5 Megatrends Fueling the Rise of Data Storytelling
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5 Megatrends Fueling the Rise of Data Storytelling



Infographic explaining the Rise of Data Storytelling

Infographic: The Rise of Data Storytelling

Humanity is creating more data than ever before, and more of that data is publicly accessible.

While “data is the new oil” has almost become a cliché, the impact that data abundance is having on the world is undeniable. All of the world’s most valuable companies are heavily reliant on data for their continued success. Even oil giant Saudi Aramco, the world’s most valuable company, runs a 6,000 m² data center, and is partnering with Google Cloud.

In a world where nearly everything is quantified, communicating insights from that data becomes a massive opportunity. This is where data storytelling comes in. In simple terms, it’s the difference between simply making a chart, and actually explaining what it means, why it’s important, and how it fits into the broader context. This style of data-driven communication is cropping up everywhere, from newsrooms to corporate communications.

Here, we examine five megatrends fueling the rise of data storytelling.

① Information Overload

It’s estimated that between 2015 and 2025, the world will see a 16-fold increase in data.

  • The bad news: The rising tide of information is growing faster than our ability to harness it
  • The good news: This growing universe of data holds the promise of more insight, if properly utilized

Thankfully, data storytelling is an emerging field that thrives on information abundance.

As our society and economy grow more complex, more high-quality, actionable information is critical for today’s decision makers.

② Declining Trust in Media

Trust in news media has been declining for decades, and in many countries around the world, the majority of people don’t feel that media is a trustworthy source of information.

Trust in social media is similarly shaky. Only one-third of people surveyed around the world believe that social media is a trustworthy source of information. As well, a recent poll found that 75% of U.S. adults felt that political views were likely being censored by social media platforms.

The mass media ecosystem as it currently exists is facing a crisis of confidence. When a system is no longer adequately serving the needs of its users, that system is ripe for disruption.

③ Winner-Take-All Dynamics

This information abundance should be propelling humankind forward, but more often than not, valuable insights are lost in the noise—either poorly presented or pushed to the margins by clickbait and other distractions.

Today, most of us rely on algorithms and aggregators to deliver information to us. Over time, those systems become very good at feeding us information that is generally what we’re looking for. The downside, however, is that engagement-driven algorithms reward only the most compelling narratives. The handful of stories you see are the result of fierce, darwinistic competition on platforms like Twitter or Medium.

This hyper-competitive environment is part of the reason there are so many problems with media today—clickbait and tabloidization being two prominent examples.

Data storytelling takes potentially dry, complex topics and makes them more accessible, compelling, and more likely to win the battle for people’s attention.

④ Moving Beyond Text

Many of our existing systems look the way they do in part because of past technological limitations.

Search engines, for example, are still largely driven by text-based considerations. This makes sense as the early internet was essentially a collection of pages with text and hyperlinks.

Today, search engines are much better taking other forms of information into consideration, and technological advancements are breaking new ground in analyzing video and data visualizations. Advancements in AI could soon allow users to search for visualizations in ways that don’t even involve text keywords.

In a future where searching for information in a visual format is as intuitive as a Google search today, the utility and reach of data storytelling will increase dramatically.

⑤ Democratization of Data Storytelling

Even as the number of people with professional credentials in data analytics, data science, and other similar professions is on the rise, it’s never been easier for laypersons to create and publish high quality visualizations.

Free tools which are usable on almost any device have broken down barriers of access for millions of people around the world. There is now a universe of resources for people and organizations looking to convert data into a compelling visual format.

Below is a shortlist of data storytelling resources ranging from the intuitive design tools to powerful coding language libraries:

Resources for getting started   
Visualization selectionData Viz ProjectFrom Data to VizStorytelling With Data
Color selectionAdobe Color CCPalettonColors on the Web
Beginner friendlyInfogramPiktochartVenngage
Bringing data to life   
ClassicMicrosoft ExcelAdobe Creative SuiteGoogle Data Studio
Web appsRAW GraphsFlourishDatawrapper
Powerful, specialized resources   
JavaScript librariesd3.jsChart.jsHighCharts
Programming languagesRPythonMatlab

Of course there are many more resources out there, and we’ll be covering this more comprehensively in the future.

