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Doing analysis in sql server with realtime data

Generating the dasboards

To create visualizations in your Jupyter Notebook using the analysis on the apagri_data, you can use libraries like Matplotlib and Seaborn for plotting graphs. I will guide you through adding appropriate visualizations for each of the analysis tasks you outlined. Below are the steps along with sample code for each visualization.

Summary: Top 10 Visualization Reports (Power BI) Here’s a quick summary of the top 10 visualizations with recommendations on X-axis and Y-axis placements: 1. Bar Chart - Total Production by Crop (2023) X-axis: Crop Y-axis: Total_Production_2023 Visual Type: Bar Chart Reasoning: This shows the total production for each crop in 2023, making it easy to compare the sizes of crops by production. 2. ...

A data analyst is a professional who collects, cleans, interprets, and presents data to help businesses make informed decisions. They use statistical analysis and data visualization techniques to uncover trends, patterns, and insights within large datasets.

First, define the objective of your project. What insights are you looking for? Some example objectives could be: Analyze the performance of various crops in different districts. Understand the impact of irrigation type on crop yield. Identify seasonal trends and crop productivity over the years. Compare different irrigation methods and their effect on yield

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Query :-SELECT Department, SUM(Salary) AS TotalSalary FROM employee_table GROUP BY Department;

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