Data Visualization Techniques Covered in Malaysia's Analytics Courses

Data Visualization Techniques Covered in Malaysia's Analytics Courses

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3 min read

Introduction:

An overview of the many methods used for data visualization that are frequently taught in analytics courses, whether they be found in Malaysia at the 360DigiTMG institution or elsewhere. These methods assist students in learning how to convey and share insights generated from data successfully. The concepts of good data visualization, such as selecting the best chart for the data type, utilizing suitable color schemes, avoiding clutter, & emphasizing clear communication of insights, are typically taught along with these approaches. Although the precise material taught in analytics courses might vary, these methods offer a solid framework for data visualization.

Bar Charts and Column Charts: These are basic charts used to represent categorical data. Bar charts are vertical, while column charts are horizontal. They're useful for comparing data across different categories.

Line Charts: These charts are used to display trends over time. They're effective for visualizing continuous data, such as stock prices, temperature changes, etc.

Pie Charts: Pie charts represent parts of a whole. They're useful for showing the distribution of categories within a dataset.

Scatter Plots: The link between the two numerical variables is shown through scatter plots. They support the discovery of patterns or correlations in data.

Heatmaps: Heatmaps are used to represent data in a matrix format, with colors indicating the magnitude of values. They're commonly used in areas like genetics and finance.

Histograms: Histograms show the distribution of a continuous dataset. They help understand the frequency of data within certain ranges.

Box Plots: Box plots (also known as box-and-whisker plots) show the data distribution along with statistics like the median, quartiles, & outliers.

Area Charts: Similar to line charts, area charts fill the space underneath the line to show cumulative amounts over time.

Radar Charts: Radar charts are useful for comparing multiple variables on a common scale. They're often used to visualize performance evaluations.

Tree Maps: Treemaps represent hierarchical data structures by dividing rectangles into smaller rectangles, with sizes representing values.

Bubble Charts: Bubble charts extend scatter plots by adding a third dimension through the size of the data points.

Gantt Charts: In project management, Gantt charts are utilized to depict a project schedule and highlight tasks, time frames, and their relationships.

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Sankey Diagrams: Sankey diagrams depict flows of resources or values between different entities, helping to understand complex processes.

Word Clouds: Word clouds display text data where the size of each word is proportional to its frequency in the text.

Choropleth Maps: Choropleth maps use color coding to represent data values in different geographic areas, providing insights into regional variations.

Network Diagrams: Network diagrams display relationships between entities, nodes, or vertices, often used in social network analysis.

Conclusion:

In conclusion, for analysts & professionals in a variety of industries, data visualization techniques are crucial tools for successfully communicating insights and patterns buried inside information. These methods allow for the visual depiction of complicated information in a way that is simple to comprehend. Students were exposed to a variety of visualization techniques in Malaysia's analytic courses of study, along with in comparable courses throughout the world, to improve their capacity to draw insightful conclusions from data and communicate those conclusions to a variety of audiences. Students learn to spot patterns, correlations, and outliers in datasets using tools including bar charts, line graphs, scatter plots, & more. Additionally, they learn how to choose the best visualization technique based on the type of data and the goal of the visualization.

FOR MORE DETAILS:

COMPANY NAME

360DigiTMG — Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

ADDRESS

Level 16, 1 Sentral, Jalan Stesen Sentral 5, KL Sentral, 50740, Kuala Lumpur, Malaysia.

PHONE NUMBER

  • 603 2092 9488

ENQUIRY

enquiry@360digitmg.com

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