This dashboard focuses on the trends and impacts of Global Warming.
This is a comprehensive dashboard that shows the greenhouse gas emissions over time, temperature changes in South Korea, global sea level rise in recent years, global energy consumption by source, and the correlations between these trends.
Our goal is to visualize indicators of Global Warming over time, while providing insight to clients interested in environmental health and sustainability.
The interactive Time-Series chart below shows the trend over time for temperatures in South Korea.
South Korea is used here as an example to illustrate the broader global temperature changes. Climate change does not respect boarders. Trends seen in South Korea can provide insight to global phenomena. Data Source: Statista
Date
2024-12-04
Timezone
UTC
The interactive time-series chart shows the trend in global greenhouse gas emissions from 1970 to 2023.
Data Source: Statista
| Year_Group | Average_Emissions | Max_Emissions | Min_Emissions |
|---|---|---|---|
| 1970-1979 | 26.50 | 29.39 | 24.00 |
| 1980-1989 | 29.89 | 32.40 | 28.36 |
| 1990-1999 | 33.79 | 35.29 | 32.69 |
| 2000-2009 | 40.31 | 44.03 | 36.18 |
| 2010-2019 | 48.84 | 51.28 | 45.81 |
| 2020-2023 | 51.46 | 52.96 | 49.33 |
As shown on the graph, global sea level has rose. From 1993 to 2021, sea level has risen nearly 100 millimeters.
Data Source: Kaggle
As is shown on the graph above oil is the largest source of energy around the world. It has seen tremendous growth in the past century and appears that it will not be slowing down soon. The bar graph also shows that fossil fuels are the 3 largest sources of energy production.
Data Source: OurWorldInData
The correlation heatmap highlights the relationships between South Korean temperatures, global sea levels, and global greenhouse gas emissions over the years 1993–2021. The shades of red indicate high correlation among the variables.
Correlations:Emissions and Sea Level: 0.953
Sea Level and Temperature: 0.620
Temperature and Emissions: 0.536
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The dataset used to create this dashboard was downloaded from Yahoo Finance, Kaggle, Statista, and OurWorldInData
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