International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026
p-ISSN: 2395-0072
www.irjet.net
INTERACTIVE CLIMATE DASHBOARD USING TABLEAU Rayasam Nirupama Sanjana1, Vantakula Lakshmi2 1 MCA Student, Gayatri Vidya Parishad College of Engineering(A), Visakhapatnam – 530048, Andhra Pradesh,
India
2 Assistant Professor, Department of Computer Applications, Gayatri Vidya Parishad College of Engineering(A),
Visakhapatnam – 530048, Andhra Pradesh, India ---------------------------------------------------------------------***--------------------------------------------------------------------measurements, precipitation records, atmospheric Abstract - Climate data generated by meteorological pressure readings, and cyclone track information over organizations is growing rapidly due to advances in environmental monitoring systems and satellite observations. long time periods. Although such datasets provide Large volumes of temperature, rainfall, and cyclone datasets valuable insights for climate research, they are often are released every year by agencies such as the India distributed in raw formats such as CSV files or NetCDF Meteorological Department (IMD), the National Oceanic and datasets, which are difficult to analyze without Atmospheric Administration (NOAA), and the ERA5 climate technical tools. reanalysis dataset. However, most of this data is available in complex tabular formats that are difficult for users to interpret without specialized analytical tools. This research presents the development of an Interactive Climate Dashboard using Tableau to visualize long-term climate patterns across India. The proposed system integrates historical temperature and rainfall records from 1950 to 2025 along with cyclone track data from 1842 to 2025. The dashboard converts large climate datasets into interactive visualizations including geographic heat maps, time-series charts, district comparison graphs, seasonal trend analysis, and animated cyclone tracking. The system allows users to explore climate information through dynamic filters such as year, district, region, and cyclone name, enabling interactive exploration of climate trends and regional weather variations. By transforming raw climate datasets into clear visual insights, the proposed dashboard simplifies climate analysis and improves accessibility.
Traditional climate analysis methods rely heavily on statistical software and manual data processing. This makes it challenging for many users to quickly understand climate patterns or explore regional variations in weather behaviour. With the increasing availability of climate data, there is a growing need for tools that can present complex datasets in a more accessible and interactive format. Data visualization techniques provide an effective solution for this challenge. Visualization tools convert complex datasets into graphical representations such as charts, maps, and dashboards that allow users to explore patterns and relationships more easily. Interactive dashboards enable users to filter data, compare regions, and observe long-term climate trends dynamically.
Key Words: Climate Data, Tableau Dashboard, Data Visualization, Climate Analysis, Cyclone Tracking, Interactive Dashboard
This research proposes an Interactive Climate Dashboard using Tableau that integrates long-term climate datasets and cyclone tracking information. The dashboard allows users to analyze temperature trends, rainfall patterns, district comparisons, and extreme weather events through interactive visualizations. By transforming large climate datasets into intuitive visual insights, the system improves understanding of regional climate behaviour and supports climate research and environmental studies.
I. INTRODUCTION Climate plays a vital role in shaping environmental conditions, agriculture, disaster management, and economic planning. India experiences diverse climatic conditions due to its vast geographical diversity, including coastal regions, deserts, plateaus, and Himalayan Mountain ranges. These geographical features influence rainfall patterns, temperature distribution, and cyclone formation across different regions.
II. RELATED WORK A. Climate Data Visualization in Environmental Research Visualization techniques have become essential for analyzing and interpreting large-scale environmental datasets. Kendall-Bar et al. introduced EcoViz, a
Meteorological organizations such as the India Meteorological Department (IMD), NOAA, and ERA5 climate datasets continuously collect large volumes of weather data. These datasets include temperature © 2026, IRJET
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