Tables is a structure for organizing and displaying information. Data are arranged in columns and rows, data are encoded as text (words, numbers).

As presentation professionals, we know that there is no single formula for communicating numbers and meanings. But how do we establish a dialogue with clients who are only now beginning to appreciate data visualization techniques as an effective tool to communicate? Lines that are used to encode values in graphs fall into four categories: standard line, high-low line, trend line and reference line. Standard are particularly good at displaying values that change through time as well as the overall of that change. High-low connect the maximum and minimum quantitative values across multiple data sets at each location along a categorical scale. Trend lines display the overall course of quantitative values that are spread across a series of categorical subdivisions. Reference lines are used to display a set of values against which other can be compared or to mark a point of interest along a categorical scale. A bar consists of two ends: the one that marks the value, called the endpoint and the one that forms the beginning, called the base. Bars should begin at zero.

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The primary objective of visual design is to present content to your readers in a manner that high-lights what’s important. The most common attribute used to identify categorical subdivisions is position. Second is color. Fill pattern are only used when bars are used. Investing the time to create a really effective chart—especially if your company never had one before—can help stakeholders realize the value of good data design. As Amy noted, “You can’t expect people without much experience with data visualization to be able to imagine the value of data that hasn’t been viz-ed yet!” Some information is so important that you should say it more than once and in more than one way. Recommendations for action are the best communicated in words.

Scale lines and aces are intimately related. They divide axes into increments of equal lengths. Quantitative scales are common and logarithmic. The same distance anywhere along a logarithmic scale equals the same percentage. Data, in and of itself, isn't valuable. It only becomes valuable when we make sense of it. Weaving data into understanding involves several distinct but complementary thinking skills. Foremost among them are critical thinking and scientific thinking. Until information professionals develop these capabilities, we will remain in the dark ages of data. If you're an information professional and have never been trained to think critically and scientifically with data, this book will set your feet on the path that will lead to an Information Age worthy of the name. Making data simple is not so simple. Making data visually appealing can lead to misunderstandings. Data is not only about numbers but the meaning behind those numbers—their story. The solution, then, is to tell the right story about the data and guide the audience’s understanding of it. This leads to a shared interpretation.Fraenk Erfahrungen: Bis zu 55 GB mit App-basiertem Tarif der Telekom revolutioniert die Smartphone-Nutzung Access to data is vast. The bigger data gets, the more complicated forms of interactive visualizations are at our disposal. When it comes to communicating data, you want to choose the charts that make the insights from the data the clearest, not the coolest. After you plot the chart, highlight what’s important and overlay annotations to show what your conclusions are from the data.” However, there are a lot of benefits to less traditional, more creative methods of visualization. I experimented with visualizing information with Play-Doh, and the project really resonated with people. A unique design has the ability to grab people’s attention the way a simple bar chart might not.” In September, Nancy Duarte—CEO of Duarte, Inc. and Guild Advisor—will publish her next book DataStory: Explain Data and Inspire Action Through Story. The Presentation Guild interviewed her about how to be accurate in the creative process of data storytelling: Apple Keynote 2023: iPhone 15 Pro, Apple Watch Ultra 2 und Spatial Video – Neue Folge von “Die Digitalisierung und Wir”