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What are the most effective ways to display numerical data for different data types?

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Data mining is the process of extracting useful information from large and complex datasets. One of the key steps in data mining is data visualization, which is the graphical representation of data to reveal patterns, trends, and outliers. However, not all data types are the same, and different data types require different visualization methods. In this article, you will learn about the most effective ways to display numerical data for different data types, such as categorical, ordinal, interval, and ratio data.

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1 Categorical data

Categorical data are data that can be divided into groups or categories, such as gender, color, or country. The most common way to visualize categorical data is to use bar charts, which show the frequency or proportion of each category. Bar charts can be horizontal or vertical, and can be stacked or grouped to compare multiple variables. Another option is to use pie charts, which show the relative size of each category as a slice of a circle. Pie charts are useful when you want to emphasize the proportion of a whole, but they can be misleading or hard to read when there are too many categories or small differences.

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2 Ordinal data

Ordinal data are data that can be ordered or ranked, such as satisfaction levels, education levels, or ratings. The most common way to visualize ordinal data is to use histograms, which show the distribution of data across bins or intervals. Histograms can help you see the shape, center, and spread of the data, as well as identify any gaps or outliers. Another option is to use box plots, which show the summary statistics of the data, such as the median, quartiles, and outliers. Box plots can help you compare the variability and skewness of the data across groups or variables.

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3 Interval data

Interval data are data that have equal intervals or differences between values, but no true zero point, such as temperature, dates, or scores. The most common way to visualize interval data is to use line charts, which show the change or trend of the data over time or another variable. Line charts can help you see the direction, slope, and magnitude of the data, as well as identify any peaks or troughs. Another option is to use heat maps, which show the intensity or frequency of the data as colors or shades. Heat maps can help you see the patterns, clusters, or correlations of the data across two or more dimensions.

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4 Ratio data

Ratio data are data that have equal intervals and a true zero point, such as height, weight, or income. The most common way to visualize ratio data is to use scatter plots, which show the relationship or association between two or more variables. Scatter plots can help you see the correlation, direction, and strength of the data, as well as identify any outliers or clusters. Another option is to use bubble charts, which are similar to scatter plots but use the size of the bubbles to represent a third variable. Bubble charts can help you see the relative importance or impact of the data across three dimensions.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Jo?o Cláudio Nunes Carvalho

PhD in Physics | MBA in Data Science and Analytics | Certified in Executive Data Science (JHU) & Google Data Analytics | Expertise in AI, Business Analytics, and Data Governance
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Para exibir dados numéricos de forma eficaz, é importante escolher o tipo de visualiza??o mais adequado para o tipo de dados e a mensagem que se deseja transmitir. Alguns tipos de visualiza??o comuns incluem indicadores, gráficos de linha, gráficos de barras, gráficos de colunas, gráficos de pizza, gráficos de dispers?o, mapas de calor, caixas de dispers?o, histogramas e mapas.

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What are the most effective ways to display numerical data for different data types?

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5

1 Categorical data

2 Ordinal data

3 Interval data

4 Ratio data

5 Here’s what else to consider

Data Mining

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What are the most effective ways to display numerical data for different data types?

1

2

3

4

5

1 Categorical data

2 Ordinal data

3 Interval data

4 Ratio data

5 Here’s what else to consider

Data Mining

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