The Last Mile

The concept of “the last mile” is typically associated with e-commerce. Fulfillment can be centralized in massive hubs and delivery can be optimized with uniform trucks and precise routes, but neighborhoods and residences refuse to conform to rigid standards. The last mile is where the orderly world of logistics fragments into randomness, making this leg of the journey the thorniest problem for companies like Amazon to solve.

This last mile analogy lends itself to communication as well. Analytics and datasets can be polished and made publicly accessible, but the real world is messy. Humans are unpredictable, each with their own style of learning and varying levels of data literacy.

Also, unlike e-commerce—which begins with a defined request—insight comes in unexpected flashes. Those moments of serendipity need the right conditions to occur, and the fact of the matter is, most sources of high quality information (databases, white papers, reports, etc.) are only accessed by the small number of people who conduct research for a living.

This is the great opportunity presented by data storytelling. High quality information is distilled into a form that is more digestible, memorable, and sharable, allowing more people to benefit from this era of information abundance.

Put simply: data storytelling bridges the gap between under-utilized knowledge and the growing number of people who are striving to separate the signal from the noise.

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Mapped: The 3 Billion People Who Can’t Afford a Healthy Diet

More than three billion people across the globe are unable to afford a healthy diet. See which countries are most affected.



The 3 Billion People Who Can’t Afford a Healthy Diet

While they aren’t often the focus of news media, hunger and undernourishment are problems plaguing millions of people every day.

According to the UN Food and Agriculture Organization (FAO), more than 3 billion people could not afford a healthy diet in 2020, an additional 112 million more people than in 2019. The increase was partly because of rising food prices, with the average cost of a healthy diet rising by 3.3% from 2019 levels.

As of August 2022, the FAO food price index was up 40.6% from average 2020 levels. Unless income levels increased by a similar magnitude, the healthy diet crisis is likely to have worsened, especially in low-income countries experiencing rampant food inflation.

Using data from the FAO, the above infographic maps the share of people unable to afford a healthy diet in 138 different countries as of 2020 (latest available data).

The Cost and Affordability of a Healthy Diet

According to the FAO, a healthy diet is one that meets daily energy needs as well as requirements within the food and dietary guidelines created by the country.

The (un)affordability is measured by comparing the cost of a healthy diet to income levels in the country. If the cost exceeds 52% of an average household’s income, the diet is deemed unaffordable.

Here’s a look at the share of populations unable to afford a healthy diet, and the cost of such a diet around the world:

CountryPercent of population unable to afford a healthy dietCost of Healthy Diet (USD per Person per Day)
Burundi 🇧🇮97.2%$2.9
Madagascar 🇲🇬97.0%$3.2
Liberia 🇱🇷96.8%$3.9
Malawi 🇲🇼96.6%$3.1
Nigeria 🇳🇬95.9%$4.1
Central African Republic 🇨🇫95.1%$3.6
Guinea 🇬🇳94.9%$4.1
Angola 🇦🇴94.3%$4.5
Congo 🇨🇬92.4%$3.4
Sudan 🇸🇩91.8%$4.3
Mozambique 🇲🇿91.5%$3.2
Democratic Republic of Congo 🇨🇩90.0%$2.1
Sierra Leone 🇸🇱89.2%$2.9
Niger 🇳🇪88.8%$2.9
Zambia 🇿🇲88.0%$3.3
Tanzania 🇹🇿87.6%$2.7
Guinea-Bissau 🇬🇼87.2%$3.5
Ethiopia 🇪🇹86.8%$3.4
Rwanda 🇷🇼86.3%$2.7
Haiti 🇭🇹85.9%$4.5
Sao Tome and Principe 🇸🇹84.7%$3.6
Nepal 🇳🇵84.0%$4.4
Lesotho 🇱🇸83.5%$4.3
Pakistan 🇵🇰83.5%$3.7
Chad 🇹🇩83.4%$2.8
Benin 🇧🇯82.9%$3.7
Uganda 🇺🇬82.2%$2.7
Kenya 🇰🇪81.1%$3.0
Burkina Faso 🇧🇫80.1%$3.3
Laos 🇱🇦79.8%$4.1
Mali 🇲🇱74.3%$3.1
Bangladesh 🇧🇩73.5%$3.1
Egypt 🇪🇬72.9%$3.4
Eswatini 🇸🇿71.8%$3.4
India 🇮🇳70.5%$3.0
Indonesia 🇮🇩69.1%$4.5
Philippines 🇵🇭68.6%$4.1
Jamaica 🇯🇲66.2%$6.7
South Africa 🇿🇦65.2%$4.3
Myanmar 🇲🇲65.1%$4.2
Gambia 🇬🇲64.0%$3.1
Djibouti 🇩🇯63.9%$3.1
Botswana 🇧🇼61.4%$3.7
Ghana 🇬🇭61.2%$4.0
Cameroon 🇨🇲60.7%$2.8
Mauritania 🇲🇷60.7%$3.7
Fiji 🇫🇯60.4%$3.9
Suriname 🇸🇷58.8%$5.7
Namibia 🇳🇦56.8%$3.5
Bhutan 🇧🇹53.0%$5.0
Mongolia 🇲🇳51.4%$5.1
Honduras 🇭🇳51.3%$3.5
Iraq 🇮🇶49.6%$3.5
Kyrgyzstan 🇰🇬49.6%$3.2
Sri Lanka 🇱🇰49.0%$3.9
Senegal 🇸🇳46.0%$2.3
Guyana 🇬🇾43.0%$4.9
Armenia 🇦🇲42.9%$3.2
Tajikistan 🇹🇯42.1%$3.5
Cabo Verde 🇨🇻38.1%$3.6
Belize 🇧🇿36.4%$2.1
Gabon 🇬🇦36.3%$3.6
Nicaragua 🇳🇮35.7%$3.3
Algeria 🇩🇿30.2%$3.8
Vietnam 🇻🇳30.0%$4.1
Colombia 🇨🇴26.5%$3.1
Mexico 🇲🇽26.3%$3.3
Bolivia 🇧🇴24.7%$3.8
Palestine 🇵🇸23.1%$3.4
Ecuador 🇪🇨21.4%$2.9
Saint Lucia 🇱🇨20.6%$3.6
Peru 🇵🇪20.5%$3.3
Iran 🇮🇷20.3%$3.6
Tunisia 🇹🇳20.3%$3.6
Albania 🇦🇱20.1%$4.2
Brazil 🇧🇷19.0%$3.1
Dominican Republic 🇩🇴18.3%$3.9
Panama 🇵🇦18.2%$4.5
North Macedonia 🇲🇰18.0%$3.4
Paraguay 🇵🇾17.8%$3.5
Montenegro 🇲🇪17.5%$3.5
Thailand 🇹🇭17.0%$4.3
Costa Rica 🇨🇷16.8%$4.1
Morocco 🇲🇦16.7%$2.8
Serbia 🇷🇸16.3%$4.2
Jordan 🇯🇴14.9%$3.6
Mauritius 🇲🇺13.5%$3.6
China 🇨🇳12.0%$3.0
Trinidad and Tobago 🇹🇹11.6%$4.2
Romania 🇷🇴8.8%$3.2
Bulgaria 🇧🇬8.5%$4.1
Seychelles 🇸🇨6.8%$3.8
Moldova 🇲🇩6.7%$2.8
Chile 🇨🇱3.8%$3.4
Croatia 🇭🇷3.8%$4.3
Bosnia and Herzegovina 🇧🇦3.7%$4.0
Uruguay 🇺🇾3.6%$3.4
Russia 🇷🇺3.5%$3.4
Greece 🇬🇷3.2%$3.1
Italy 🇮🇹2.9%$3.1
Japan 🇯🇵2.5%$5.8
Hungary 🇭🇺2.0%$3.5
Spain 🇪🇸2.0%$2.8
Malaysia 🇲🇾1.9%$3.5
Latvia 🇱🇻1.8%$3.2
South Korea 🇰🇷1.7%$5.2
United States 🇺🇸1.5%$3.4
Maldives 🇲🇻1.4%$3.9
Estonia 🇪🇪1.3%$3.3
Kazakhstan 🇰🇿1.2%$2.7
Lithuania 🇱🇹1.2%$3.1
Slovakia 🇸🇰1.2%$3.2
Israel 🇮🇱1.0%$2.5
Poland 🇵🇱1.0%$3.2
Austria 🇦🇹0.8%$3.0
Australia 🇦🇺0.7%$2.6
Canada 🇨🇦0.7%$3.0
Malta 🇲🇹0.7%$3.8
Sweden 🇸🇪0.6%$3.3
Portugal 🇵🇹0.5%$2.7
United Kingdom 🇬🇧0.5%$1.9
Denmark 🇩🇰0.4%$2.5
Norway 🇳🇴0.4%$3.5
Cyprus 🇨🇾0.3%$3.0
Belarus 🇧🇾0.2%$3.3
Belgium 🇧🇪0.2%$3.1
Germany 🇩🇪0.2%$3.0
Netherlands 🇳🇱0.2%$3.0
Finland 🇫🇮0.1%$2.7
France 🇫🇷0.1%$3.2
Ireland 🇮🇪0.1%$2.2
Luxembourg 🇱🇺0.1%$2.7
Slovenia 🇸🇮0.1%$3.1
Azerbaijan 🇦🇿0.0%$2.5
Iceland 🇮🇸0.0%$2.4
Switzerland 🇨🇭0.0%$2.7
United Arab Emirates 🇦🇪0.0%$3.1
World 🌎42.0%$3.5

