN 944
# #> .. ... ... ... ... ...
# #> Variables not shown: exponent (chr)
# #> currency_name (chr)
#
# # If you would like to assign any of the table's
# # columns as `type` or `label` attributes, this can
# # be done with the `type_col` and `label_col`
# # arguments; to set a static `type` attribute for
# # all of the table records, use `set_type`
# graph_2 <-
# create_graph() %>%
# add_nodes_from_table(
# path_to_csv,
# set_type = "currency",
# label_col = "iso_4217_code")
#
# # View the first 3 lines of the graph's internal ndf
# graph_2 %>% get_node_df %>% head(3) %>% as.tbl
# #> Source: local data frame [3 x 6]
# #>
# #> nodes type label curr_number exponent
# #> (chr) (chr) (chr) (chr) (chr)
# #> 1 1 currency AED 784 2
# #> 2 2 currency AFN 971 2
# #> 3 3 currency ALL 8 2
# #> Variables not shown: currency_name (chr)
#
# # Suppose you would like to not include certain
# # columns from the table in the resulting graph; you
# # can use the `drop_cols` argument to choose which
# # columns to not include as attributes in the graph
# graph_3 <-
# create_graph() %>%
# add_nodes_from_table(
# path_to_csv,
# set_type = "currency",
# label_col = "iso_4217_code",
# drop_cols = "exponent")
#
# graph_3 %>% get_node_df %>% head(3) %>% as.tbl
# #> Source: local data frame [3 x 5]
# #>
# #> nodes type label curr_number
# #> (chr) (chr) (chr) (chr)
# #> 1 1 currency AED 784
# #> 2 2 currency AFN 971
# #> 3 3 currency ALL 8
# #> Variables not shown: currency_name (chr)
# ## End(Not run)
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