what would be the best way to help the reader interpret the information in the graphic organizer?

What you lot'll acquire to do: Talk over how to almost effectively use charts, diagrams, and other graphics in business organization letters and identify potential sources for these visual aids

When you communicate data, you can't just throw a whole agglomeration of numbers on a page and wait that readers will understand what you want to say. Charts, tables, and graphs help communicators organize that information in a manner that helps their audiences sympathise the story the data tells and, hopefully, translate it correctly.

In this section, we'll discuss the types of charts, graphs, and diagrams available to help you testify off your data in ways that brand it attainable to your audition. We'll await at specific communication challenges and decide which kind of nautical chart or graph all-time illustrates your message, and finally, we'll talk over how to format your chart so that your story is hands and quickly understood.

Learning Issue

  • Hash out the appropriate use of common tables, charts, and infographics
  • Describe factors in deciding which blazon of visual aid and graphic will best report your information
  • Describe the impact of placement, style, and coloring when incorporating graphics into a message
  • Depict the impact of descriptive captions and titles when incorporating graphics into a message

Tables, Charts, and Infographics

In this age of information, there are huge amounts of data to process and an every bit impressive number of graphs and charts you can use to tell the data's story. Here are some of the more commonly used graphs and the kinds of stories they can assistance you tell.

Do Question

Numerical Data Charts

Let'southward talk nearly a few of the most common types of numerical charts:

  • Bar graphs
  • Line graphs
  • Pie charts
  • Stacked comparison charts

Bar Graphs

Bar graphs are used to compare categories. The x-axis (the horizontal line at the lesser of a graph) is usually used to show the categories: in this case, countries with universal healthcare expenses for 2015. The y-axis (the vertical line) isn't marked here, but it's clearly showing dollars spent in millions. The taller the bar, the more than dollars were spent. This chart clearly shows that the United States spends more than on health care per citizen than other countries. This is clearly identified on this nautical chart with confined in contrasting colors. You tin't help but detect it—information technology breaks pattern and it's a bold color that draws the centre.

An bar graph showing 2015 Healthcare Expenses (%GDP). Text on the right says "U.S. spends about 5% GDP more than the next most expensive country. Gap is $1 trillion per year or $3,000/person."

Figure 1. An instance of a bar graph

Line Graphs

Similar bar graphs, line graphs compare categories, but they're near often used to show trends. With thex-axis ofttimes showing the passage of time, the graphed data points will bear witness an upward or down trend of the categories in question.

A line graph showing Social Media Traffic Trends. Facebook (blue line), Pinterest (red line), Twitter (green line), and YouTube (orange line) are all displayed.

Figure two. An example of a line graph

The line graph in a higher place illustrates social media traffic trends. Each social media system is represented by a dissimilar colored line. The10-axis shows the passage of time, and they-axis shows the percentage of media traffic each organization is capturing. The graph shows that Facebook traffic is trending up, while Pinterest has experienced some ups and downs. Third-place Twitter traffic is relatively apartment.

Pie Charts

A pie chart displaying Q3 sales. Sections of the chart include clothing (orange), novelty items (green), fragrances (purple), accessories (blue), and footwear (yellow).

Figure 3. An example of a pie chart

Pie charts prove the composition of data, or the pieces of a whole. Information technology tin be as uncomplicated as "the team here is composed of fifty percent men and 50 percent women" or "Our sales are made up of 30 pct fiction books and 70 percent non-fiction."

In Effigy 3, the whole pie (the whole circle) represents the total products sold at a store; the pieces of that pie show you the percentage of sales each department fabricated. A nautical chart like this makes it very easy to see that the clothing and accessory departments make up the largest section of sales, and fragrances the smallest.

Some comparison charts aren't shaped similar a circumvolve. Sometimes they're donuts, and other times they're shown in bars, as nosotros'll see adjacent.

Stacked Comparison Charts

You can compare categories with a "pie chart" approach, incorporating the composition gene in a variety of means. The categories in this nautical chart are represented by confined, but the bars themselves are limerick charts. Each bar is valued at 100%, and the colored blocks represent unlike levels of pet ownership within the population.

A stacked bar graph with sections consisting of dog owner (blue), cat owner (green), and no pets (purple).

Figure 4. An case of a stacked bar graph

Similarly, the line graph below is "stacked" to bear witness the level of sales based on product type. You lot're seeing a trend also as a portion of a whole – comparing and viewing limerick.

A stacked line graph depicting 2018 sales to date. Lines include clothes (orange), decor (blue), accessories (yellow), and books (gray).