In 52 countries, more than half of the population cannot afford a healthy diet. The majority of these are in Africa, with the rest located across Asia, Oceania, and the Americas.

By contrast, in four countries—Azerbaijan, Iceland, Switzerland, and the UAE—everyone is able to afford a healthy diet. The picture is similar for most European and developed high-income countries, where more than 95% of the population can afford a healthy diet.

When the percentages are translated into numbers, Asia contains the most number of people unable to afford a healthy diet at 1.89 billion, of which 973 million people are in India alone. Another 1 billion people are in Africa, with around 151 million people in the Americas and Oceania.

While hunger is a worldwide concern, it is particularly acute in African countries, which cover all of the top 20 spots in the above table.

Africa’s Deepening Food Crisis

In many countries across sub-Saharan Africa, more than 90% of the population cannot afford a healthy diet.

Sub-Saharan Africa is particularly susceptible to extreme climate events and the resulting volatility in food prices. Roughly one-third of the world’s droughts occur in the region, and some sub-Saharan countries are also heavily reliant on imports for food.

Russia’s invasion of Ukraine has deepened the crisis, with many African countries importing over 50% of their wheat from the two countries in conflict. The rising food prices from this supply chain disruption have resulted in double-digit food inflation in many African nations, which means that more people are likely to be unable to afford healthy diets.

The Horn of Africa region at the Eastern tip of Africa is particularly in turmoil. All the countries in the region are reliant on wheat from Russia and Ukraine, with Eritrea (100%) and Somalia (>90%) high up in the import dependency chart. Additionally, the region is facing its worst drought in 40 years alongside ongoing political conflicts. As a result, 22 million people are at risk of starvation.

Population Growth and Food Insecurity

In November of 2022, the global population is projected to surpass 8 billion people, and many of the fastest growing countries are also food-insecure.

By 2050, the global population is likely to increase by 35%, and to meet the growing demand for food, crop production will need to double. Given that agriculture is one of the biggest contributors to greenhouse gas emissions, this increase in crop production will also need to be environmentally sustainable.

