Visualise amount of objects in Museum Collection
Version 1

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Workflow Type: Galaxy

Stable

This workflow applies text mining to a museum collection in tabular format to extract from which year most objects derive and what they are. The first steps are filtering and data cleaning to put the data in correct format. Datamash allows showing how many documents from what year the museum catalogue contains. The output is a chronological table which is visualised as a bar chart. From that, the year where most items derived from is extracted. The next step filters items only from that year. The object description from all of those items is extracted to visualise what content the museum own from that year.

SEEK ID: https://workflowhub.eu/workflows/1884?version=1

Inputs

ID	Name	Description	Type
Input	Input	Upload a tsv file with multiple rows and columns to compute on.	File
stop_words_english	stop_words_english	Upload a list of English stop words in a .txt-format.	File

Steps

ID	Name	Description
2	Cut	Cut1
3	Filter Tabular	toolshed.g2.bx.psu.edu/repos/iuc/filter_tabular/filter_tabular/3.3.1
4	Column Regex Find And Replace	toolshed.g2.bx.psu.edu/repos/galaxyp/regex_find_replace/regexColumn1/1.0.3
5	Sort	toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_sort_header_tool/9.5+galaxy2
6	Remove beginning	Remove beginning1
7	Datamash	toolshed.g2.bx.psu.edu/repos/iuc/datamash_ops/datamash_ops/1.9+galaxy0
8	Sort	toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_sort_header_tool/9.5+galaxy2
9	Bar chart	barchart_gnuplot
10	Sort	toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_sort_header_tool/9.5+galaxy2
11	Select first	toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_head_tool/9.5+galaxy2
12	Cut	Cut1
13	Parse parameter value	param_value_from_file
14	Compose text parameter value	toolshed.g2.bx.psu.edu/repos/iuc/compose_text_param/compose_text_param/0.1.1
15	Search in textfiles	toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_grep_tool/9.5+galaxy2
16	Cut	Cut1
17	Generate a word cloud	toolshed.g2.bx.psu.edu/repos/bgruening/wordcloud/wordcloud/1.9.4+galaxy2