About this dashboard

This dashboard is designed to provide you with a user-friendly interface for exploring text data from the 2023 equity action plans. Here are a few things you should know to get the most out of this tool:

  • Keyword Matches: Our browser tool displays keyword matches in the context of the paragraph in which they appear. This allows you to understand the context of each keyword match, providing a more comprehensive view of the results.

  • Refining Your Search: You can refine your search by clicking on the check boxes next to each keyword. This allows you to hone in on specific terms and see only the data that is most relevant to your search.

  • Dictionary Page: For a full list of search terms used, please refer to the Dictionary page. This page contains a comprehensive list of all the keywords used in our search tool, providing a reference for understanding the scope of our data.

We hope you find this dashboard useful and intuitive. Happy exploring!

Called from: create_tabset(dict_equity_types, "Equity Types", "test-topic-browser-equity-types.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_metrics, "Metrics", "topic-browser-metrics.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_legislation, "Legislation", "topic-browser-legislation.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_underserved_communities, "Underserved Communities", 
    "topic-browser-underserved-communities.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_data, "Data", "topic-browser-data.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_procurement, "Procurement", "topic-browser-procurement.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
Called from: create_tabset(dict_misc, "Miscellaneous", "topic-browser-other.html")
debug at <text>#4: tc <- create_tcorpus(corpus_collapsed_detailed, split_sentences = TRUE, 
    max_sentences = Inf, meta = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), )
debug at <text>#9: hits <- search_dictionary(tc, dict, ascii = TRUE, mode = "unique_hits")
debug at <text>#12: browse_hits(tc, hits, filename = filename, view = FALSE, header = title, 
    n = Inf, meta_cols = c("Agency", "Year", "Layout Type And Number", 
        "Page Number"), seed = 999)
All Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Equity Types Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Metrics Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Legislation Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Underserved Communities Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Data Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Procurement Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.
Other Keywords
Note: Search terms are not case-sensitive and those ending with an “*” match words that start with the same characters. For instance, “Hispanic*” matches with “Hispanics”, “Hispanic-serving”, and “Hispanic-owned”.