Figure 5. An example of a stacked line graph

Non-Numerical Data Charts

The charts higher up are very handy when your data is numeric. Only in that location are charts for other types of data. Let's talk about a few of the most common types of non-numerical charts.

  • Venn diagrams
  • Flow charts
  • Gantt charts
  • Organizational charts
  • Pictographs
  • Infographics

Venn Diagrams

A Venn diagram shows a comparison of two unlike categories and the items they have in common. The diagram in Figure 6 shows u.s.a. the dissimilar types of prototype  types that can exist safely shared on the Internet.

A venn diagram. In the diagram in the GIF section limited color palette/smaller file size/web safe/ lossless transparency overlap. In the JPEG section smaller file size/web safe/lossy, no transparency/large color palette over lap. In the PNG section lossless transparency/web safe/large color palette/larger file size overlap.

Figure 6. An case of a Venn diagram

Wherever the circles overlap represents a shared characteristic. For example, JPG and PNG files both take a large color palette, so they overlap in that area. "Web safe" is a characteristic shared by all three, so it'south in the middle where all the circles overlap. Areas of each circle that do not overlap represent characteristics unique to each file blazon—something they don't share with any other file type represented.

Flow Charts

Flow charts prove a procedure. Flow charts certificate a sequence of events from start to finish so that the process can be documented, followed, and managed.

The flow chart in Effigy 7 shows the process of how theories are created, spread, and accepted.

A flowchart showing how theories are created, spread, and accepted. "Start" flows to "get and idea" which flows to "perform experiment" which flows to "does the evidence support the idea?" which depending on the answer ("no" flows to "bad idea" and back to "get an idea") leads to different places. "Yes flows to "theory created" then to "use theory to better understand the universe" to "discover new evidence" to "can the theory be modified to explain the new evidence". The flow changes depending on the answer to this question. No flows to "revolution" and yes flows to "improve theory" and back to "use theory to better understand the universe."

Effigy 7. An instance of a flow chart

You tin see at the elevation at that place is an thought that leads to an experiment, and so the results determine which path is taken. If the experiment is successful or unsuccessful, different paths will exist chosen. Along the path of the flow chart, all alternatives are presented and choices are made betwixt them. Your eye follows the path from kickoff to finish for every function of the scenario.

Gantt Chart

A Gantt chart is a timeline. Multiple projects tin can be added to the timeline with showtime and finish dates, and milestones and deadlines are also reflected. This chart is used to determine how long a projection volition have, the resources needed, and the order in which tasks need to be completed.

An example of a Gantt chart over the course of July and August.

Effigy 8. An example of a Gantt chart

In Effigy 8, you have two dissimilar teams running one project. The Market Squad (red) completes the market enquiry and defines specifications past the week of July 23rd (the date of the first milestone). Then, the Planning Team (blue) takes over with the overall architecture and project planning and is responsible for hitting that second milestone on Baronial 6th. As you can meet, the Market place and Planning Teams take additional work to contribute even after their milestones are hit, and the project is not complete until the stop of November.

Organizational Charts

Organizational charts (sometimes phone call hierarchy charts) bear witness the people in an organization and their reporting relationships. Usually, the organizational chart will have a chairman or CEO at the acme, followed by a team of presidents and vice presidents, and and so their direct reports, and and so on. An organizational nautical chart is unremarkably created and maintained by human resource professionals who wants a visual view of their organization's structure and reporting relationships so they tin make improve decisions about leveraging the company's talent.

The organizational chart in Effigy 8 shows a chairman at the summit of the hierarchy and a managing manager, quality assurance leader and a secretary reporting directly to the chairman. Each of those direct reports has direct reports of his or her own, so on.

An organizational chart. "Chairman" is at the top. The left column consists of "managing director, marketing, administration, IT, finance, and human resources". The middle column consists of "secretary, reception, and office manager". The right column consists of "quality assurance, auditing, monitoring, and quality".

Figure nine. An example of an organizational chart

Pictographs

Pictographs use symbols and images to convey information, information, or ideas. The pictographs in Effigy 9 are actually function of a resume and signal what kind of information can be found next to each pictograph (phone number, address, Twitter handle, and email respectively).

A pictograph conveying a phone number, email address, twitter handle, and street address.

Figure nine. Four examples of pictographs

This makes it easier for a recruiter to view and pick out the necessary contact information. Other pictograms tin convey processes (like the instructions to build IKEA furniture) or data (like when the weather app on your phone tells yous it's going to rain today by posting a picture of a pelting deject).

