Bar Graphs and Pie Charts Are the Easiest to Understand – Technical Writing Tip

Technical Writing is much more difficult than regular writing. Often there are rules and procedures, and specific formats that must be used. More importantly, when dealing with technical information and data, the writer or researcher cannot afford to lose the reader and must fully explain their position and what the information means. And they must realize that if they do not spell it out correctly they will be misinterpreted and that can cause problems.

Some say that if someone is too ignorant to understand what is written then they do not necessarily matter. But as a technical writer it is your job to be understood and to deliver the information in a way that is easily deciphered by a large rather diverse grouping of potential readers. Now some technical writing is designed for a small subset of readers in a certain field, but still, it is very easy to lose people and if you are vague and fail to illustrate your points, you will do just that.

Speaking of Illustrating your points, information, and visualization of your data; you should realize that using charts and graphs will help your reader better comprehend what you are saying, the more visuals you use the better it will be for all concerned. You can alleviate in advance misinterpretations and even conflicts of those who think they disagree with your conclusions or premise.

When choosing visual data graphics for your technical writing, you should know that Bar Graphs and Pie Charts are considered the easiest to comprehend and understand. Psychologists believe this is due to the way that human brains categorize things and commit information to memory. So please consider all this.

Source by Lance Winslow


Getting started with Infogram

Infogram offers its users hundreds of free and premium templates, more than a million images and icons, various maps of countries and cities, charts suitable for every use case, as well as multiple options for data importing.

Watch the tutorial video to get a glimpse of our tool and how to get started with content creation.

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Which is the best chart: Selecting among 14 types of charts Part I

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Which is the best chart for your data – this tutorial will discuss the 14 most popular chart types and we’ll show you when to use each one, and more importantly, when to avoid using them. Learn about the best uses of the bar chart, pie chart, doughnut chart, line chart, area chart, treemap chart, bridge chart, scatterplot, and histogram. This tutorial is organized by chart type and each section explores the different applications of a specific chart. Learn how to visualize your data to convey the most relevant information, and tell a data-driven story.

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Charts Are Like Pasta – Data Visualization Part 1: Crash Course Statistics #5

Today we’re going to start our two-part unit on data visualization. Up to this point we’ve discussed raw data – which are just numbers – but usually it’s much more useful to represent this information with charts and graphs. There are two types of data we encounter, categorical and quantitative data, and they likewise require different types of visualizations. Today we’ll focus on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform.

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How to make a bar chart

This video shows how to make a bar chart using the chart builder wizard in ChartBlocks. Watch the video then start making your own charts – completely free.





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T Series Vs Pewdiepie Power Bi Data Visualization

T Series Vs Pewdiepie Power Bi Data Visualization

Posted by topdatainsights on 2020-08-12 22:56:21

Tagged: , power bi , infographics , data analyst , data pipeline , predictive analytics , data collection , text mining , data warehousing , data warehouse , data integration , visual analytics , research skills , google charts , data studio , google data studio , data mining , data analytics , tableau , technology , data science , data analysis , data scientist , data , statistics , big data , charts , visualization , graphs , data engineer , Topdatainsights , Top , Insights


The Art of Data Visualization | Off Book | PBS Digital Studios

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Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on these basic cognitive skills. In a modern world where we have far more data than we can process, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating data into the media experience. Data has emerged as such a critical part of modern life that it has entered into the realm of art, where data-driven visual experiences challenge viewers to find personal meaning from a sea of information, a task that is increasingly present in every aspect of our information-infused lives.

Edward Tufte, Yale University
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Pick A Date Range

Pick A Date Range

Zapier to zap a new Strava activity into a new row on a Google sheet, which is used as a data source in Data Studio to populate a report. It’s as simple as that.

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Posted by Patrick Strahm on 2020-10-07 19:21:33

Tagged: , screenshot , strava , statistics , charts , google , datastudio , zapier , 07102020


My Riding Hours

My Riding Hours

When do you typically ride? Here are the days and times I ride during the week. Commutes not included. Being an office slave, I’m primarily a weekend warrior. During the week I ride evenings as my work day begins early and lunch is too short. Because I get off work early on Friday it’s the weekday that stands out being the day I ride most often.

Posted by Patrick Strahm on 2020-10-08 21:01:43

Tagged: , screenshot , strava , statistics , charts , google , datastudio , zapier , 07102020