Offered By: IBM

Data Science in Agriculture. Basic statistical analysis and Geo Visualisation

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

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GPXX0PG8EN

Data Science

951 Enrolled
(81)

At a Glance

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

About

This lab is dedicated to downloading, pre-preparing and making statistical analysis of Economic accounts for agriculture and to creating interactive maps showing the dynamics of the prices.

In this lab, we will learn how to download data, perform basic statistical analysis, visualize and display it on dynamic maps. All data is obtained from 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 show the data change 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

Estimated Effort

1 hour

Level

Beginner

Industries

Agriculture

Skills You Will Learn

Data Science

Language

English

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Instructors

Profile picture for Bogdan Norkin

Bogdan Norkin

Dr.Sc. in applied mathematics.

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

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Profile picture for Yaroslav Vyklyuk

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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