Infographics

Similarly, infographics use pictures, only they also comprise data and words, all to explain a single point. Infographics tin be used to make a complex subject a little simpler to empathize, specially when at that place are more than than ii or 3 factors to consider. They can also be used to compare 2 or more categories and brand your data more interesting and middle communicable.

An infographic about the Superbowl and chicken.

This infographic shows how craven consumption relates to the Superbowl. Yous tin can meet how consumption and the price per pound of chicken has increased over time. It besides describes how chicken wings in particular have become more than pop over time, all with a an eye-communicable and entertaining quality that'southward engaging and interesting to the audition.

Fifty-fifty More than Charts and Graphs

This is not an all-inclusive list of the kinds of charts and graphs available. If you work in the scientific discipline loonshit, you may observe yourself using scatter charts or heat maps. Statisticians might be reaching for a trellis chart or even a office graph. Learn what graphs your industry relies on most and take the time to familiarize yourself with them and so you tin can use these important visual advice tools to your reward.

Making Charts and Graphs

As nosotros mentioned earlier in this module, all graphs and charts that you lot see on the cyberspace are someone else'south property, and using them in your work is stealing. But at that place'south little reason to use someone else's nautical chart—yous're creating your own chart to communicate your own data! Here are a few tools that can help y'all create something bang-up:

  • MS Excel. Yous've probably stumbled upon the charts and graph tools in your Microsoft programme long ago, and if it'due south uncomplicated graphs yous want, that's an easy tool to utilise to create them. Google Sheets and Apple's Pages offering similar options. Encounter Module 4: Research for more on making charts and graphs in Excel.
  • Lucidchart. If it'south flowcharts you're looking for, Lucidchart is the right place to start. This gratis, easy-to-use resources allows you to create flowcharts, organizational charts and diagrams that look smart.
  • OnlineChartTool. If you're looking for something different in terms of bar charts and graphs, and you're tired of the graphics Microsoft Excel provides, have a wait at OnlineChartTool. It might accept what y'all're looking for.
  • Beam. This tool allows you to make engaging graphs and charts, even on your mobile phone.
  • BeFunky, Visme, and  Canva. Don't let infographics intimidate you! Infographics are easily created with the BeFunky, Visme and Canva tools. These tools have complimentary versions and include hundreds of images and templates to help you make a stunning visual.

Tables

A communicator tin can as well utilise tables to display data. Tables tin be formatted for words or for numerical data. They tin can be used for comparing information, or when i item has several information points associated with information technology.

Tabular array 1 is a simple table of 3 people who are running races. George, Alana, and Sebastián each accept four data points associated with them. By using a uncomplicated tabular array, you can put all of this information in forepart of your audience. They tin compare best times and review rankings of each runner.

Table 1. Running a Race
Participants Races Run Best Fourth dimension Boilerplate Time Ranking
George 2 iii:23 three:47 3
Alana 3 2:56 3:12 1
Sebastián 2 two:54 3:36 2

Table 2 is a bit more than complex, and because of that, the data is not quite as attainable to the reader. Just the data is complex likewise, and if it's going to be displayed for ease of review, this seems like a decent option. Table 2 shows the results of a survey where participants were asked to rank viii speakers (a male and a female of different English language dialects) according to their professionalism, intelligence, pedagogy, friendliness, and sociability. The response rates are shown for male and female speakers, and then an average is calculated for each dialect.

Table 2. Boilerplate Perceptions of English Speakers*
Standard American English
Gender Professional Intelligent Educated Friendly Extroverted
Female Speaker v.83 v.83 5.75 five.42 4.92
Male Speaker half-dozen.92 6.67 half dozen.75 6.42 6.33
Southern American English language
Gender Professional person Intelligent Educated Friendly Extroverted
Female Speaker five.75 5.17 5.00 7.25 vii.00
Male person Speaker iv.33 4.17 iii.75 5.92 vi.42
British English
Gender Professional person Intelligent Educated Friendly Extroverted
Female Speaker seven.l 7.33 7.33 5.50 5.25
Male person Speaker 6.fifty 6.25 6.17 5.17 4.92
Australian English language
Gender Professional Intelligent Educated Friendly Extroverted
Female Speaker vii.00 six.92 7.08 6.25 six.42
Male Speaker 6.92 vi.92 half-dozen.75 6.17 6.00
*Participants in this survey were asked to rate speakers on a calibration of 1–10.

Tables help you manage more complex sets of data. A tabular array can exist used if you lot're looking to brandish private values, if values are beingness compared, or if data is going to exist shown and and then summarized. They won't convey your story to the reader as quickly as a graph might, but you will yet be conveying a large amount of information in an piece of cake-to-understand way.

