if you wanna know about the top 10 data visualization examples, then read this article for more details.
The representation of huge volumes of data in the form of charts, maps, graphs, or any other type of visual format to aid in the identification of linkages and patterns in data is known as data visualization.
While the term "data visualization" conjures up images of complicated graphics that only data analysts can comprehend, it's actually a lot more creative and straightforward than you may expect.
From business dashboards to cuisine to politics to pop culture trends, there are a plethora of data visualization examples.
In addition to data analysis skills, successful data visualization necessitates storytelling and graphic design abilities.
Napoleon March Map-
The Napoleon March map depicts Napoleon's disastrous march to Moscow in 1812 in order to seize the city of Italy.
He embarked on the march with approximately 470,000 troops and only returned with 10,000.
This graph has become one of the most well-known examples of data visualization in history.
The entire number of soldiers is shown by the breadth of the line.
The color reflects the journey's direction: yellow for marching toward Moscow, and black for going back.
It also includes a simple temperature line graph to show how the temperature was lowering at the time.
1854 Broad Street Cholera Outbreak Map
John Snow (not Game of Thrones' Jon Snow) created the 1854 Broad Street Cholera Outbreak Map, which is an early example of dot map representation.
It includes little bar graphs on city blocks that depict the frequency of deaths in a particular London district.
They discovered that the houses with the highest cholera deaths all used the same well for drinking water using this data visualization example.
The well in issue had been contaminated by sewage and served a region plagued by cholera outbreaks.
This discovery aided the public in tracing a link between illness and contaminated wells.
Building stronger sewage systems and protecting the wells from contamination was the solution.
Causes of Mortality in the Crimean War
Soldiers died at an alarming rate during the Crimean War in the 1850s, and it wasn't only because of the fights.
Florence Nightingale, a pioneering nurse, and data analyst created this stunning data visualization to demonstrate that the majority of soldiers' deaths were caused by bad medical standards.
The total number of deaths is shown by the shaded areas of the graph.
Combat deaths are represented by the deeper coloured areas.
It's clear from the graph that something other than actual battle was to blame for the troops' fatalities.
How Eggs Get Their Shape
With data from around 50,000 bird eggs collected over the last 100 years, scientists have now worked out why various kinds of birds have distinct egg morphologies.
Diet, adult body mass, nest type, nest location, number of eggs in a nest, and a variety of flight patterns were all factors considered by the researchers.
The length of an egg is proportional to the size of the bird's body, according to the research.
The asymmetrical and elliptical shape of an egg, on the other hand, is related to the bird's flight behaviors.
Interactive Government Budget
Every country is guilty of making it incredibly difficult for the general population to understand government budgets.
During Obama's presidency, this treemap was created at the White House to visually break down the US budget for 2016.
It isn't the most innovative treemap, and it isn't interactive; at best, it is a simple data visualization example.
However, this treemap made headlines because a major international power used a data visualization tool to inform its citizens exactly where their tax dollars were going.
How Americans Eat
Food availability is tracked by the United States Department of Agriculture (USDA), which contains data from 1970 to 2019.
Nathan Yau, a statistician and data visualization expert from the United States, used this information to examine how Americans eat and how it has changed over the last four decades.
When did chicken overtake beef as the most popular meat? Is it possible for pork to defeat beef in the meat race? Which is more popular: lime or lemon? These are only a few of the issues that the chart aims to address.
The Next US
Another gorgeous and dynamic data visualization example is The Next US, which takes a comprehensive look at demographic data in the United States.
The percentage of the US population by age group is depicted in this graph.
A five-year age group is represented by each bar.
The chart was in the shape of a pyramid when the investigation began.
It will virtually resemble a rectangle by 2060.
This means that there will be as many children under the age of 5 as there are people above the age of 85 in the United States.
This is due to decreased birth rates and longer life expectancies.
Film Dialogue (Broken Down by Gender)
The Custard While Polygraph aka The Pudding uses four main visualizations to depict gender disparity in pop culture: a breakdown of Disney films, an overview of 2000 screenplays, a gradient bar that allows you to search for the top-grossing films and explore some key filters, and age biases between male and female roles.
The gender representation in every genre is clearly skewed, as evidenced by the charts.
Men have the majority of dialogue in most movies, which is simple to detect.
This data visualization effort is significant for its transparency, which reveals that white men continue to dominate most movie roles, in addition to the striking discoveries from examining thousands of scripts.
Selfiecity performs a fantastic job with selfies, which no one would have anticipated would become meaningful data in the first place.
To research how people from all over the world snap selfies, 120,000 selfies were analyzed.
What's fascinating about this research is how seriously it treats each and every selfie.
Trends can be found in practically any aspect of life, including grin frequency, head tilt, stance trends, gender, and more.
Women in So Paulo, for example, are more likely than the rest of the globe to shoot selfies with an extreme head tilt.
Smiles are the focus of the selfie in Bangkok.
How State Populations Have Shifted
Since 1920, this interactive data visualization example displays the ranking of population movements in US states by decade.
The complexity of these demographic fluctuations cannot be explained by a single theory.
However, as economies changed throughout time, new sectors arose, and particular states drew migration from both within and outside the country.
According to the report, states in the South and West have made the most progress over the last century, while those in the Midwest and Northeast have fallen behind.
What is the future direction of data visualization?
Data visualisation was valued at $9.06 billion in 2019 and is expected to rise at a 7.83 percent compound annual growth rate (CAGR) to $15.35 billion by 2026.
What is the best data visualization?
Google Charts, Tableau, Grafana, Chartist. js, FusionCharts, Datawrapper, Infogram, ChartBlocks, and D3. js are among the greatest data visualisation tools. The best tools are easy to use, include a choice of display styles, and can handle massive data volumes.
Can data visualization can predict the future?
By generating infographics that can be turned into important insights, the future of Big Data visualization drastically boosts and improves productivity. Nothing beats being able to share real-time insights through engaging images.
What is the current trend in data visualization?
Machine Learning and Artificial Intelligence Datavis. This could easily be number one - AI and machine learning are at the heart of all outstanding data visualization, and they will become even more important as technology advances.