The question arises because we’re having Climate Change and not Global Warming. Only 6 weather stations in the world have a statistically significant negative temperature trend since 2000. Most of them are located around the equator, one is in Antarctica. There are 391 weather stations that have at least 5 full years of data since 2000 and which have a significant trend (p-value is less than 5%). In 385 of those stations, the temperature is rising.
When: 2000 January – 2020 December. Where: Weather stations that have at least 5 full years of data during the period in question and have a significant regression coefficient (p-value < 5%). Source: Global Historical Climatology Network-Monthly (GHCN-M) temperature dataset https://www.ncdc.noaa.gov/ghcn-monthly
There are 9 countries in the Arabian peninsula, some of them are considered rich while others suffer from poverty and never ending wars. If the Arabian peninsula were one country it would be the 11th largest economy in the world.
What: GDP in constant 2010 USD When: 2019 Where: All the countries in the world. “Others” were calculated by subtracting the shown countries from the total world GDP estimated by Worldbank. Countries of the Arabian peninsula are Saudi Arabia, United Arab Emirates, Iraq, Qatar, Kuwait, Oman, Bahrain, Jordan, Yemen. Source: Worldbank database
ASEAN is an economic union of Southeast Asian countries. From 1999 to 2019 it experienced considerable growth becoming the 5th largest economy in the world if we count the EU as one unit as well. Indonesia is the biggest country in the union, but all of them contribute to growth, most growing their GDP by more than 5% a year during 1999-2019 with the only exception being Brunei.
For comparison: the annual average growth in the EU was 1,6% a year and in China, it was 9,0% during the same period. The current composition of the EU was used for the calculations.
What: GDP in constant 2010 USD When: 1999-2019 Where: All the countries in the world. “Others” were calculated by subtracting the shown countries from the total world GDP estimated by Worldbank. Source: Worldbank database
Africa is made up of more than 50 countries, most of them are poor compared to the rest of the world. If Africa were one country it would be the 8th largest economy in the world.
This chart is made without any numbers intentionally, they’d distract from the message. The ranking of the countries in the donut chart is “Algeria first”.
What: GDP in constant 2010 USD When: 2019 Where: All the countries in the world. “Others” were calculated by subtracting the shown countries from the total world GDP estimated by Worldbank. Source: Worldbank database
If you’re working in the financial department of a company or just dealing with financial data, you may be familiar with the Previous-Budget-Actual bar chart. It’s frequently used, occupying critical presentation and dashboard space, but sadly it lacks data density, contributing only three observations.
Managers rarely have time to thoroughly explore financial presentations, that is why you need to make as much information available as quickly as possible — an easily readable data-dense visualization serves this purpose well. In my pursuit to make denser bar charts, I found five techniques that I will share here:
I tracked down the time when I start my working day, what percentage of weekly goals I do achieve and whether I do many other daily routine things (meditation, exercise, proper meal, not checking social media after 6 p.m. etc.) which I aggregated into “Level of discipline”.
During the time of self-observation I began to wake up and start working earlier, I started to achieve more goals, but this “discipline” thing did not improve. I guess that trying to do many “useful” things during the day is not as useful and productive as it may seem.
What: Weekly average time of starting to work, the proportion of weekly goals achieved, and “level of discipline” measured in points. Moving averages are calculated using 5-week intervals. There are omissions in the data, as one may see. When: 38 weeks during 2019-2020 Source: self-observation
Every drop in GDP is followed by a decline in real estate prices or at least a significant slow down in growth with the most obvious case at the beginning of ’80s.
What: Moving average of quarterly USA GDP growth (GDP in billions of chained 2012 dollars, seasonally adjusted) and moving average of quarterly median sales price of houses sold in the United States. When: 1964Q1 – 2020Q1 Where: USA only. Source: FRED
Often when the market turns red there is at least a dip in GDP growth. However, there are cases when this does not happen.
What: Moving average of quarterly S&P500 index growth and moving average of quarterly USA GDP growth (GDP in billions of chained 2012 dollars, seasonally adjusted) When: 1948Q1 – 2020Q1 Where: USA only, because S&P is populated by mostly American companies. Source: Yahoo Finance for S&P500 and FRED for GDP.
Many people still have doubts about whether the lower emissions of driving an electric car outweighs the additional impact on the environment caused by manufacturing the batteries.
Two studies (the latter is more trustworthy than the former) show that electric cars do help to reduce the CO2 emission. But how much – it depends. If the batteries are produced in a country where the industry is polluting more (China), reductions will be lower. If the car is driven in a country where electricity is produced by burning things (like Estonia or Poland) the reductions will be lower or even negative. A special case is Japan, where cars are so fuel-efficient, that electric cars even raise emissions.
So, YES, electric cars are more often better than not.
What: Top = Lifetime emissions of cars in tonnes of CO2. Bottom = Lifetime emissions of cars in grams of CO2 per 1 kilometer. When: Top = Estimate for 2020, Bottom = Estimate for 2030 with “current technological trajectory” scenario. Where: Top = EU countries, Bottom = selected countries of the world. Source: Top = European Federation for Transport and Environment, Bottom = Knobloch, F., Hanssen, S., Lam, A. et al. Net emission reductions from electric cars and heat pumps in 59 world regions over time. Nat Sustain (2020). https://doi.org/10.1038/s41893-020-0488-7
We spend more and more money on movies even in times of television and the internet. So, not a big surprise, that more and more movies are being made.
Median rating of all movies in the IMDB database is declining. Is it a sign of movies getting worse? No, its a sign of more movies being made, when this art is accessible to not only exceptional talents but mediocre talents as well. Anyway, who watches 2000 movies a year? Let’s become picky.
Let’s pick the most popular 200 movies each year and calculate their median. Now there is a stable trend – median popular movie usually has a rating of just around 6.4. (Movie popularity is measured in the number of ratings on IMDB). That’s good.
Now let’s take 200 top-rated movies each year with at least 25 000 ratings. A sharp decline becomes visible! And before the 80s not many such movies existed at all. So, if you like only top-rated popular movies, you might experience deterioration in their quality. Sequels of Transformers are getting worse and worse.
However there are great lesser-known movies, especially those made in non-English speaking countries, so they get less attention and therefore fewer ratings. I’d subjectively say that a good lesser-known movie has at least 4000 ratings. If we pick 200 best such movies, we get a different view – often a median movie will have a rating higher than 7, and no permanent downward trend is present. Great!
What: Movie earnings in USD billion adjusted for inflation. The number of movies – with more than 100, 4000 and 25 000 ratings. IMDB movie ratings indicate the median rating calculated for every year, and a trend line fitted using a generalized additive model. All movies – those which have at least 100 ratings Most popular movies – 200 most rated but having at least 100 ratings (because there were times when less than 200 movies were made). Top-rated popular movies – 200 top-rated movies from those having at least 25 000 ratings. Top-rated movies for cinephiles – 200 top-rated movies from those having at least 4000 ratings. If less than 40 movies left remaining after filtering – no rating calculated for that year. When: 1968 – 2019 Where: Movie earnings represent earnings around the globe. Source: IMDB for ratings and number of movies the-numbers.com for movie earnings. WB and IMF for inflation used to adjust earnings.
The good news is that we are really reducing poverty. Fewer and fewer people live for 1,90 dollars a day, fewer and fewer experience hunger, fewer and fewer experience struggle to get water.
The sad news is the realization that behind nice world trends there are still countries where one-third of the total population are poor, experience hunger and struggle to get water. And even worse – while over 40% of people in low-income countries don’t have access to BASIC drinking water service, 73% don’t have access to SAFE drinking water service.
But we’re reducing. There is still much to achieve and let’s hope for the best.
What: Very poor people = Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population), Hungry people = Prevalence of undernourishment (% of population), People not having water = People not using at least basic drinking water services (% of population) When: Improvements by income class are shown between 2000 and 2017 with possible deviations a year or two for different category combinations. Where: Total world + the world divided into 4 income groups by the World Bank. Source: WB
Mostly in Africa. It was quite difficult to find the exact diseases behind particular spikes of deaths, but some of them like Ebola got a lot of attention. Surprising enough, but it seems that in 2017 people suddenly stopped dying from diseases there.
Sadly I could not find what caused so many deaths in China in 1984. Just imagine the results I got when I searched for “china 1994 epidemics” – the overwhelming majority of articles about the current outbreak of coronavirus with some articles claiming that Chinese government is the one from Orwell’s novel.
What: Deaths due to epidemics When: 1980-2017 Where: 194 countries and regions Source: Institute for Health Metrics and Evaluation