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Human population growth and the demographic transition Copyright © 2009 The Royal Society This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This article has been cited by other articles in PMC.
Abstract The world and most regions and countries are experiencing unprecedentedly rapid demographic change production of the Survey Skills Development Manual for the National Bureau of Statistics of how to estimate characteristics of the population (Chapter 7);..Abstract The world and most regions and countries are experiencing unprecedentedly rapid demographic change.
The most obvious example of this change is the huge expansion of human numbers: four billion have been added since 1950.Projections for the next half century expect a highly divergent world, with stagnation or potential decline in parts of the developed world and continued rapid growth in the least developed regions.Other demographic processes are also undergoing extraordinary change: women's fertility has dropped rapidly and life expectancy has risen to new highs.Past trends in fertility and mortality have led to very young populations in high fertility countries in the developing world and to increasingly older populations in the developed world.
Contemporary societies are now at very different stages of their demographic transitions.This paper summarizes key trends in population size, fertility and mortality, and age structures during these transitions.The focus is on the century from 1950 to 2050, which covers the period of most rapid global demographic transformation.Keywords: population growth, demographic transition, fertility, mortality, age structure 1.
Introduction After centuries of very slow and uneven growth, the world population reached one billion in 1800.
The modern expansion of human numbers started then, rising at a slow but more steady pace over the next 150 years to 2.During the second half of the twentieth century, however, growth rates accelerated to historically unprecedented levels.As a result, world population more than doubled to 6.5 billion in 2005 (United Nations 1962, 1973, 2007).
This population expansion is expected to continue for several more decades before peaking near 10 billion later in the twenty-first century.Around 2070, the world's population will be 10 times larger than in 1800.The recent period of very rapid demographic change in most countries around the world is characteristic of the central phases of a secular process called the demographic transition.Over the course of this transition, declines in birth rates followed by declines in death rates bring about an era of rapid population growth.This transition usually accompanies the development process that transforms an agricultural society into an industrial one.
Before the transition's onset, population growth (which equals the difference between the birth and death rate in the absence of migration) is near zero as high death rates more or less offset the high birth rates typical of agrarian societies before the industrial revolution.Population growth is again near zero after the completion of the transition as birth and death rates both reach low levels in the most developed societies.During the intervening transition period, rapid demographic change occurs, characterized by two distinct phases.During the first phase, the population growth rate rises as the death rate declines while the birth rate remains high.In the second phase, the growth rate declines (but remains positive) due to a decline in the birth rate.
The entire transition typically takes more than a century to complete and ends with a much larger population size.The plot of world population size over time in figure 1 (top solid line) shows the typical S-shaped pattern of estimated and projected population size over the course of the transition.Population growth accelerated for most of the twentieth century reaching the transition's midpoint in the 1980s and has recently begun to decelerate slightly.Today, we are still on the steepest part of this growth curve with additions to world population exceeding 75 million per year between 1971 and 2016.Population size estimates, 1900–2005 and projections 2005–2050.
Contemporary societies are at very different stages of their demographic transitions.Key trends in population size, fertility and mortality during these transitions are summarized below.The focus is on the century from 1950 to 2050, covering the period of most rapid global demographic change.The main source of data is the United Nation's 2006 world population assessment, which provides estimates for 1950–2005 and projections from 2005 to 2050 (United Nations 2007).
Future population trends The projected rise in world population to 9.2 billion in 2050 represents an increase of 2.Nearly all of this future growth will occur in the ‘South’—i.Africa, Asia (excluding Japan, Australia and New Zealand), and Latin America—where population size is projected to increase from 5.
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9 billion between 2005 and 2050 (table 1).
