how is data visualization used?
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Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science.
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A chart is a powerful tool that allows you to visually display data in a variety of different chart formats such as Bar, Column, Pie, Line, Area, Doughnut, Scatter, Surface, or Radar charts. With Excel, it is easy to create a chart.
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Dot plots are used for continuous, quantitative, univariate data. Data points may be labelled if there are few of them. Dot plots are one of the simplest statistical plots, and are suitable for small to moderate sized data sets. They are useful for highlighting clusters and gaps, as well as outliers.
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['Ease-of use and an intuitive user interface for business users to create interactive visualizations.', 'Various visualization components such as bar charts, pie charts, histogram, scatter plots, treemaps, trellis charts, and many more.']
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['Flowchart. Most of us are familiar with flowcharts. ... ', 'Check Sheet. A check sheet is a basic quality tool that is used to collect data. ... ', 'Cause and Effect (fish bone) Diagram. ... ', 'Pareto Chart. ... ', 'Control Charts. ... ', 'Histograms. ... ', 'Scatter Diagrams.']
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['Scatter plot. ... ', 'Bar graph and histogram. ... ', 'Pie chart. ... ', 'Box and whisker chart. ... ', 'Three-dimensional effects. ... ', 'Drawing a graph: example.']
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A histogram is used to summarize discrete or continuous data. In other words, it provides a visual interpretation. This requires focusing on the main points, factsof numerical data by showing the number of data points that fall within a specified range of values (called “bins”).
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Text, tables, and graphs for data and information presentation are very powerful communication tools. They can make an article easy to understand, attract and sustain the interest of readers, and efficiently present large amounts of complex information.
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GGobi is a free statistical software tool for interactive data visualization. GGobi allows extensive exploration of the data with Interactive dynamic graphics. It is also a tool for looking at multivariate data. R can be used in sync with GGobi (through rggobi).
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['Undertaking data collection, preprocessing and analysis.', 'Building models to address business problems.', 'Presenting information using data visualization techniques.']
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Scatterplots and correlation review. A scatterplot is a type of data display that shows the relationship between two numerical variables. Each member of the dataset gets plotted as a point whose x-y coordinates relates to its values for the two variables.
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['Scatter plot. Scatter plots present data on the x- and y-axes and are used to investigate an association between two variables. ... ', 'Bar graph and histogram. ... ', 'Pie chart. ... ', 'Box and whisker chart. ... ', 'Three-dimensional effects. ... ', 'Drawing a graph: example.']
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Graphics and Visualization Tools That makes Python a must-have tool not only for data analysis but for all data science. You can make the data more accessible and easier-to-use by means of creating various charts and graphics, as well as web-ready interactive plots.
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A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.
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['SAS. It is one of those data science tools which are specifically designed for statistical operations. ... ', 'Apache Spark. ... ', 'BigML. ... ', 'D3. ... ', 'MATLAB. ... ', 'Excel. ... ', 'ggplot2. ... ', 'Tableau.']
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The advantage to using graphs and charts is that they can display a lot of information is an easy to understand format. For example, a line graph is a great way to show trends over a period of time. You could put numbers in a table, but a line that is consistently going up is much more accessible at a quick glance.
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['Line Graphs.', 'Bar Graphs.', 'Histograms.', 'Line Plots.', 'Frequency Table.', 'Circle Graph, etc.']