Excel 2016 Charts for Science

Excel 2016 Charts for Science By Martha Nelson Information Specialist Charts communicate information visually William Playfair - 1786 Charts communicate information visually MIT’s Observatory of Economic Complexity for world trade https://atlas.media.mit.edu/en/ Charles Joseph Minard: Napoleon's Retreat From Moscow (The Russian Campaign 1812-1813) Flow Map Florence Nightingale’s Coxcomb chart - 1858 Sunburst Chart made with Excel Dr. John Snow’s Cholera map 1854 Data: CDC and Waffle House Tools: ArcGIS Pro An historic line graph H Ross Perot -1992 Edward Tufte Original chart by Carl Sagan Things I think about before creating a chart 1. Who is your audience? 2. How it will be used Print or online? JSTOR retrieved article Where will you get your data? • Personal data you have collected • From an employer • Government websites • Wikipedia, ESPN, Dow Jones A conductor wore a heart monitor during The Nutcracker. He annotated his Health app report - AeroMaestro Minnesota's Voyageurs Wolf Project data maps Sleep patterns of the first six months of an infant’s life. Tracked using: Baby Connect iPhone app. CAD package Rhinoceros with Grasshopper plugin Adobe Illustrator for colors What software will you use? • R – statistics program • Excel – Microsoft Office spreadsheet • Python – web dev language • Chart generators on the web • Google Sheets & charts Google forms Google Charts (all free!) Many possible ways and processes to create a wonderful chart for science Beyond Excel: • Microsoft Power BI • Tableau • QlikView • Illustrator and other image / photo programs https://public.tableau.com/profile/andy.kriebel#!/vizhome/VisualVocabulary/VisualVocabulary Charts communicate information visually John Peltier PeltierTech.com The Chart Guru – excellent step-by-step directions for complicated charts. Mynda Treacy www.myonlinetraininghub.com Dashboards and Power BI classes. Some webinars are free. Google Trends: Compare two search terms Word Cloud Thank You Want a copy of this presentation? Visit www.skokielibrary.info/handouts where this presentation will be available for four weeks..

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Evolution of the Infographic
EVOLUTION OF THE INFOGRAPHIC: Then, now, and future-now. EVOLUTION People have been using images and data to tell stories for ages—long before the days of the Internet, smartphones, and Excel. In fact, the history of infographics pre-dates the web by more than 30,000 years with the earliest forms of these visuals being cave paintings that helped early humans find food, resources, and shelter. But as technology has advanced, so has our ability to tell meaningful stories. Here’s a look into the evolution of modern infographics—where they’ve been, how they’ve evolved, and where they’re headed. Then: Printed, static infographics The 20th Century introduced the infographic—a staple for how we communicate, visualize, and share information today. Early on, these print graphics married illustration and data to communicate information in a revolutionary way. ADVANTAGE Design elements enable people to quickly absorb information previously confined to long paragraphs of text. LIMITATION Static infographics didn’t allow for deeper dives into the data to explore granularities. Hoping to drill down for more detail or context? Tough luck—what you see is what you get. Source: http://www.wired.co.uk/news/archive/2012-01/16/painting- by-numbers-at-london-transport-museum INFOGRAPHICS THROUGH THE AGES DOMO 03 Now: Web-based, interactive infographics While the first wave of modern infographics made complex data more consumable, web-based, interactive infographics made data more explorable. These are everywhere today. ADVANTAGE Everyone looking to make data an asset, from executives to graphic designers, are now building interactive data stories that deliver additional context and value.
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The Unified Theory of Meaning Emergence Mike Taylor RN, MHA
The Unified Theory of Meaning Emergence Mike Taylor RN, MHA, CDE Author Unaffiliated Nursing Theorist [email protected] Member of the Board – Plexus Institute Specialist in Complexity and Health Lead designer – The Commons Project, a web based climate change intervention My nursing theory book, “Nursing, Complexity and the Science of Compassion”, is currently under consideration by Springer Publishing 1 Introduction Nursing science and theory is unique among the scientific disciplines with its emphasis on the human-environment relationship since the time of Florence Nightingale. An excellent review article in the Jan-Mar 2019 issue of Advances in Nursing Science, explores the range of nursing thought and theory from metaparadigms and grand theories to middle range theories and identifies a common theme. A Unitary Transformative Person-Environment-Health process is both the knowledge and the art of nursing. This type of conceptual framework is both compatible with and informed by complexity science and this theory restates the Human-Environment in a complexity science framework. This theory makes a two-fold contribution to the science of nursing and health, the first is in the consolidation and restatement of already successful applications of complexity theory to demonstrate commonalities in adaptive principles in all systems through a unified definition of process. Having a unified theoretical platform allows the application of the common process to extend current understanding and potentially open whole new areas for exploration and intervention. Secondly, the theory makes a significant contribution in tying together the mathematical and conceptual frameworks of complexity when most of the literature on complexity in health separate them (Krakauer, J., 2017).