In contrast, in the ‘North’ (Europe, Northern America, Japan and Australia/New Zealand), population size is forecast to remain virtually stable, growing slightly from 1.The difference in trends between these two world regions reflects the later stage of the transition in the North compared with the South How to order an population growth powerpoint presentation 100% original Rewriting MLA one hour Platinum.The difference in trends between these two world regions reflects the later stage of the transition in the North compared with the South.
population (billions) The global demographic transition began in the nineteenth century in the now economically developed parts of the world (the North) with declines in death rates.Large reductions in birth rates followed in the early part of the twentieth century Chapter 5 Caring for Seniors MSF.Large reductions in birth rates followed in the early part of the twentieth century.These transitions are now more or less complete Chapter 5 Caring for Seniors MSF.These transitions are now more or less complete.But, as shown in table 1, trends for the two principal regions in the North are expected to diverge between 2005 and 2050: an increase from 0.45 billion in Northern America, and a decline from 0.In fact, several countries in Europe (e.
Japan) face significant population declines as birth rates have fallen below death rates.The demographic transitions in Africa, Asia and Latin America started later and are still underway.94 billion, more than half of the world total, and its population is expected to grow by 34 per cent to 5.92 billion inhabitants in 2005, is likely to experience by far the most rapid relative expansion, more than doubling to 2.56 billion in 2005, is the smallest of the regions of the South; its projected growth trend is similar to that of Asia.It may seem surprising that population growth continues at a rapid pace in sub-Saharan Africa, where the AIDS epidemic is most severe.This epidemic has indeed caused many deaths, but population growth continues because the epidemic is no longer expanding and the birth rate is expected to remain higher than the elevated death rate in the future (UNAIDS 2007; Bongaarts et al.The epidemic's demographic impact can be assessed by comparing the standard UN population projection (which includes the epidemic's effect) with a separate hypothetical projection in which AIDS mortality is excluded (United Nations 2007).In sub-Saharan Africa, the former projects a 2050 population of 1.76 billion and the latter a population of 1.2 billion in 2050 between these projections with and without the epidemic is due to deaths from AIDS as well as the absence of the descendents from people who died from AIDS.According to these projections, the population of sub-Saharan Africa will grow by one billion between 2005 and 2050 despite the substantial impact of the AIDS epidemic.In fact, no country is expected to see a decline in its population size between 2005 and 2050 due to high AIDS mortality.Most populations in sub-Saharan Africa will more than double in size, several will triple and Niger is expected to quadruple by 2050 (United Nations 2007).Transitions in the developing world have generally produced more rapid population growth rates in mid-transition than historically observed in the North.
Kenya and Uganda), peak growth rates approached four per cent per year in recent decades (implying a doubling of population size in two decades), levels that were very rarely observed in developed countries except with massive immigration.Two factors account for this very rapid expansion of population in these still largely traditional societies: the spread of medical technology (e.immunization, antibiotics) after World War II, which led to extremely rapid declines in death rates, and a lag in declines in birth rates.Population sizes for the 10 largest countries in 2005 and in 2050 are presented in table 2.13 billion) were by far the largest countries, together accounting for nearly half the South's total.
The top 10 include six Asian countries and only one country each in Latin America and Africa.By 2050, the ranking is expected to have shifted substantially, with India's population exceeding China's, and with Ethiopia and DR Congo rising to the top 10, replacing Japan and the Russian Federation.Ten largest countries by population size in 1995 (estimate) and 2050 (medium projection).rank To simplify the presentation of results, all projections discussed in this study are taken from the medium variant of the UN projections (United Nations 2007).The UN has a good record of making relatively accurate projections (National Research Council 2000), but the future is of course uncertain and actual population trends over the next half century will likely diverge to some extent from current projections.The UN makes an effort to capture this uncertainty by publishing separate high and low projections.For the world, the high and low variants reach 7.8 billion, respectively, in 2050, indicating a rather wide range of possible outcomes (see dashed lines in figure 1). Drivers of population growth: fertility and mortality The world's population increases every year because the global birth rate exceeds the death rate.For example, in 2000–2005 population size increased at a rate of 1.
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17 per cent per year, which equals the difference between a birth rate of 2.
