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HBO/WO

MBO

February 7, 2024

Data cleaning: getting your data ready for analysis

In this clip we will explain how students can take decisions on outliers in their dataset

Video

lenie.vanrossem@wur.nl

September 1, 2023

Practical: Presenting statistical data

Understand and demonstrate the data representation for AI and ML modelling. Apply a range of plotting techniques to visualise data. Be able to check for fairness, handle outliers and missing data.

Document

HCAIM Consortium

May 8, 2018

10-25: Data analysis (descriptive)- ASSIGNMENT 10: SUMMARIZING RATIO VARIABLES

In this assignment the following items will be explained regarding this assignment: In this assignment you will learn how to omprehend the meaning and implications of basic summary measures for ratio variables. Mean, median, quartiles, interquartile range,

Document

Henk van der Kolk

July 2, 2025

Data Analysis and visualization BML

Learning Outcomes You can explain the fundamental concepts of data, including data types, data structures, and the importance of data quality, and you can apply these concepts in the context of both Excel and R. You can import data from various sources (such as CSV, TXT, Excel files) into both Excel and R, and you are able to select the appropriate methods and functions for different data formats and structures. You can clean and prepare data for analysis in both Excel and R by applying techniques for identifying and handling missing values, outliers, inconsistencies, and duplicates. You can apply and interpret various data analysis functions in both Excel and R, including determining minimum and maximum values, calculating percentiles, selecting specific data based on criteria, applying conditional formatting to visually identify patterns, and sorting data to gain insights. You can create effective data visualizations in both Excel and R (such as bar charts, line charts, pie charts, and box plots) to communicate patterns, trends, and relationships in data, and you can customize the visualizations for a clear and purpose-driven presentation. Duration: 18 lessons (5EC).

Website

Jurre Hageman