Data Ninja

This data visualization and bar chart race ranks the most profitable MCU movies, categorized into Phase 1 (*), Phase 2 (**), Phase 3 (***). The profit ratio is determined by dividing the Worldwide Box Office totals by the Production Budget. This is a much better measure of profitability since most rankings only include total box office sales while ignoring the production budget. Most Profitable Marvel Movies: 00:00 Intro 00:11 The Incredible Hulk 00:26 Captain America: The First Avenger 00:42 Thor 00:57 Iron Man 01:13 Iron Man 2 01:28 Avengers: Age of Ultron 01:45 Ant Man 02:00 Doctor Strange 02:16 Captain America: The Winter Soldier 02:31 Thor: The Dark World 02:47 Guardians of the Galaxy Vol 2 03:03 Guardians of the Galaxy 03:19 Captain America: Civil War 03:34 Thor: Ragnarok 03:50 Ant Man and the Wasp 04:05 Spider Man: Homecoming 04:21 Iron Man 3 04:37 Captain Marvel 04:53 Black Panther: Chadwick Boseman Tribute 05:08 The Avengers 05:24 Avengers: Infinity War 05:40 Avengers: Endgame 05:55 Spider Man: Far From Home The Marvel Cinematic Universe (MCU) is an American media franchise and shared universe centered on a series of superhero films, independently produced by Marvel Studios and based on characters that appear in American comic books published by Marvel Comics. The franchise includes comic books, short films, television series, and digital series. The shared universe, much like the original Marvel Universe in comic books, was established by crossing over common plot elements, settings, cast, and characters. (*) Phase One of the Marvel Cinematic Universe (MCU) is a series of American superhero films produced by Marvel Studios based on characters that appear in publications by Marvel Comics. The phase began in 2008 with the release of Iron Man and concluded in 2012 with the release of Marvel's The Avengers. (**) Phase Two of the Marvel Cinematic Universe (MCU) is a series of American superhero films produced by Marvel Studios based on characters that appear in publications by Marvel Comics. The phase began in 2013 with the release of Iron Man 3 and concluded in 2015 with the release of Ant-Man. (***) Phase Three of the Marvel Cinematic Universe (MCU) is a series of American superhero films produced by Marvel Studios based on characters that appear in publications by Marvel Comics. The phase began in 2016 with the release of Captain America: Civil War and concluded in 2019 with the release of Spider-Man: Far From Home. Don't forget to like, share, and comment! Subscribe for several weekly uploads! 🙏 📊 📊 Data: https://www.the-numbers.com/ https://www.denofgeek.com/movies/how-marvel-went-from-bankruptcy-to-billions/ https://www.hollywoodreporter.com/heat-vision/marvels-civil-war-why-kevin-820147 https://variety.com/2019/biz/news/kevin-feige-ike-perlmutter-marvel-disney-1203377802/ https://en.wikipedia.org/wiki/Marvel_Cinematic_Universe:_Phase_Four https://www.indiewire.com/2019/12/tom-holland-drunk-phone-call-saved-spider-man-mcu-exit-1202194520/ #MCU #MarvelStudios #Marvel #BarChartRace #DataVisualization #DataRanking #DataComparison #AnimatedStats Related Titles: ranking mcu movies by profit marvel movie rankings Which MCU movie made the most money Marvel Movies Box Office: How Much Has Each Film Made highest grossing marvel movies worldwide marvel movies box office marvel movies production budget what is the most profitable marvel movie what marvel movie made the least money