At the country level, population growth is also affected by migration, but for the regional aggregates of population used in this analysis, migration is usually a minor factor, and it will therefore not be discussed in detail.The annual birth and death rates of populations are in turn primarily determined by levels of fertility and mortality experienced by individuals Human population growth and the demographic transition NCBI NIH.The annual birth and death rates of populations are in turn primarily determined by levels of fertility and mortality experienced by individuals.
The most widely used fertility indicator is the total fertility rate (TFR), which equals the number of births a woman would have by the end of her reproductive years if she experienced the age-specific fertility rates prevailing in a given year.
Mortality is often measured by the life expectancy (LE) at birth, which equals the average number of years a newborn would live if subjected to age-specific mortality rates observed in a given year Mirrors development of OER with modification by Army Leaders. ▫ Training rated NCO; and 3) “Relief for Cause” evaluation reports when the senior rater or an .Mortality is often measured by the life expectancy (LE) at birth, which equals the average number of years a newborn would live if subjected to age-specific mortality rates observed in a given year.(a) Fertility The UN's past estimates and future projections of fertility levels by region for the period 1950–2050 are presented in figure 2 Mirrors development of OER with modification by Army Leaders. ▫ Training rated NCO; and 3) “Relief for Cause” evaluation reports when the senior rater or an .(a) Fertility The UN's past estimates and future projections of fertility levels by region for the period 1950–2050 are presented in figure 2.In the 1950s, the TFR in the South was high and virtually stable at around six births per woman on average.This high level of fertility reflects a near absence of birth control, a condition that has prevailed for centuries before the middle of the twentieth century.In the late 1960s, a rapid decline in fertility started nearly simultaneously in Asia and Latin America.
In contrast, Africa has experienced only limited reproductive change.As a result of these divergent past trends, fertility levels in 2000–2005 differed widely among regions from as high as 5 births per woman (bpw) in Africa, to 2.Average fertility in the North was already low in the early 1950s and has since declined to 2.Projections of future LEs by the UN assume continued improvements over time in all regions.The North is expected to reach 82 years in 2050 despite the increasing difficulty in achieving increments as countries reach ever higher levels of LE.Asia and Latin America are expected to continue to close the gap with the North, and Africa will continue to lag, in part because the continent remains affected by the AIDS epidemic.
It should be noted that the assumptions made by the UN about future trends in fertility and mortality are not based on a firm theoretical basis.Instead, the UN relies on empirical regularities in past trends in countries that have completed their transitions, mostly in the North, where fertility declined to approximately the replacement level, and increases in LE became smaller over time.This is a plausible approach that unfortunately leaves room for potential inaccuracies in projection results. Changing population age composition Over the course of the demographic transition, declines in fertility and mortality cause important changes in a population's age composition.
In general, countries in the early stages of the transition have a younger age structure than countries in the later stages.Figure 4 presents the distribution of the 2005 population in four broad age groups: 0–14, 15–24, 25–64 and 65+ by region.Most of the regions in the South—Africa, Latin America, South Asia and West Asia—have very young age structures with about half of the population under age 25 (62% in Africa).The exception is East Asia (mostly China) where this proportion is 37 per cent.In the North, the population under 25 is still smaller: 35 per cent in North America and just 30 per cent in Europe.
The reverse pattern is observed for the proportion 65+, which is much higher in the North than in the South, ranging from as high as 15 per cent in Europe to as low as just 3 per cent in Africa.But there is one crucial part we often don't invest in sufficiently.Data presentation! The actual output that is almost singularly responsible for driving the change we want in our organizations.
The thing that is the difference between an organization that data pukes and the one that influences actions based on understandable insights.I believe we should present our data as effectively as possible in order to first build our credibility, second to set ourselves apart from everyone else who can present complicated graphs/charts/tables, and third allow our leadership teams to understand the singular point we are trying to make so that the discussion moves off data very quickly and on to what to with the insights.A vast majority of occasions where data is presented (reports, executive dashboards, conference presentations, or just plain here's a automated emailed thingy from Google Analytics ) end up being abject failures because most of the discussion is still about the data.And if you are sitting in a Nth level tactical meeting, that is ok.But if the occasion is a strategic discussion, any occasion about taking action on data, then you need to get off data as fast as you can.
