This page includes some graphs (timeline bubble charts) showing correlations among selected indicators, for example between the agriculture share of GDP and Employment, ICT skills and mobile ownership and Research and Development variables. The bar above each graph allows you to select the years and see the evolution of the variables/indicators. A timeline bubble chart is particularly useful when you want to quickly understand trends, patterns, or anomalies over time without diving deep into complex analytics. The charts below only include data for Latin American Countries, from 2014 to 2020. If you want to build your own bubble chart, choosing pre-selected indicators from the full dataset used in this dashboard, you can explore the Correlation finder.
The data reflects a moderate relationship between the economic contribution of the agriculture sector and employment within it. However, the correlations between these economic factors and the percentage of graduates in agriculture-related fields are weaker, suggesting that the educational focus on agriculture is not strongly driven by its current economic impact or employment levels.
The data reflects a moderate positive relationship between ICT skills and mobile cellular subscriptions, indicating that increased digital literacy might be associated with higher rates of mobile connectivity. However, the relationships between the gender gap in mobile ownership and both ICT skills and mobile subscriptions are weak, suggesting that the gender gap in mobile ownership may not be strongly related to these other factors.
The data could reveal potential correlations between R&D expenditure and researchers, indicating higher investments support a larger R&D workforce. If bubble sizes grow over time, it could suggest that an increase in R&D activities enhances the ease of starting a business, reflecting a nurturing environment for innovation and entrepreneurship. Conversely, uncorrelated large bubbles might point to other factors influencing business startup ease. The chart's time evolution helps gauge the changing business climate, influenced by R&D investment trends and economic policies.