Watch as this data visualization ranks the highest and lowest COVID death rate (per 100,000 people) for all U.S. States from May 2020 through August 2021. The graph at the bottom shows the death rate (per 100,000 people) by region: South, West, Northeast, and Midwest. The 2019 Census population estimates were used to calculate the per capita rates by state and region. Rankings as of August 2021: 1. New Jersey COVID Death Rate per capita: 301 2. New York COVID Death Rate per capita: 277 3. Mississippi COVID Death Rate per capita: 269 4. Massachusetts COVID Death Rate per capita: 262 5. Rhode Island COVID Death Rate per capita: 260 6. Louisiana COVID Death Rate per capita: 256 7. Arizona COVID Death Rate per capita: 256 8. Alabama COVID Death Rate per capita: 245 9. Connecticut COVID Death Rate per capita: 234 10. South Dakota COVID Death Rate per capita: 233 11. Arkansas COVID Death Rate per capita: 221 12. Pennsylvania COVID Death Rate per capita: 219 13. Michigan COVID Death Rate per capita: 214 14. New Mexico COVID Death Rate per capita: 213 15. Indiana COVID Death Rate per capita: 211 16. Georgia COVID Death Rate per capita: 209 17. Illinois COVID Death Rate per capita: 207 18. Nevada COVID Death Rate per capita: 204 19. North Dakota COVID Death Rate per capita: 204 20. Florida COVID Death Rate per capita: 199 21. South Carolina COVID Death Rate per capita: 199 22. Iowa COVID Death Rate per capita: 197 23. Oklahoma COVID Death Rate per capita: 196 24. Tennessee COVID Death Rate per capita: 193 25. Delaware COVID Death Rate per capita: 190 26. Kansas COVID Death Rate per capita: 189 27. Texas COVID Death Rate per capita: 186 28. Ohio COVID Death Rate per capita: 177 29. Kentucky COVID Death Rate per capita: 168 30. West Virginia COVID Death Rate per capita: 168 31. Missouri COVID Death Rate per capita: 166 32. Maryland COVID Death Rate per capita: 164 33. Montana COVID Death Rate per capita: 164 34. California COVID Death Rate per capita: 164 35. Wisconsin COVID Death Rate per capita: 144 36. Wyoming COVID Death Rate per capita: 140 37. Minnesota COVID Death Rate per capita: 139 38. Virginia COVID Death Rate per capita: 137 39. North Carolina COVID Death Rate per capita: 134 40. Idaho COVID Death Rate per capita: 128 41. Colorado COVID Death Rate per capita: 123 42. Nebraska COVID Death Rate per capita: 119 43. New Hampshire COVID Death Rate per capita: 103 44. Washington COVID Death Rate per capita: 83 45. Utah COVID Death Rate per capita: 80 46. Oregon COVID Death Rate per capita: 71 47. Maine COVID Death Rate per capita: 69 48. Alaska COVID Death Rate per capita: 55 49. Vermont COVID Death Rate per capita: 42 50. Hawaii COVID Death Rate per capita: 40 #COVID #AnimatedStats #DataRanking #DataComparison #DataVisualization Data: CDC | https://data.cdc.gov/

Watch Simone Biles (WAG: women's artistic gymnastics) versus Kenzo Shirai (MAG: men's artistic gymnastics) as they perform a triple double (the twisties! :) on the floor exercise (including in slow motion). Simone Biles is an American artistic gymnast. With a combined total of 31 Olympic and World Championship medals, Biles is the most decorated American gymnast and is considered one of the greatest and most dominant gymnasts of all time. Simone Biles is the first woman in history to perform a triple-double -- a double salto backward tuck with 3/1 twist -- during a floor routine. It was named the Biles II. Simone Biles is knows at the GOAT -- Great of All Time! On July 28, 2021, Biles withdrew from the finals of the individual all-around competition, again citing mental health concerns. Following further medical evaluation on July 30, she also withdrew from the vault and uneven bars finals, both scheduled for the first day of individual event finals. Biles said that she experienced "the twisties", a psychological phenomenon causing a gymnast to lose air awareness while performing twisting elements. Kenzō Shirai is a Japanese former artistic gymnast with achievements including notably securing the team gold and individual bronze on vault at the 2016 Summer Olympics in Rio de Janeiro. Although later an all-around athlete, he is still a floor and vault specialist, who excels in hard-twisting skills/combinations. This is my small tribute to Simone Biles in anticipation of the upcoming Olympics 2020/2021 in Tokyo. GO TEAM USA! #SimoneBiles #Olympics #Tokyo2021 #Gymnastics #WAG #MAG