After all you spent so much time on collection, reporting and analysis.You want to show them all data stuff and how much you worked and how cool your technique was.But trust me, it is better for your career (and, this is a lot less important, but much better for your company/audience :)) to get really, really good at data presentation.This post shares eight before and after examples that illustrate seven data presentation tips that I hope will inspire you to look at your report/dashboard/PowerPoint slide in a new light.
We will look at some simple errors, and some much more subtle ones that end up limiting our ability to communicate effectively with data.Here's a quick summary: It's not the ink, it's the think.This post is not about tufte'ing your work.
It is not a post about expressing your inner Excel geek with the most advanced remastered sparklines or conditional scatter plots.
Advanced, sophisticated visualizations are important.But I find that so many times people focus on the ink and not the think Power Point-formatted handouts for a paper presented at Stó:Lô Nation Are Canada and BC Meeting International Standards Regarding the Rights of Indigenous Peoples? The UN Working Group on Indigenous Populations their political status and freely pursue their economic, social and cultural development,”. and..But I find that so many times people focus on the ink and not the think.
Hence all the insights-free data visualizations floating around the web that are totally value-deficient, even as they are pretty.In this post I simply want you to focus on the think and not the ink.What was the error in thinking? How can you ensure you never make that error? Then, go express your inner visualization beast.
:) My inspiration for a focus on the think: Bob Mankoff Lesson 1: Don't be sloppy.This graph is from an article by the consulting company McKinsey.It actually shows very interesting data.Yet, I could not get over how sloppy the graph was.For me, and perhaps for others, the sloppiness made the data appear to be an amateurish effort (surprising, given the source) and took away from the deservedly mighty McKinsey brand.Can you see what the problems are? The first problem is that the title is weirdly placed.Then the y-axis legend is even more weirdly placed.The most important part seems to be to get the names of the company, gigantic, over two lines and distracting.
Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? And if it is only two quarters of data, why is it taking up the same distance as represented by one year? Surprisingly sloppy from McKinsey, right? Watch out for these errors.People in the room (in a small room or a board room or a conference auditorium) will know a lot less about the data than you will, their first impression, and often the lasting impression, might be how clean your data presentation is.Even without access to the raw data (let's say I'm a busy McKinsey blog post writer), you can make a couple of simple changes to the graph to make it cleaner and less sloppy… Clean up the title, rephrase it.Move the y-axis description to the right place.Make the source attribution much smaller.
If the data is good, people will seek it out.Either way, why make it intrusive? Scroll back up.Much cleaner, right? 30 seconds of work.
If I had the raw data, I would also fix the x-axis and representation of the partial 2013 data.But at least you can see what 30 seconds can do.When it comes to your work, take the 30 seconds.PS: The data in the graph is cool, you can see my brief analysis on my LinkedIn Influencer Channel: Email Still Rocks! Social, Surprisingly, Stinks! Lesson 2: Bring insane focus, and simplify.
I'm sure you've either seen someone present a slide that looks like, or you've created a slide/executive dashboard like this one.: ) Before you scroll any further, what errors, subtle or obvious, do you see? Don't rush.Minor Rant: Never, ever, never obsess this much about CPCs.
But if you had to obsess about something, obsess about the value delivered to the business.You will never obsess about the cost per trade of your E-Trade portfolio, right? It could go down from $10 per trade to $1, and you could have completely gone bankrupt as a result of your trades.Focus on Economic Value from your search advertising.
Focus on Profit from your search advertising.As long as you make a profit, does it matter if your CPC is $1 or $200? And would it matter if your CPC went from $200 to $1 if you were making no profit? The metric CPC aside, we do present data like this all the time.The first challenge is that there is too much of it.We have actuals and we have the YOY change.
