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<\/a><\/div>\n<\/a><\/a><\/div>\nWhy?<\/em><\/p>\n The charts are best suited for displaying complex and bulky data using minimal space. Besides, the two charts are amazingly easy to read and interpret, even for non-technical audiences.<\/p>\n Google Sheets has pretty basic Charts. Besides, the application does not natively support this type of chart.<\/p>\n We’re not recommending you do away with the data visualization application.<\/p>\n Download and install a particular add-on (which we’ll talk about later) for access to a ready-made histogramam in Google Sheets. Yes, you read that right.<\/p>\n Graphical representation refers to charts and graphs you can use to visually display, analyze, clarify, and interpret data.<\/p>\n Data is fed into a visualization tool and then represented by a variety of symbols, such as lines on a Line Chart<\/a>, bars on a Bar Chart, or slices on a Pie Chart.\u00a0 And this makes data easy to decode for actionable insights.<\/p>\n Charts and graphs, including Mekko charts<\/a>, can help you illustrate relationships, anomalies, and trends. Besides, they contribute to reliable predictions and data-driven decisions<\/p>\n You can use a wide variety of maps, diagrams, and graphs, such as dot plot graphs<\/a>, to display insights into your data. Choosing the most appropriate chart for your needs depends on a variety of different factors:<\/p>\n Keep reading because we’ll address the following question in the coming section: Why is the graphical representation of data<\/a> important?<\/p>\n Graphical representation of data is a crucial component in understanding and identifying patterns and trends in the ever-increasing flow of data.<\/p>\n You can use graphs and charts<\/a> to visualize bulky data for actionable insights, which empowers reliable decision-making. Besides, they significantly promote collaboration using familiar visual metaphors like the slop chart<\/a> to illustrate relationships and patterns, eliminating complex, long-winded numbers.<\/p>\n Data is valuable only if you have the proper tools to turn it into actionable insights for decision-making. Data visualization<\/a> helps the brain detect relationships and patterns in sizes, shapes, colors, and quantities more efficiently than raw tables and spreadsheets.<\/p>\n Analyzing large tables with many rows and columns can be time-consuming and less effective, whereas charts and graphs provide a clear visual context for presenting data stories.<\/p>\n Keep reading because we’ll address the following question in the coming section: Which graph is best suited for large sets?<\/p>\n To visualize bulky and complex data sets, you need charts that can display a ton of information using limited space. Also, the chart should be clutter-free.<\/p>\n The tested and proven charts for the aforementioned task are:<\/p>\nTable of Contents:<\/h3>\n
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What is the Graphical Representation of Data?<\/h2>\n
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Why is Graphical Representation of Data Important?<\/h2>\n
Which Graph is Best Suited for Large Data Sets?<\/h2>\n