Indian Wildlife DashboardDikshant Choudhary
I am offering a comprehensive Wildlife Data Dashboard built in Power BI that transforms complex wildlife and conservation data into clear, actionable insights. This project stands out for its visually compelling, interactive reports tailored for researchers, policymakers, and conservationists, ensuring informed decisions to protect biodiversity.
What's included
Interactive Power BI Dashboard
A fully developed and interactive Power BI dashboard visualizing key wildlife data, including sections such as Overview of Indian Wildlife, Geo-Ecological Patterns, Threat Resilience Analytics, Conservation Efficiency Matrix, and Human-Wildlife Coexistence & Mitigation Strategies.
Format: Power BI (.pbix) file and a published version on Power BI Service (with a shareable link).
Quantity: One complete dashboard file.
Data Source and Data Model Documentation
A detailed document outlining the data sources used, the data model structure, relationships, DAX calculations, and measures implemented in the dashboard.
Presentation & User Guide
A slide deck or PDF presentation summarizing key insights from the dashboard and a user guide explaining how to interact with the visuals, filter data, and interpret charts.
Format: PowerPoint (.pptx) and PDF formats.
Quantity: 1 presentation (10–15 slides) + 1 user guide (3–5 pages).
FAQs
The primary goal is to transform raw wildlife data into actionable insights, enabling data-driven decision-making for conservation efforts and helping to preserve natural heritage.
Dashboards are tailored for various stakeholders, including local communities, tourists, and conservation practitioners, to ensure the information is relevant and impactful for each group.
Data undergoes a crucial cleaning and transformation phase in Power Query Editor, involving steps like removing duplicates, handling missing values, unifying inconsistent formats, and filtering irrelevant data.
Yes, Power Query offers AI insights like sentiment analysis and key phrase extraction for qualitative data, and DAX measures can be used for complex calculations like population size dynamics.
Example work
Dikshant's other services
Contact for pricing
Tags
ChatGPT
Microsoft Excel
Microsoft Power BI
Data Analyst
Data Modelling Analyst
Data Scientist
Service provided by
Dikshant Choudhary Udaipur, India
Indian Wildlife DashboardDikshant Choudhary
Contact for pricing
Tags
ChatGPT
Microsoft Excel
Microsoft Power BI
Data Analyst
Data Modelling Analyst
Data Scientist
I am offering a comprehensive Wildlife Data Dashboard built in Power BI that transforms complex wildlife and conservation data into clear, actionable insights. This project stands out for its visually compelling, interactive reports tailored for researchers, policymakers, and conservationists, ensuring informed decisions to protect biodiversity.
What's included
Interactive Power BI Dashboard
A fully developed and interactive Power BI dashboard visualizing key wildlife data, including sections such as Overview of Indian Wildlife, Geo-Ecological Patterns, Threat Resilience Analytics, Conservation Efficiency Matrix, and Human-Wildlife Coexistence & Mitigation Strategies.
Format: Power BI (.pbix) file and a published version on Power BI Service (with a shareable link).
Quantity: One complete dashboard file.
Data Source and Data Model Documentation
A detailed document outlining the data sources used, the data model structure, relationships, DAX calculations, and measures implemented in the dashboard.
Presentation & User Guide
A slide deck or PDF presentation summarizing key insights from the dashboard and a user guide explaining how to interact with the visuals, filter data, and interpret charts.
Format: PowerPoint (.pptx) and PDF formats.
Quantity: 1 presentation (10–15 slides) + 1 user guide (3–5 pages).
FAQs
The primary goal is to transform raw wildlife data into actionable insights, enabling data-driven decision-making for conservation efforts and helping to preserve natural heritage.
Dashboards are tailored for various stakeholders, including local communities, tourists, and conservation practitioners, to ensure the information is relevant and impactful for each group.
Data undergoes a crucial cleaning and transformation phase in Power Query Editor, involving steps like removing duplicates, handling missing values, unifying inconsistent formats, and filtering irrelevant data.
Yes, Power Query offers AI insights like sentiment analysis and key phrase extraction for qualitative data, and DAX measures can be used for complex calculations like population size dynamics.
Example work
Dikshant's other services
Contact for pricing