Then we have it for the company and its category.Finally, we have it segmented into desktop and mobile and as if that was not joyous enough, further segmented into Brand and Non-Brand.As if that was not enough, the data presentation itself is a bit uninspired.
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First pick one primary thing to focus on.
When you design dashboards this is absolutely critical.In this case, I believe, the most interesting thing is the YOY change How to purchase a population growth powerpoint presentation Freshman Academic Rewriting British.In this case, I believe, the most interesting thing is the YOY change.
I bring it center stage, and make the actual CPC as small as I possibly can (in case someone wants it that desperately).Next I create a simpler data presentation, God bless Excel, by creating two big clusters next to each other Jump to Ditch the text, visualize the story. - Then draw a bar in PowerPoint, eyeball the size (no, It is less obvious how to illustrate the mobile growth. Why not simplify the data presentation to make it boom what percent of the population has some form of We get caught in the trap of giving our senior .Next I create a simpler data presentation, God bless Excel, by creating two big clusters next to each other.Now it's just a matter of two similar columns that we can distinguish with the use of color.
Here's the result… Again, something very quick you can do.(I'm sure like me you have a favorite custom font you use to make your presentations really yours.) The orange and purple are easy on the eyes, and distinguish the two clusters nicely.The size of the font used makes the things that should stand out, stand out easily.Notice because the company performance is all in one row, it is much easier to see that their CPC year-over-year change is less than the category (something harder to see in the original version).
Bring insane focus to your data presentation.If you can, focus on a singular metric for each module/slide/element.Then present the data as simply as you possibly can.And often, you don't need to go very far from the defaults in Excel – though you are welcome to use any software you want.Lesson 3: Calibrate data altitude optimally.
Ignore the ugly graph and the terribly formatted axis, time periods used, etc.Do you see the problem? Don't scroll any further.
Look at it again, see the mistake made? It is not completely obvious, but the Analyst is expecting that in the very short time the leadership team has to look at this data, that they'll also be clever enough to do the math for each row, commit it to memory and then compare all four rows and figure out which video is performing better.The altitude is all over the place! You are the Analyst.Then make the hard decisions and figure out how to present data as effectively as you possibly can.
In this case I had to decide what the key point was (this is the think part).I believe it was that using advertising to drive views of a video fueled organic views as well.Then it was simply a matter of figuring out the best way to present the data.All that's left now is to do the math in Excel and paste it on to the dashboard… The recipient can get to the insight really fast because there is less data (fewer words and clutter), it is well thought out, and we can move to asking hard questions about performance.What the heck happened with Video B? And OMG what is up with Video D??? That is what you want, shift the discussion from the data to what happened and what to do now.Bonus: As the smart Analyst that you are, at this point you'll realized Earned and Paid Views don't tell the full story.So you'll change the table to Total Views and % Earned.You would not have known that's what you needed if you'd stuck with your original textual version! The value of focus and think.
Lesson 4: Eliminate distractions, make data the hero! Raise your hand if you've not created a slide like the one below for your presentation.We take the most interesting part, the data, and surround it with clutter that only makes it harder to understand what the point is.The data is the hero, what is the need to have the arrows and the box and the descriptions? Is there any need for the useless stock photos (and what is up with the magnifying glass to represent research, who does that?)? And why repeat "use online sources," is that not obvious in the awfully crafted title? Look at the image for a moment.
How would you decrapify this slide? Got an answer? Ok, now scroll.
Share your decrapified version via comments below.My process was to simplify the title to something more direct and easy to understand.Then use three different bars to represent each stage of the process, and to fill each up to represent the percentages.Finally, I'm slightly allergic to terms like awareness and consideration.
They are too generic, they encompass too much.
So I took the direct route, just wrote down what each bar actually represents.
