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Definition of Charting - SS2 ICT Lesson Note

Charting refers to the creation and use of graphical representations (charts and graphs) to visually present data or information. These visual representations help individuals analyze and understand complex data sets more easily. Charts can display trends, relationships, comparisons, and patterns that might be difficult to discern from raw data.

Charts come in various types, including line charts, bar charts, pie charts, scatter plots, and more. Each type is suited to visualizing specific types of data and relationships. Charting is widely used in various fields, such as business, finance, science, and academia, to convey information effectively and aid in decision-making processes.

 

Examples of Charts:

 

  • Bar Chart:

A bar chart is a graphical representation of data that uses rectangular bars or columns to represent and compare different categories or data points. The length or height of each bar is proportional to the value it represents, and the bars are typically arranged along one axis, often the horizontal (x-axis), with the categorical labels on the other axis.

Source:(stock.adobe.com)

 

 

  • Pie Chart:

A pie chart is a circular chart that divides a whole into smaller segments or "slices" to represent the relative proportions of different categories or components. Each slice's size is proportional to the quantity it represents, and the entire circle represents the whole data set.

Source:(cuemath.com)

 

  • Scatter Plot:

A scatter plot is a graphical representation that displays individual data points as dots or markers on a two-dimensional plane. It is used to show the relationship between two continuous variables and can help identify patterns, trends, or correlations between them.

 

Source:(byjus.com)

 

  • Line Graph:

A line graph (or line chart) is a visual representation of data that uses lines to connect data points, which are typically plotted along two axes. It is commonly used to depict changes or trends in data over a continuous interval, such as time, with the x-axis representing the independent variable (e.g., time) and the y-axis representing the dependent variable.

Source:(splashlearn.com)

 

  • Histogram:

A histogram is a graphical representation of the distribution of data, particularly for continuous or numeric data sets. It divides the data into discrete "bins" or intervals and counts the number of data points that fall into each bin. Histograms are used to visualize the frequency or probability distribution of data and provide insights into its central tendency and spread.

Source:(investopedia.com)

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