As the impacts of climate change intensify and food demand increases, reducing food waste, building climate-resilient agricultural infrastructure, and improving agricultural productivity will all play a key role in reducing the levels of food insecurity sustainably.

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Visualizing the Range of Electric Cars vs. Gas-Powered Cars

With range anxiety being a barrier to EV adoption, how far can an electric car go on one charge, and how do EV ranges compare with gas cars?



The Range of Electric Cars vs. Gas-Powered Cars

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EV adoption has grown rapidly in recent years, but many prospective buyers still have doubts about electric car ranges.

In fact, 33% of new car buyers chose range anxiety—the concern about how far an EV can drive on a full charge—as their top inhibitor to purchasing electric cars in a survey conducted by EY.

So, how far can the average electric car go on one charge, and how does that compare with the typical range of gas-powered cars?

The Rise in EV Ranges

Thanks to improvements in battery technology, the average range of electric cars has more than doubled over the last decade, according to data from the International Energy Agency (IEA).

YearAvg. EV RangeMaximum EV Range
201079 miles (127 km)N/A
201186 miles (138 km)94 miles (151 km)
201299 miles (159 km)265 miles (426 km)
2013117 miles (188 km)265 miles (426 km)
2014130 miles (209 km)265 miles (426 km)
2015131 miles (211 km)270 miles (435 km)
2016145 miles (233 km)315 miles (507 km)
2017151 miles (243 km)335 miles (539 km)
2018189 miles (304 km)335 miles (539 km)
2019209 miles (336 km)370 miles (595 km)
2020210 miles (338 km)402 miles (647 km)
2021217 miles (349 km)520 miles* (837 km)

*Max range for EVs offered in the United States.
Source: IEA, U.S. DOE

As of 2021, the average battery-powered EV could travel 217 miles (349 km) on a single charge. It represents a 44% increase from 151 miles (243 km) in 2017 and a 152% increase relative to a decade ago.

Despite the steady growth, EVs still fall short when compared to gas-powered cars. For example, in 2021, the median gas car range (on one full tank) in the U.S. was around 413 miles (664 km)—nearly double what the average EV would cover.

As automakers roll out new models, electric car ranges are likely to continue increasing and could soon match those of their gas-powered counterparts. It’s important to note that EV ranges can change depending on external conditions.

What Affects EV Ranges?

In theory, EV ranges depend on battery capacity and motor efficiency, but real-world results can vary based on several factors:

  • Weather: At temperatures below 20℉ (-6.7℃), EVs can lose around 12% of their range, rising to 41% if heating is turned on inside the vehicle.
  • Operating Conditions: Thanks to regenerative braking, EVs may extend their maximum range during city driving.
  • Speed: When driving at high speeds, EV motors spin faster at a less efficient rate. This may result in range loss.

On the contrary, when driven at optimal temperatures of about 70℉ (21.5℃), EVs can exceed their rated range, according to an analysis by Geotab.

The 10 Longest-Range Electric Cars in America

Here are the 10 longest-range electric cars available in the U.S. as of 2022, based on Environmental Protection Agency (EPA) range estimates:

CarRange On One Full ChargeEstimated Base Price
Lucid Air520 miles (837 km)$170,500
Tesla Model S405 miles (652 km)$106,190
Tesla Model 3358 miles (576 km)$59,440
Mercedes EQS350 miles (563 km)$103,360
Tesla Model X348 miles (560 km)$122,440
Tesla Model Y330 miles (531 km)$67,440
Hummer EV329 miles (529 km)$110,295
BMW iX324 miles (521 km)$84,195
Ford F-150 Lightning320 miles (515 km)$74,169
Rivian R1S316 miles (509 km)$70,000

Source: Car and Driver

The top-spec Lucid Air offers the highest range of any EV with a price tag of $170,500, followed by the Tesla Model S. But the Tesla Model 3 offers the most bang for your buck if range and price are the only two factors in consideration.

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