This data visualization ranks total (cumulative) deaths by terrorist group from 1970 through 2021. The map insert tracks international terrorist attacks by month for the given year; the size and scale of the dots are determined by the estimated death count. The graph at the bottom tracks the cumulative number of global terrorist attacks broken down by the following regions: MENA (Middle East and North Africa), Americas (North America and South America), Europe, Asia, and Oceania. Highlights: 00:00 Irish Republican Army (IRA) 00:15 Protestant extremists 00:25 Ulster Volunteer Force (UVF) 00:35 Mujahedin-e Khalq (MEK) in Iran 00:47 Farabundo Marti National Liberation Front (FMLN) in El Salvador 01:02 Nicaraguan Democratic Force (FDN) 01:13 Shining Path in Peru (SL) 01:26 New People's Army (NPA) in Philippines 01:41 Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka 01:51 Hutu extremists 02:04 Al-qaida (al-qaeda) 02:23 Kurdistan Workers' Party (PKK) 02:35 Revolutionary Armed Forces of Columbia (FARC) 02:50 Taliban 03:00 Islamic State (ISIS / ISIL) 03:16 9/11 footage Top Terrorists Group by Cumulative Total Deaths: Taliban 45,210 Islamic State (ISIS/ISIL) 44,949 Boko Haram 23,637 Al-Qaida 13,060 Shining Path (SL) 11,608 Al-Shabaab 11,372 Liberation Tigers of Tamil Eelam (LTTE) 10,778 Farabundo Marti National Liberation Front (FMLN) 8,065 Nicaraguan Democratic Force (FDN) 6,662 Tehrik-i-Taliban Pakistan (TTP) 6,311 Revolutionary Armed Forces of Colombia (FARC) 5,661 Houthi extremists (Ansar Allah) 5,561 Kurdistan Workers' Party (PKK) 5,291 New People's Army (NPA) 4,728 Fulani extremists 4,685 Hutu extremists 4,102 Khorasan Chapter of the Islamic State 3,564 Lord's Resistance Army (LRA) 3,123 Al-Nusrah Front 2,977 Sikh Extremists 2,813 Nat'l Union for Total Independence of Angola (UNITA) 2,726 Mozambique National Resistance Movement (MNR) 2,560 Communist Party of India - Maoist (CPI-Maoist) 2,488 Muslim extremists 1,832 Sudan People's Liberation Movement in Opposition (SPLM-IO) 1,826 GTD (*) Definition of Terrorism and Inclusion Criteria: The GTD defines a terrorist attack as the threatened or actual use of illegal force and violence by a non-state actor to attain a political, economic, religious, or social goal through fear, coercion, or intimidation. In practice this means in order to consider an incident for inclusion in the GTD, all three of the following attributes must be present:  The incident must be intentional – the result of a conscious calculation on the part of a perpetrator.  The incident must entail some level of violence or immediate threat of violence -including property violence, as well as violence against people.  The perpetrators of the incidents must be sub-national actors. The database does not include acts of state terrorism. In addition, at least two of the following three criteria must be present for an incident to be included in the GTD:  Criterion 1: The act must be aimed at attaining a political, economic, religious, or social goal. In terms of economic goals, the exclusive pursuit of profit does not satisfy this criterion. It must involve the pursuit of more profound, systemic economic change.  Criterion 2: There must be evidence of an intention to coerce, intimidate, or convey some other message to a larger audience (or audiences) than the immediate victims. It is the act taken as a totality that is considered, irrespective if every individual involved in carrying out the act was aware of this intention. As long as any of the planners or decision-makers behind the attack intended to coerce, intimidate or publicize, the intentionality criterion is met.  Criterion 3: The action must be outside the context of legitimate warfare activities. That is, the act must be outside the parameters permitted by international humanitarian law, insofar as it targets non-combatants 📊 Data: (*) Global Terrorism Database | https://www.start.umd.edu/gtd/ 🎵 Tracks: https://www.youtube.com/watch?v=lpEL1Nt6rJk&t=40s #Terrorism #Terrorists #AnimatedStats #DataRanking #DataComparison #DataVisualization DISCLAIMER: This graph is based on the most current available public data. It will be updated when there is new data available.

Why does the history of urbanization matter? Whether it is for timely response to catastrophes, the delivery of disaster relief, assessing human impacts on the environment, or estimating populations vulnerable to hazards, it is essential to know where people and cities are geographically distributed. Additionally, the ability to geolocate the size and location of human populations OVER TIME helps to understand the evolving characteristics of the human species, especially human interactions with the environment. Now that humans are predominantly an urban species, new questions arise as to how urban populations have changed over time. Where were cities of the past? What were the sizes of these urban populations and how were large and small cities geographically distributed? Many scholars question the sustainability of contemporary urbanization, arguing that the rates and scales of urbanization today present a new relationship between urbanization and the biosphere. However, in order to contextualize the current period of the urban demographic process and understand its potential future trajectories, data is needed on long-term historical urbanization trends and patterns. As the authors acknowledge, the data has a number of limitations and is “far from comprehensive.” However, to date there has been no comprehensive record of spatially explicit, historic, city-level population data at the global scale, so this project represents an impressive step forward in understanding how people and cities have historically interacted. In a word: EPIC. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos Chapters: 00:00 Sumerian Civilization Cuneiform Writing Developed 00:10 Bronze Age begins First Dynasty of Egypt 00:20 Wheeled Vehicles Rule of Gilgamesh, King of Uruk 00:30 Great Pyramid of Giza Rise of Indus Valley civilization 00:40 Akkadians establish first empire Egyptian Middle Kingdom Middle Minoan Culture 00:50 Iron Age in India Shang Dynasty Hittite Empire 01:00 Olmec Civilization Eastern Woodlands 01:10 Trojan War Kingdom of Israel and Judah Assyrian Empire 01:20 Olmecs of Mesoamerica Cyrus the Great, Persian Empire Confucius 01:30 Olmec culture ends Carthage Empire Alexander the Great 01:40 Great Wall of China Julius Caesar 01:50 Spice Trade Roman Empire peak Mayan Empire 02:00 Golden Age of India Roman Empire splits Western Roman Empire falls 02:10 Tang Dynasty 02:20 Muslim conquests Spread of Islam 02:30 Umayyad Caliphate 02:40 Charlemagne crowned 02:50 Viking conquests Dark Ages 03:00 Song Dynasty 03:10 Gunpowder 03:20 Kingdom of Nri 03:33 First Crusade, Second Crusade, Third Crusade 04:09 Genghis Khan, Mongol invasions 04:31 The (Spanish) Inquisition 04:44 Mali Empire 05:11 Aztec and Inca civilizations 05:39 Age of Discovery / Exploration 06:04 Ottoman Turks, Constantinople 06:21 Christopher Columbus arrives in Americas 06:41 Atlantic slave trade 07:01 Ottoman Empire 07:18 Spanish Armada defeated 07:41 Dutch found New Amsterdam 07:58 Scientific Revolution 08:12 Black Death / Second Plague 08:27 Second Agricultural Revolution 08:40 Russian Empire 08:57 Industrial Revolution begins 09:13 Flush toilet 09:26 Smallpox vaccine 09:38 Napoleon defeated at Waterloo 09:45 Passenger railroad 09:59 California Gold Rush 10:17 Thomas Edison, light bulb 10:31 Oil Boom; Spindletop, TX 10:39 Discovery of nitrogen-based fertilizer Mass Media is born 10:49 World War II Decolonization of Africa 10:59 Information Age World Trade Organization (WTO) 11:06 China joins WTO 📊 Data: https://urbanization.yale.edu/sites/default/files/sdata201634.pdf Inspired by: History of Urbanization: https://www.youtube.com/watch?v=yKJYXujJ7sU Human Population Through Time: https://www.youtube.com/watch?v=PUwmA3Q0_OE The History of the World: Every Year: https://www.youtube.com/watch?v=-6Wu0Q7x5D0 World Population: https://www.youtube.com/watch?v=khFjdmp9sZk #WorldPopulation #Maps #Urbanization #DataVisualization #DataRanking #DataComparison #Timelapse #AnimatedStats Tracks 🎵: Militaire Electronic by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100442 Artist: http://incompetech.com/

Watch as this data visualization and bar chart race ranks the top steel exporters by country, categorized by the following regions: Asia, North America, South America, MENA (Middle East and North Africa), Africa, Oceania, and Europe. Steel is an alloy made up of iron with typically a few tenths of a percent of carbon to improve its strength and fracture resistance compared to iron. Many other elements may be present or added. Stainless steels that are corrosion- and oxidation-resistant need typically an additional 11% chromium. Because of its high tensile strength and low cost, steel is used in buildings, infrastructure, tools, ships, trains, cars, machines, electrical appliances, and weapons. Iron is the base metal of steel. Depending on the temperature, it can take two crystalline forms (allotropic forms): body-centered cubic and face-centered cubic. The interaction of the allotropes of iron with the alloying elements, primarily carbon, gives steel and cast iron their range of unique properties. In 2019, total world crude steel production was 1869.9 million tonnes (Mt). The biggest steel producing country is currently China, which accounted for 53.3% of world steel production in 2019. In 2020, China became the first country to produce over one billion tons of steel. In 2008, 2009, 2015 and 2016 output fell in the majority of steel-producing countries as a result of the global recession. In 2010 and 2017, it started to rise again. Crude steel production contracted in all regions in 2019 except in Asia and the Middle East. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos Chapters: 00:00 Origins of steel 00:18 Steel is more elastic than rubber 00:36 The Order of the Engineer 00:54 Steel is 100% recyclable 01:12 Steel roofs 01:30 Scrapped cars recycling 01:52 Steel production statistics 02:11 Steel skyscrapers history 02:29 Steel industry volume 02:47 Steel and carbon content 03:05 Terminator 2 clip! 📊 Data: World Steel Association: https://www.worldsteel.org https://monroeengineering.com/blog/7-facts-about-steel-you-need-to-know/ https://tampasteel.com/steel-facts/ https://www.kaempfandharris.com/industry-news/20-facts-about-steel-that-you-probably-didnt-know World's Largest Steel Producing Countries #Steel #SteelExporters #AnimatedStats #DataRanking #DataComparison #DataVisualization Animated Statistics, Statistics, Stats, Racing Bar Chart, Charts, Ranking, Rankings, Comparison

Watch as these animated stats and bar chart race ranks the highest inflation rates (consumer prices, annual %) by country, categorized by the following regions: Asia, North America, South America, MENA (Middle East and North Africa), Africa, Oceania, and Europe. In economics, inflation (or less frequently, price inflation) is a general rise in the price level of an economy over a period of time. When the general price level rises, each unit of currency buys fewer goods and services; consequently, inflation reflects a reduction in the purchasing power per unit of money – a loss of real value in the medium of exchange and unit of account within the economy. The common measure of inflation is the inflation rate, the annualized percentage change in a general price index, usually the consumer price index, over time. Hyperinflation is very high and typically accelerating inflation. It quickly erodes the real value of the local currency, as the prices of all goods increase. This causes people to minimize their holdings in that currency as they usually switch to more stable foreign currencies, in recent history often the US dollar. It is often associated with some stress to the government budget, such as wars or their aftermath, sociopolitical upheavals, a collapse in aggregate supply or one in export prices, or other crises that make it difficult for the government to collect tax revenue. A sharp decrease in real tax revenue coupled with a strong need to maintain government spending, together with an inability or unwillingness to borrow, can lead a country into hyperinflation. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos Chapters: 00:00 Inflation defined 00:24 Inflation during Bubonic Plague 00:48 War and inflation 01:12 Germany's Weimar Republic Hyperinflation 01:36 Hyperinflation in Hungary 02:00 Inflation cost comparisons; US Civil War 02:24 Types of inflation 02:48 Zimbabwe's hyperinflation 03:11 Cost of Apple 1 computer today 03:36 President Ford's inflation campaign 📊 Data: World Bank | https://data.worldbank.org International Monetary Fund, International Financial Statistics and data files. #Inflation #HyperInflation #BarChartRace #DataVisualization #DataRanking #DataComparison #AnimatedStats

This data visualization and animated map tracks international terrorist attacks from the 3 prominent terrorist organizations: Taliban, Al-Qaida, Islamic State from 1998 through 2021. The size and scale of the dots are determined by the estimated death toll of each terrorist attack. The graph at the bottom tracks the cumulative number of terrorist attacks for all three terrorist organizations. GTD (*) Definition of Terrorism and Inclusion Criteria The GTD defines a terrorist attack as the threatened or actual use of illegal force and violence by a non-state actor to attain a political, economic, religious, or social goal through fear, coercion, or intimidation. In practice this means in order to consider an incident for inclusion in the GTD, all three of the following attributes must be present:  The incident must be intentional – the result of a conscious calculation on the part of a perpetrator.  The incident must entail some level of violence or immediate threat of violence -including property violence, as well as violence against people.  The perpetrators of the incidents must be sub-national actors. The database does not include acts of state terrorism. In addition, at least two of the following three criteria must be present for an incident to be included in the GTD:  Criterion 1: The act must be aimed at attaining a political, economic, religious, or social goal. In terms of economic goals, the exclusive pursuit of profit does not satisfy this criterion. It must involve the pursuit of more profound, systemic economic change.  Criterion 2: There must be evidence of an intention to coerce, intimidate, or convey some other message to a larger audience (or audiences) than the immediate victims. It is the act taken as a totality that is considered, irrespective if every individual involved in carrying out the act was aware of this intention. As long as any of the planners or decision-makers behind the attack intended to coerce, intimidate or publicize, the intentionality criterion is met.  Criterion 3: The action must be outside the context of legitimate warfare activities. That is, the act must be outside the parameters permitted by international humanitarian law, insofar as it targets non-combatants The Taliban, which refers to itself as the Islamic Emirate of Afghanistan (IEA), is a Deobandi Islamist movement and military organization in Afghanistan, currently waging war (an insurgency, or jihad) within the country. Since 2016, the Taliban's leader has been Mawlawi Hibatullah Akhundzada. In 2021, the Taliban was estimated to have 200,000 fighters. In mid 2021, the Taliban led a major offensive in Afghanistan during the withdrawal of US troops from the country, which gave them control of over half of Afghanistan's 421 districts as of July 23, 2021 By mid-August 2021, the Taliban controlled every major city in Afghanistan; following the near seizure of the capital Kabul, the Taliban occupied the Presidential Palace after the incumbent President Ashraf Ghani fled Afghanistan to Tajikistan on 15 August 2021. Al-Qaeda, (alternatively spelled al-Qaida and al-Qa'ida) is a militant Sunni Islamist multi-national organization, widely regarded as terrorist, founded in 1988 by Osama bin Laden, Abdullah Azzam, and several other Arab volunteers during the Soviet–Afghan War. The Islamic State of Iraq and the Levant, also known as the Islamic State of Iraq and Syria, officially known as the Islamic State (IS) and also known by its Arabic acronym Daesh, is a militant group and former unrecognized proto-state that follows a Salafi jihadist doctrine. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos Chapters: 00:00 Prominent terrorist organizations: Taliban, al-Qaida, Islamic State 00:23 Origin of al-Qaida 00:42 Origin of the Taliban 01:00 Taliban and Sharia Law 01:18 TTP as largest Taliban group 01:36 Origin of the Islamic State (IS, ISIS, ISIL, Daesh) 01:59 Taliban and Islamic State comparison 02:18 Taliban and al-Qaeda comparison 02:36 US forces withdrawal from Afghanistan 02:53 Taliban ideology and views on women 03:15 "Happy" Muslim women! 📊 Data: (*) Global Terrorism Database | https://www.start.umd.edu/gtd/ 📝 Publications: https://www.forces.net/evergreen/isla... 🎵 Tracks: https://www.youtube.com/watch?v=TqhNw... https://www.youtube.com/watch?v=nsmFJ... #Taliban #Afghanistan #AnimatedStats #DataRanking #DataComparison #DataVisualization

