Statistical analysis and Geo Visualization in Agriculture
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Learn statistical analysis and geospatial visualization techniques for agricultural data. Use spatial data analysis to monitor crop yields, soil health, and other key metrics, applying Python and GIS tools to optimize farming practices and land management.
At a Glance
In this lab, we will learn how to download data, perform statistical analysis, visualize it, and display it on dynamic map.
About
This lab consist of the following steps:
- Data download – download and display data from a file
- Data preparation – preliminary analysis of data structure, change of data types and table structure
- Statistical analysis – basic statistical analysis
- Data visualization – output of various data on graphs
- Build a trend line – the basic method of building a trend line and a forecast based on it
- Interactive maps – construction of interactive maps which shows the change in data over a period of time.
After completing this lab, you will be able to:
- Download a DataSet from *.csv files
- Transform the table
- Visualize data with pandas and seaborn
- Expect
- Minimum and maximum value
- Average
- Quarters
- Pivot tables
- Build Interactive Maps
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