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Statistical analysis and Geo Visualization in Agriculture

BeginnerGuided Project

In this lab, we will learn how to download data, perform statistical analysis, visualize it, and display it on dynamic map.

4.5 (109 Reviews)

Language

  • English

Topic

  • Data Analysis

Industries

  • Agriculture

Enrollment Count

  • 1.21K

Skills You Will Learn

  • Data Science, Machine Learning, Artificial Intelligence

Offered By

  • IBM

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • May 1, 2024
About This Guided Project

About

In this lab, we'll practise downloading, setting up, and performing statistical analysis on economic accounts for agricultural database. Create interactive maps that display pricing changes over time. All data is obtained from the Eurostat Database.  (https://ec.europa.eu/eurostat/data/database).
 
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

Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

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Bogdan Norkin

Dr.Sc. in applied mathematics.

Research Fellow, V.M. Glushkov Institute of Cybernetics of NAS of Ukraine.

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Kateryna Hazdiuk

PhD of Software Engineering

I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.

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