Matching Graphics and Objectives

It tin can exist difficult to decide what graph or chart to use when. Some are for numbers, some are for words… So many charts, so piffling time!

The catamenia chart in Figure i can aid yous in choosing the correct kind of nautical chart or graph to support your message.

Click on the image for a text-only version of this chart.

Figure 1. What type of visual help should I use? Click on the image for a text-but version of this chart.

Now, was that easier than writing  it all out?

Exercise Question

Placement, Way, and Coloring

Once yous've decided what graph or chart to use, we need to make sure it fits with our visual media usage standards.  Information technology needs to make your message more accessible by being:

  • Clean and simple
  • Compatible
  • Persuasive
  • On make

Let's build a pie chart and apply each of these standards to it equally we go forth.

Say yous want to give a quarter bonus to the best member of each section, and you take settled on giving a $l gift card for a movie theater. You have surveyed the company to make up one's mind which local cinemas are used by your employees to see movies. You have decided to brand a pie chart from the results, considering you're looking to show the limerick of your employees and their film-going preferences.

At the moment, your pie chart looks like this:

A pie chart showing which employees attend which theaters. There are 26 different theaters, and each is individually labelled. The chart is very busy and difficult to interpret.

Figure 1. Which employees attend which theaters?

Figure 1 is definitely not clean and uncomplicated. In that location is so much to look at here that it'southward hard to see anything. No i volition find this useful. In fact, a rule of thumb for pie charts is that if you have more than ten categories, you should present the data differently. (There's something called an exploding pie nautical chart if you want to check that out.)

So how do we simplify the information? To begin with, nosotros need to narrow down the categories. In this case, you could display theaters by visitor, rather than location, since all theaters of the same visitor volition take the aforementioned gift card. Let's have a look at how the revised chart would await in Figure 2:

A simplified version of the pie chart showing which employees attend which theaters. 47.1% attend AAA Complexes, 22.9% attend BBB Complexes, 9.1% attend CCC Complexes, and 20.8% attend Other.

Effigy 2. Which employees nourish which theaters (by company)?

At present we're getting somewhere! This is a much easier chart to read. Nosotros can see at a glance that about one-half of our employees go to a movie theater owned by AAA, and smaller portions run into films at the BBB and CCC theaters. This data has become style more accessible for the reader.

We've besides called some bold, pleasing colors here. We tin can clearly tell what function of the pie belongs to BBB and what function belongs to the others. This is clean and elementary!

Once we've achieved that, we must make it compatible. Do the rest of your charts, tables and graphs employ the same bold, pleasing colors we use here? Accept we chosen the same font size for our chart key? If the answer is yes, nosotros can move on. Nosotros know that we are sharing information without distracting the reader.

At present we ask ourselves, is this data persuasive? Well, that depends on the story you lot're looking to tell. In this example, your best option is to purchase gift cards for AAA theaters because that is what your data is telling, since nearly of your employees enjoy seeing movies there. So let'southward requite this a title:

The simplified version of the pie chart with a title that reads "Employee's Favorite Movie Theaters". 47.1% attend AAA Complexes, 22.9% attend BBB Complexes, 9.1% attend CCC Complexes, and 20.8% attend Other.

Figure 3: Your completed pie chart

Effigy 3 a flake more persuasive. This immediately tells the reader "AAA Complexes are our employees' favorite movie house."

At present, is your nautical chart on brand? If your visitor's palette of colors includes bluish, red, yellow and dark-green, then yep! We are on brand. If your company uses unlike colors, go alee and change them. A lot of companies have very specific color requirements, even for internal projects, then be sure to look out for your company's fashion requirements! For this project, it's as easy as that.

You've made the point of this advice very easy and accessible by making these changes and post-obit our standards of visual media communication!

Practice Question

Captions and Titles

Nigh of the fourth dimension, putting the data into graph form isn't quite enough. In fact, it's but the first. You created this graph to aid you lot tell the story of your information, and to ensure your message gets beyond, you need to exist clever nearly the captions and titles you include.

You lot'll find virtually communicators title their graphs co-ordinate to the content they display. It might say "Year-over-twelvemonth performance" or "Weekly Average Ticket Sales." Merely if your bulletin is virtually how weekly average ticket sales are downwardly x percent compared to final year, yous might consider calling your graph "Boilerplate Ticket Sales are Decreasing."

picket it

The video below is a sit-in virtually how to make a graph tell your story by making it easier to read and making the championship active:

Captions unremarkably betoken the source of information. If your sources and communications are non produced by people inside your company, then this is an important footstep. Captioning the source gives your data credibility and strengthens your story.

