Sanjukth Gowda
2024-10-28
Our journey begins with the Entity Distribution Treemap, which provides a high-level overview of meat-producing animal counts across various countries and regions. Each rectangle in this case stands for an entity, and the size of each one indicates the volume of production. The treemap provides a clear comparison between regions and rapidly reveals top producers with colour changes that enhance visual contrast. Because the most notable contributors are clearly visible, this arrangement is perfect for understanding the differences in production. By showing the worldwide impact of animal farming, this graphic provides context.
Moving on to the time component, this animated line graph illustrates the patterns of production around the world starting in 1961. We can see how production is increasing year after year thanks to the continuous line’s dynamic tracking of changes. We may observe notable expansionary periods in this animation, which are probably impacted by growing global demand and technical improvements. The industry’s growth history is contextualised by this time-series visualisation, which highlights decades of increased production and the effects of modern agriculture.
Next, we delve into the changes over time with an animated pie chart, which displays the proportion of animal production attributed to each entity across decades. Changes in dominance are visible as the chart moves through each decade, with some nations emerging as significant contributors while others continue to produce steadily. This graphic is particularly helpful for observing long-term trends and comprehending the changes in worldwide market shares. It makes complex data easier to understand and makes it simple to identify both existing and up-and-coming production leaders by grouping data by decade.
Lastly, we explore a hierarchical perspective with the Sunburst Chart, which organises animal production data by continent, with each continent further broken down by country. We can delve into particular nations inside each continent thanks to this tiered methodology, which displays contributions at both the regional and entity levels. When showing multi-level data, the sunburst design works well, providing a thorough understanding of how the entities on each continent contribute to the overall sum. The geographic organisation of meat production is depicted by this arrangement, which emphasises the relative importance of each continent and nation within the broader production ecosystem.
Together, these graphics create a coherent story about the world’s meat production. Each chart provides distinct insights into the size and development of the industry, ranging from a worldwide distribution to past growth trends and regional hierarchies. As global production levels continue to rise, the report emphasises the significance of sustainable methods. By offering an interactive experience, stakeholders are encouraged to delve deeply into the data and discover patterns and insights that guide initiatives related to agriculture, food sustainability, and animal welfare.
Food and Agriculture Organization of the United Nations (2023) – with major processing by Our World in Data. “Meat, total - Producing or slaughtered animals (animals) – FAO” [dataset]. Food and Agriculture Organization of the United Nations, “Production: Crops and livestock products” [original data].
Canvas, RMIT. “MyApps Portal.” Instructure.com, 2019, rmit.instructure.com/courses/126390/modules.
Ritchie, Hannah, et al. “Animal Welfare.” Our World in Data, 25 Jan. 2024, ourworldindata.org/animal-welfare#explore-data-on-animal-welfare.
Pubs, R. Google.com, 2024, www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=rpubs.com/&ved=2ahUKEwjPiYzzt7OJAxX8zzgGHd1gHjMQFnoECAgQAQ&usg=AOvVaw3SX0_vh_VXSr-i3L6s0vRC. Accessed 29 Oct. 2024.