Spring is reporting\u00a0season, and\u00a0NNLM RMLs, Offices, and Centers\u00a0across the country are thinking about their accomplishments over the past year and how best to reflect them.\u00a0We can make use of existing stores of data to add context and communicate impact beyond typical reporting workflows, such as the RPPR, by employing visualization into our dissemination strategy.<\/p>\n
Quantitative data lends itself nicely to visualization, but qualitative data can too, if approached from the right perspective. Coding open-ended responses to things like training surveys enables visualizations of all types, from bar charts to heat maps. It also allows for network analysis and graphing, illustrating visually the different types of relationships possible between your coded qualitative data points. [1]<\/p>\n
Stephanie Evergreen\u2019s\u00a0Qualitative Chart Chooser<\/a>\u00a0tool is one place to start when considering which visualization style will best represent your data. Another nice\u00a0blog<\/a>\u00a0comes from Alana Pirrone. From a government perspective, take a look at this \u201cData Visualization Standards<\/a>\u201d. Finally, a great resource (and especially visually entertaining!) is this project mapping of\u00a0\u201cData Viz books<\/a>\u201d<\/p>\n Keep an eye out for news from the NEC on visualization trainings later this year.<\/p>\n Spring is reporting\u00a0season, and\u00a0NNLM RMLs, Offices, and Centers\u00a0across the country are thinking about their accomplishments over the past year and how best to reflect them.\u00a0We can make use of existing stores of data to add context and communicate impact beyond typical reporting workflows, such as the RPPR, by employing visualization into our dissemination strategy. Quantitative… Read More »<\/a><\/p>\n","protected":false},"author":2981,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[6],"tags":[],"class_list":["post-6723","post","type-post","status-publish","format-standard","hentry","category-data-visualization"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p8ICUo-1Kr","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/posts\/6723","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/users\/2981"}],"replies":[{"embeddable":true,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/comments?post=6723"}],"version-history":[{"count":2,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/posts\/6723\/revisions"}],"predecessor-version":[{"id":6725,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/posts\/6723\/revisions\/6725"}],"wp:attachment":[{"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/media?parent=6723"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/categories?post=6723"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.nnlm.gov\/nec\/wp-json\/wp\/v2\/tags?post=6723"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n