Practice Question

Y'all can also use captions to convey other pertinent information. You may desire to include the sample size of a survey the graph is illustrating or boosted groundwork data about the data (every bit shown in Figure 1). Using captions in this fashion helps the reader draw the right decision.

Graph a shows the trends in unemployment rates by gender for the year 1972 to 2014. In 1972 the graph starts out at 6.6% for females. It jumps to 9.3% in 1975 for females, gradually goes back down until 2009, when it rises to 8.1%. It gradually lowers to 6.1% in 2014 for females. For males, it starts out at around 5% in 1972, goes up and down periodically, and ends at 6.3% in 2014. Graph b shows the trends in unemployment rates by race and ethnicity for the year 1972 to 2014. In 1972, the graph starts out at 10.4% for blacks, rises to nearly 15% in 1975, rises even more in 1983 to 19.5%, and ends up around 11% in 2014. In 1972, the graph starts out around 7% for Hispanics, rises to around 12% in 1975, and ends at 7.4% in 2014. In 1972, the graph starts out around 5% for whites, jumps to nearly 8% in 1975, jumps again to nearly 8.5% in 1982, and ends up at around 5% in 2014.

Figure 1. Unemployment Rate by Demographic Group. (a) By gender, 1972–2016. Unemployment rates for men used to be lower than unemployment rates for women, just in recent decades, the 2 rates take been very close, oftentimes—and specially during and shortly afterward the Bang-up Recession—with the unemployment rate for men somewhat higher. (b) Past race and ethnicity, 1972–2016. Although unemployment rates for all groups tend to rise and autumn together, the unemployment rate for blacks is typically about twice as high equally that for whites, while the unemployment rate for Hispanics is in between. (Source: www.bls.gov)

A caption on a graph tin become desperately when there is more data captioned than is of interest to your audience, or if information included in the caption would be better displayed elsewhere.

Allow's take a look at this line graph displaying the percent of world GDP (Figure 2):

A line graph showing the Percentage of World GDP from 1700-2008. China started at 40% in 1700's steadily increased to approximately 55% in 1825 where it sharply dropped to 10% in 1975 before it began its ascent to approximately 35% in 2000. The United States started at 0% in the 1700's, slowly increased to approximately 5% in 1825 where it then dramatically increased to 60% in 1950, and then dropped to 35% by 2000. India's percentage started at approximately 45% in 1700 and has steadily decreased to approximately 10% in 1975 where it then increased to approximately 15% in 2000. Japan was at a little less than 9% in 1700 and remained at that level until 1950 where it increased to 20% by 1975 before dropping back down to 10% in 2000. The United Kingdom started around 5% in 1700 before steadily increasing to 10% in 1625 where it then increased to 20% by 1875 and then slowly decreased to less than 5% by the year 2000.

Figure 2. Percent of Earth GPD from 1700–2008

Imagine if the graph above, which shows the per centum of the world's gross domestic product from 1700–2000, looked more like Figure 3:

A line graph showing the percentage of the World Gross Domestic Product by Country (the same graph as the one shown previously).

Figure 3. Percentage of World Gross Domestic Production by Land. Yous will note that (i) India was officially under British rule starting in 1858, when their unabridged Gdp was transferred to the UK. India gained its Independence in 1947 after WWII. (2) The US was colonized by the British and was not its own country until 1776.

Now the title is included in the caption, equally well equally some information virtually British colonization. How could we make it a little easier for the audition to absorb that information?

A line graph showing Percentage of the World GDP from 1700-2008 with informational labels. At 1775 the label reads "USA gains independence from the UK". Shortly ate 1850 the label reads "The UK colonizes India". Shortly before 1950 the label reads "India gains independence from the UK."

Effigy 4. Information technology should be noted that India'southward Gdp was really considered in the U.k.'s totals from 1858 to 1947.

Figure four is even better. Now the graph is titled, and those instances of colonization are marked on the timeline. However, permit's imagine the author is focusing on India in their report or presentation. In that example, the note about the colonization of the Us isn't quite relevant and should exist trimmed out (Figure 5).

An exact copy of the previous line graph. The only difference is the first commentary was removed from the graph.

Figure five. It should be noted that Republic of india'due south Gross domestic product was really considered in the UK's totals from 1858 to 1947.

Much better! At present the graph shows only the data relevant to the point the creator is trying to brand.

Visual media should always make a signal clearer, then make sure your graph'south format, titles and captions are working for you rather than confronting you.

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Source: https://courses.lumenlearning.com/wmopen-businesscommunicationmgrs/chapter/charts-diagrams-and-graphic-organizers/

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