Overview

Average Temperature Over Time

C02 Concentration Across Time

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Average Precipitation by Month

Humidity vs Cloud Cover

Conclusion =====================================

Conclusion

This dashboard highlights several key patterns in the climate dataset across four visualizations.

The average temperature over time shows noticeable month-to-month variability, but the smoothed trend suggests a gradual upward movement, indicating a potential warming pattern.

The CO2 concentration plot demonstrates a clear upward trend over time, supported by the linear regression line. This suggests that atmospheric CO2 levels are steadily increasing across the observed period.

The precipitation chart initially contained an extreme outlier that distorted the scale. After removing this value, the monthly averages reveal more consistent seasonal variation, with some months appearing slightly wetter than others.

The humidity vs cloud cover plot shows a relatively weak relationship between the two variables. The slight downward trend suggests that higher humidity does not necessarily correspond to higher cloud cover, indicating that other factors may influence cloud formation.

In addition, the dataset required careful cleaning to ensure accurate analysis. Several variables contained non-numeric entries such as “NA” and “Unknown,” which were first converted to proper missing values and then handled appropriately during analysis (e.g., ignored in calculations using na.rm = TRUE). Certain columns were also explicitly converted to numeric format to allow for correct plotting and statistical summaries. Additionally, an extreme outlier in the precipitation data was removed because it distorted the scale and made seasonal patterns difficult to interpret. These cleaning steps were necessary to improve data quality and ensure that the visualizations reflect meaningful trends rather than errors or inconsistencies in the raw data.

Overall, this dashboard demonstrates how data cleaning and visualization can uncover trends and relationships that are not immediately visible in raw data.