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You can use different colors, mix to suit your own taste.Red in my case is to make the online usage stand out on a very large screen.I'd experimented with having a break in the gray x-axis (yes, I worry about those things!), it looked nicer Outcome Measurement is the process for assessing, on a changes for individuals or populations during elderly people Monday - Friday in an adult day care program. 14. Components of a Logic Model. ✓ Inputs. ✓ Activities. ✓ Outputs Outcomes. Initial. Outcomes. Outputs. Activities. Inputs. Standard format for a..I'd experimented with having a break in the gray x-axis (yes, I worry about those things!), it looked nicer.
But visually it ended up representing a break, rather than the continuity that each stage represents.
If you spend sometime on the think , it is so much easier to decrapify the data presentation to focus on the most essential element and make data the hero (again, so that you can get off the data very quickly and have a discussion about what the business should do).Lesson 5: Lines, bars, pies… stress… choose the best-fit.If you are a student of the Market Motive web analytics master certification course, you'll note my love for segmented trends rather than snapshots in time when it comes to data presentation.Trends are often better at delivering deeper insights.
And because all data in aggregate is crap, segmented trends are even better! But, as all smart analysts know, often is not always.Here's a great example… The dashboard module shows how American's consume media, and how that behavior has changed over the last four years.Please take a minute and reflect on the graph.Do you love it? Does it communicate the change optimally? You'll agree, the graph is nice and clean.It is easy to understand what is going on.
Sure we can line up the numbers on the right correctly, but that is a minor point.As a Digital Marketing Evangelist, you can imagine I love the data.: ) I was not sure that I love the line graph.I felt it would take too long to understand just how much things had changed.People would spend too much time trying to understand the graph.
And even then, at a deep gut level, not internalize it (even though to you perhaps it is utterly obvious).Except for TV, the trends adds almost no value (and even for TV just a little).This allowed me to switch the x-axis to each media channel, they were the heroes here.I believe this version shows the change much more starkly and since you can look at one channel at a time, you can absorb the change much, much faster than with the line graph.While with the line graph you could see people spent more time with digital than with TV in 2013.And while TV is physically from Digital in the above picture, you can easily see that one is much higher than the other.Even question your teacher who might love segmented trended graphs! : ) Understand who your audience is, think about the point you are trying to make with your analysis, and then use the best-fit data presentation method.Lesson 6: Consolidate data, be as honest as you can be.
The first slide showed the desktop and laptop performance for search traffic for puppies (real data below, just not that category!)… It is easy to see how puppies are doing in context of the average number of searches for land animals and sea animals.Put another way, company performance compared to two benchmarks.
The second slide illustrated the mobile search performance for puppies, and compared it to the same categories… Both sets of data presented simply.Then scroll up a little more, look at the first one.
See the problem? One obvious problem is, why spread the data on to two different slides? Most people are terrible at keeping track of things as they jump slides/pages.The graphs make it seem like there are two similar sized problems to deal with for us as PuppiesRUs Inc.
Perhaps, for a good reason, we want the company to believe that they are similar sized problems because our company sucks at mobile and we want to light a sense of urgency under our collective butts.I believe as an Analyst we should be as honest as possible in these cases.(I'm NOT implying that there was a deliberate attempt to not be honest above.) We should show the data in as honest a way as possible, we should be as objective as possible.
I simply took the data in the two graphs and put it on to one graph, same bar graph, and fixed the title to make the presentation simpler (I hate long complicated titles).In an attempt to pay an homage to the importance of mobile, changed the color to red… To our leadership team, the recipient of our presentation, it is really clear how we are performing overall and in mobile.It is also clear that desktop plus tablet, blue, is the most important area of focus.
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We have to keep the pedal to the metal when it comes to that.But that mobile is also an important area deserving some dedicated focus.
There is no chance that they will inadvertently think the size of both the opportunities is the same This template gives you a starting point to create a presentation to senior To create a shorter version, it is recommended to remove slides 10, 12, 13, 14, 15, Information and templates to assist your workplace health and wellbeing program causes an average of 6.5 days of productivity loss per employee per year; has .There is no chance that they will inadvertently think the size of both the opportunities is the same.