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A Light in the Darkness: Florence Nightingale's Legacy
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Minard's Chart of Napolean's Campaign
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Time and Animation
TIME AND ANIMATION Petra Isenberg (&Pierre Dragicevic) TIME VISUALIZATION ANIMATION 2 TIME VISUALIZATION ANIMATION Time 3 VISUALIZATION OF TIME 4 TIME Is just another data dimension Why bother? 5 TIME Is just another data dimension Why bother? What data type is it? • Nominal? • Ordinal? • Quantitative? 6 TIME Ordinal Quantitative • Discrete • Continuous Aigner et al, 2011 7 TIME Joe Parry, 2007. Adapted from Mackinlay, 1986 8 TIME Periodicity • Natural: days, seasons • Social: working hours, holidays • Biological: circadian, etc. Has many subdivisions (units) • Years, months, days, weeks, H, M, S Has a specific meaning • Not captured by data type • Associations, conventions • Pervasive in the real-world • Time visualizations often considered as a separate type 9 TIME Shneiderman: • 1-dimensional data • 2-dimensional data • 3-dimensional data • temporal data • multi-dimensional data • tree data • network data 10 VISUALIZING TIME as a time point 11 VISUALIZING TIME as a time period 12 VISUALIZING TIME as a duration 13 VISUALIZING TIME PLUS DATA 14 MAPPING TIME TO SPACE 15 MAPPING TIME TO AN AXIS Time Data 16 TIME-SERIES DATA From a Statistics Book: • A set of observations xt, each one being recorded at a specific time t From Wikipedia: • A sequence of data points, measured typically at successive time instants spaced at uniform time intervals 17 LINE CHARTS Aigner et al, 2011 18 LINE CHARTS Marey’s Physiological Recordings Plethysmograph Étienne-Jules Marey, 1876 (image source) Pneumogram Étienne-Jules Marey, 1876 (image source) 19 LINE CHARTS Pendulum Seismometer (image source) Andrea Bina, 1751 Possibly also 17th century (source) 20 LINE CHARTS Inclinations of planetary orbits Macrobius, 10th or 11th century cited in Kendall, 1990 21 Marey’s Train Schedule LINE CHARTS 6 PARIS LYON 7 22 Étienne-Jules Marey, 1885, cited in Tufte, 1983 OTHER CHARTS Line Plots Point Plots Silhouette Graphs Bar Charts Aigner et al, 2011 23 OTHER CHARTS Combination - New York Times Weather Chart New York Times, 1980.
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An African 'Florence Nightingale' a Biography
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Defining Visual Rhetorics §
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Capítulo 1 Análise De Sentimentos Utilizando Técnicas De Classificação Multiclasse
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The Forgotten Discovery of Gravity Models and the Inefficiency of Early
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Elizabeth F. Lewis Phd Thesis
PETER GUTHRIE TAIT NEW INSIGHTS INTO ASPECTS OF HIS LIFE AND WORK; AND ASSOCIATED TOPICS IN THE HISTORY OF MATHEMATICS Elizabeth Faith Lewis A Thesis Submitted for the Degree of PhD at the University of St Andrews 2015 Full metadata for this item is available in St Andrews Research Repository at: http://research-repository.st-andrews.ac.uk/ Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/6330 This item is protected by original copyright PETER GUTHRIE TAIT NEW INSIGHTS INTO ASPECTS OF HIS LIFE AND WORK; AND ASSOCIATED TOPICS IN THE HISTORY OF MATHEMATICS ELIZABETH FAITH LEWIS This thesis is submitted in partial fulﬁlment for the degree of Ph.D. at the University of St Andrews. 2014 1. Candidate's declarations: I, Elizabeth Faith Lewis, hereby certify that this thesis, which is approximately 59,000 words in length, has been written by me, and that it is the record of work carried out by me, or principally by myself in collaboration with others as acknowledged, and that it has not been submitted in any previous application for a higher degree. I was admitted as a research student in September 2010 and as a candidate for the degree of Ph.D. in September 2010; the higher study for which this is a record was carried out in the University of St Andrews between 2010 and 2014. Signature of candidate ...................................... Date .................... 2. Supervisor's declaration: I hereby certify that the candidate has fulﬁlled the conditions of the Resolution and Regulations appropriate for the degree of Ph.D.
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Visions and Re-Visions of Charles Joseph Minard
Visions and Re-Visions of Charles Joseph Minard Michael Friendly Psychology Department and Statistical Consulting Service York University 4700 Keele Street, Toronto, ON, Canada M3J 1P3 in: Journal of Educational and Behavioral Statistics. See also BIBTEX entry below. BIBTEX: @Article{ Friendly:02:Minard, author = {Michael Friendly}, title = {Visions and {Re-Visions} of {Charles Joseph Minard}}, year = {2002}, journal = {Journal of Educational and Behavioral Statistics}, volume = {27}, number = {1}, pages = {31--51}, } © copyright by the author(s) document created on: February 19, 2007 created from ﬁle: jebs.tex cover page automatically created with CoverPage.sty (available at your favourite CTAN mirror) JEBS, 2002, 27(1), 31–51 Visions and Re-Visions of Charles Joseph Minard∗ Michael Friendly York University Abstract Charles Joseph Minard is most widely known for a single work, his poignant ﬂow-map depiction of the fate of Napoleon’s Grand Army in the disasterous 1812 Russian campaign. In fact, Minard was a true pioneer in thematic cartography and in statistical graphics; he developed many novel graphics forms to depict data, always with the goal to let the data “speak to the eyes.” This paper reviews Minard’s contributions to statistical graphics, the time course of his work, and some background behind the famous March on Moscow graphic. We also look at some modern re-visions of this graph from an information visualization perspecitive, and examine some lessons this graphic provides as a test case for the power and expressiveness of computer systems or languages for graphic information display and visual- ization. Key words: Statistical graphics; Data visualization, history; Napoleonic wars; Thematic car- tography; Dynamic graphics; Mathematica 1 Introduction RE-VISION n.
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Facts About Florence Nightingale
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