HOW TO CREATE DASHBOARD IN POWR BI

Question

Regional Crop Production Overview:

Use a map visualization to show crop production across different states of India.

Color code the map based on the total production of crops in each state to highlight regional disparities.

Crop Type Analysis:

Create a bar chart or pie chart to display the distribution of crop types (Kharif, Rabi, Summer, and Whole Year) across the dataset.

Show the total production of each crop type to understand the significance of each season in overall agricultural output.

Nutrient Levels and Soil pH:

Utilize scatter plots or box plots to visualize the distribution of Nitrogen (N), Phosphorus (P), and Potassium (K) levels in the soil across different states.

Show average pH levels of soil in each state using a bar chart or line chart.

Climatic Factors Impact:

Display line charts to depict the variation in rainfall and temperature over time, possibly aggregated by month or season.

Compare the average temperature and rainfall levels among different states to identify regions with favorable climatic conditions for crop cultivation.

Land Utilization:

Use a stacked bar chart or treemap to illustrate the distribution of land area under cultivation for different crops in each state.

Highlight the states with the largest and smallest land areas devoted to agriculture.

Crop Yield Analysis:

Show a line chart depicting the trend of crop yield (tonnes per hectare) over time for major crops in selected states.

Compare the yield of different crops within the same state to identify high-performing crops.

Key Performance Indicators:

Display KPIs such as total crop production, average yield, and average nutrient levels in the soil for the selected region or state.

Include trend indicators or conditional formatting to highlight positive or negative trends in agricultural performance.

These visualizations and insights will provide a comprehensive overview of crop production trends, soil fertility, climatic factors, land utilization, and productivity across different regions of India, facilitating informed decision-making for agricultural planning and management

Answer 1

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