Lesson 7: Ditch the text, visualize the story.
Often we hear that data is overwhelming or that graphs are evil or that tables suck or… well, I'm sure you've heard it all.Our response to that is to try and "simplify the story" by eliminating all that and just writing the insights in text with a big summary number 7 Data Presentation Tips Think Focus Simplify Calibrate Visualize.Our response to that is to try and "simplify the story" by eliminating all that and just writing the insights in text with a big summary number.More often than not you end up with something super-ugly and value-deficient like this… Imagine yourself to be sitting in the audience and trying to internalize everything that's going on here! I'm sure someone is going to walk you through it.Do you think there is any chance you can grasp the multiple agendas at play above? I seriously doubt it.Look at it! Even if you only have two minutes, all I had in this case, it is pretty easy to fix the above textual representation and make it much easier to understand what is going on.First, think of what the key point is and replace the long red-book ended title with it.Then draw a bar in PowerPoint, eyeball the size (no, really, don't even go in Excel to create the graph, no one is going to notice!), and fill in the sub-components.For data you can't find an obvious home for, use call-outs.Two minutes later… So much easier to see that story is about how many people search for our company topics and that weight management and monitors are the most interesting.
In this case we have the data that can fill out rest of the bar, but we want the leadership team/audience to focus on just two and those are the ones you see above.It is less obvious how to illustrate the mobile growth.Two more bars? Perhaps a heat-map showing high and low? Nah! Just add two call-outs and you are done! When the data's end state is a PowerPoint/Keynote presentation, use the fade transition (all other transitions are evil) and bring one piece of data at a time up on the screen.It will look beautiful and the audience with stay with you as you narrate other insights you know that are not represented on the slide.A style of presentation you should use every time you present anything.
Here's another example of eliminating text, reducing complexity, focusing the the key point and visualizing data simply to get off the data quickly and discuss actions.What is done right or done erroneously? If you had to improve on the power of communication for this example, what would you do? Pause.The first simple mistake you likely won't make as an analyst is to use two different things to represent the same number.For example, either stick to the dollars or use the percentage.This might not seem like a big deal in isolation, but every little bit like this takes a tiny bit of your credibility away and it causes the audience to have to shift their minds a little.Over a number of these types of mistakes in your dashboard or your presentation take away 0.
Why dig that hole for yourself to have to climb out of? The second simple mistake, obvious in hindsight I'm sure, is that there is simply too much text.
Why not simplify the data presentation to make it boom (!) impactful right away? I did like the map, but it was intrusive.
So my first act was to take the map, fade it out (use a white transparency, 13%).Then I did not like the numbers, they don't add any value.Just throw in two simple bars (standard shape in PowerPoint, no Excel necessary), and add a touch of color to show targeting efficiency of TV and Radio.Finally add the bridging text and use the brace (use the little yellow handle to drag the brace so it is aligned) to show how well or badly each media channel is doing.
(Think of the Old Spice ad! :) The presentation is simpler.Even without reading anything you can get a sense for what is good and bad.The questions will come fast and loose: Why do we do TV? And if there is 75% leakage, is it still worth it? What is the optimal media-mix for our efforts? We believe that summarizing our findings in text is the solution.We believe tables and graphs add complexity.It takes a tiny amount of time to really look at the data you are presenting, really think about what you are trying to say and identify the singular point.Once you know that, it is only a couple of minutes of work to decrapify the report/dashboard/slide/spreadsheet and ensure we are presenting data as simply as possible using the most optimal visual.Then invested all that time and energy in reporting it.Finally, really dug deep, did the analysis.Your goal: Get of the data as fast as you can, switch to the discussion of actions.
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Victory, I promise, will be yours! Bonus: Speaking of data visualization, more inspiration for you: