## Scores

### Ranks

| Year  | Country       | Rank |
|-------|---------------|------|
| 2016  | Sweden        | 658  |
| 2016  | Finland       | 9    |
| 2016  | Israel        | 276  |
| 2016  | Italy         | 518  |
| 2016  | Norway        | 186  |
| 2016  | Ukraine       | 595  |
| 2016  | Belgium       | 544  |
| 2016  | Estonia       | 47   |
| 2016  | Czechia       | 95   |
| 2016  | Cyprus        | 248  |
| 2016  | Croatia       | 201  |
| 2016  | Armenia       | 328  |
| 2016  | Austria       | 310  |
| 2016  | France        | 425  |
| 2016  | Spain         | 94   |
| 2016  | Moldova       | 414  |
| 2016  | Poland        | 293  |
| 2016  | Switzerland   | -    |
| 2016  | Slovenia      | 12   |
| 2016  | Albania       | 36   |
| 2016  | Portugal      | 766  |
| 2016  | Serbia        | 137  |
| 2016  | United Kingdom | -   |
| 2016  | Germany       | -    |
| 2016  | Greece        | 77   |
| 2016  | Netherlands   | -    |
| 2016  | Azerbaijan     | -   |
| 2016  | Romania       | 282  |
| 2016  | Iceland       | 0    |
| 2016  | Malta         | 153  |
| 2016  | Russia        | 491  |
| 2016  | Bulgaria      | 954  |
| 2016  | San Marino    | 0    |
| 2016  | North Macedonia| -   |
| 2016  | Denmark       | -    |
| 2016  | Belarus       | 83   |
| 2016  | Ireland       | 26   |
| 2016  | Hungary       | 326  |
| 2016  | Latvia        | 132  |
| 2016  | Georgia       | 104  |

## Replay

A racing line chart showing the positions of each driver on every lap in the 2024 Chinese Grand Prix F1 race. The top 5 drivers were: M. Verstappen, L. Norris, S. Perez, C. Leclerc and C. Sainz Junior.

### Lap Positions

| Lap | M. Verstappen | L. Norris | O. Piastri | C. Leclerc | L. Stroll | E. Ocon | P. Gasly | N. Hulkenberg | L. Hamilton | L. Sargeant | Z. Guanyu |
|-----|---------------|-----------|------------|------------|-----------|---------|----------|---------------|-------------|--------------|-----------|
| 1   | 1             | 3         | 5          | 7          | 9         | 11      | 13       | 15            | 16          | 18           | 20        |

## Replay

Line chart race showing the highest average temperatures per month in Rio De Janeiro, Palermo, Tokyo, Edinburgh, Oslo and Moscow.

The chart includes dynamic X and Y axes, showing a more detailed view of the temperature differences across cities over a given period of time.

### Monthly Temperatures

| Month    | Rio De Janeiro | Palermo | Tokyo | Edinburgh | Oslo | Moscow |
|----------|----------------|---------|-------|-----------|------|--------|
| January  | 30°C           | 4°C     | 2°C   | 0°C       | 6°C  | -2°C   |
| February | 28°C           | 4°C     | 4°C   | 1°C       | 7°C  | -1°C   |
| March    | 27°C           | 12°C    | 7°C   | 4°C       | 9°C  | 0°C    |
| April    | 26°C           | 15°C    | 10°C  | 8°C       | 10°C | 2°C    |
| May      | 25°C           | 18°C    | 12°C  | 11°C      | 9°C  | 3°C    |
| June     | 24°C           | 20°C    | 15°C  | 12°C      | 11°C | 5°C    |
| July     | 22°C           | 25°C    | 17°C  | 13°C      | 12°C | 7°C    |
| August   | 23°C           | 29°C    | 19°C  | 14°C      | 13°C | 8°C    |
| September| 24°C           | 23°C    | 18°C  | 13°C      | 12°C | 6°C    |
| October  | 25°C           | 20°C    | 15°C  | 10°C      | 11°C | 4°C    |
| November | 26°C           | 16°C    | 10°C  | 7°C       | 9°C  | 1°C    |
| December | 27°C           | 10°C    | 5°C   | 3°C       | 6°C  | -2°C   |

## Replay

A line chart race representing the percentage of internet users in the world's most populated countries. Japan and the United States stand at the top.

### Percentage of Internet Users

| Year | Country       | Percentage |
|------|---------------|------------|
| 2000 | US            | 59.7%      |
| 2000 | Japan         | 47.2%      |
| 2000 | Mexico        | 12.2%      |
| 2000 | Brazil        | 10.4%      |
| 2000 | Philippines   | 4.5%       |
| 2000 | Russia        | 5.4%       |
| 2000 | China         | 5.1%       |
| 2000 | Indonesia     | 2.2%       |
| 2000 | India         | 1.6%       |
| 2000 | Bangladesh    | 0.1%       |
| 2000 | Nigeria       | 0.4%       |
| 2000 | Pakistan      | 3.3%       |

## Cards Visualization

1. [**How to make a bar chart race without coding**](/content/blog/bar-chart-race/index.html)
2. [**Enhance your data storytelling with animated charts**](/content/blog/animated-charts/index.html)
3. [**Introducing scrollytelling: the future of immersive storytelling**](/content/blog/no-code-scrollytelling/index.html)
4. [**How to choose the right chart type for your data**](/content/blog/choosing-the-right-visualisation/index.html)