This data visualization and bar chart race breaks down Christianity among the following demographics and populations: Europe, Africa, North America, Latin America, Asia, and Oceania. The timeline starts in 1900 and predicts the demographic makeup of Christianity through 2100. Watch the full version here: https://youtu.be/RJjzCJG-aEo 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos 📊 Data: https://archive.gordonconwell.edu/ockenga/research/documents/TrendsinInternationalReligiousDemography.pdf http://christianityinview.com/religion-statistics.html #Christianity #Shorts #BarChartRace #DataVisualization #DataRanking #DataComparison #AnimatedStats

This data visualization and bar chart race ranks all Godzilla movies by audience review ratings on Rotten Tomatoes. The Godzilla (Japanese: ゴジラ, Gojira) franchise is a Japanese media franchise created and owned by Toho, centered on the fictional kaiju character Godzilla. It is the longest-running film franchise, having been in ongoing production from 1954, with several hiatuses of varying lengths. The film franchise consists of 36 films; 32 produced by Toho, and four by the American studios TriStar Pictures and Legendary Pictures. The popularity of the films has led to the franchise expanding to other media, such as television, music, literature and video games. Godzilla has become one of the most recognizable symbols in Japanese pop culture worldwide, remains a well-known facet of Japanese films and was one of the first examples of the popular kaiju and tokusatsu subgenres in Japanese entertainment. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos 📊 Data: https://www.imdb.com/list/ls026689068/ https://editorial.rottentomatoes.com/guide/all-godzilla-movies-ranked/ #Godzilla #Shorts #DataVisualization #DataRanking #DataComparison #Movies #AnimatedStats Full Rankings (Title/Year): #36 | Godzilla's Revenge (1969) / All Monsters Attack #35 | Godzilla (1998) #34 | Godzilla: The Planet Eater (2018) #33 | Son of Godzilla (1967) #32 | Godzilla vs. Megalon (1973) #31 | Godzilla Raids Again (1955) #30 | Godzilla: Edge of Battle (2018) #29 | Godzilla vs Sea Monster (1966) / Ebirah, Horror of the Deep #28 | Godzilla: Planet of Monsters (2017) #27 | Godzilla vs. Gigan (1972) #26 | Godzilla vs. Megaguirus (2000) #25 | Godzilla vs The Smog Monster (1971) / Godzilla vs. Hedorah #24 | King Kong vs. Godzilla (1963) #23 | Godzilla 2000 (1999) #22 | Ghidorah, the Three-Headed Monster (1964) #21 | Terror of MechaGodzilla (1975) #20 | Godzilla & Mothra: The Battle for Earth (1992) #19 | Godzilla vs. MechaGodzilla (1974) #18 | Monster Zero (1965) / Invasion of Astro-Monster #17 | Godzilla vs. King Ghidorah (1991) #16 | Godzilla (1985) #15 | Godzilla (2014) #14 | Mothra vs. Godzilla (1964) #13 | Destroy All Monsters (1968) #12 | Godzilla Against MechaGodzilla (2002) #11 | Godzilla: Final Wars (2004) #10 | Godzilla vs. MechaGodzilla II (1993) #9 | Godzilla vs. Biollante (1989) #8 | Godzilla: Tokyo S.O.S. (2003) #7 | Shin Godzilla (2016) #6 | Godzilla, Mothra and King Ghidorah: Giant Monsters All-Out Attack (2001) #5 | Godzilla vs. SpaceGodzilla (1994) #4 | Godzilla: King of the Monsters (2019) #3 | Godzilla / Gojira (1954) #2 | Godzilla vs. Kong (2021) #1 | Godzilla vs. Destoroyah (1995)

Olympic medal counts don’t really show you which country was the most successful since countries with large populations have a huge advantage. There’s a better way to measure a nation’s Olympic success: per capita (medals per one million people) Olympic Medal by country. This data visualization and bar chart race ranks each country's per capita medal count by year from 1896 to 2016. The Gold, Silver and Bronze medals are added to get the total medals. This video only takes into account the Summer Olympics. 👉 Follow me on YouTube: https://www.youtube.com/c/DataNinjah/videos Chapters: 00:00 Naked athletes in ancient Olympics 00:24 1500 year hiatus for Olympic games 00:42 Why do Olympians bite their medals? 01:00 What do Olympic rings stand for? 01:18 The first Olympic drug suspension 01:36 The Olympic Torch Relay is not an ancient tradition 01:58 The Olympic flame is always lit 02:16 Olympian who ran a marathon without shoes 02:34 Olympic tiebreak 02:53 Figure skating was initially part of the Summer Olympics 03:13 Lighting the Olympic Cauldron in Rio de Janeiro in 2016! #Olympics #AnimatedStats #DataRanking #DataComparison #DataVisualization