Data Visualization using OriginLab (Origin and OriginPro)

Open Origin, use a blank workbook, import data, and plot a basic 2D line graph, avoiding templates for clearer visuals.

Navigate the project explorer to manage workbooks and graphs, rename items, create a scatter plot, and set axis titles and units for clear data visualization in Origin.

Learn to modify axis scales and curve visuals in Origin, adjusting y-axis and x-axis scales, tick intervals, line thickness and color, title formatting, and optional area fill.

Explore configuring major and minor ticks on horizontal and vertical axes, adjusting tick counts, fonts, colors, and title boldness through a simple pop-up interface for clear, customizable graphs.

Modify the legend and add a frame to the first graph, then adjust frame style, line thickness, color, and grid lines for clarity.

Learn to add major and minor grid lines in OriginPro by selecting the axis, configuring grid options, and styling colors and line thickness.

Conclude the first graph by changing the line color to black, adding a centered layered title, and adjusting framing, legend, and line style options.

Create multiple curves in a single Origin graph to compare test results on a shared x-axis, highlighting competition between experiments with distinct line styles, colors, and thickness.

Learn how to add multiple data series in a single Origin graph by duplicating sheets, copying data between sheets or workbooks, and customizing colors, line styles, and legend.

Export the graph from the file menu, choose a style and location, and name the first graph. Use margin control and preview to adjust size and dpi for printing.

Import data from Notepad by copying from a text file into Origin, or use the import wizard to set column separators and preview data before plotting.

Create a line plus symbol graph in origin to compare temperature versus height data across three grids, adjusting symbols, legend, and line styles for clear, printable distinction.

Learn to resize and style charts in OriginLab by editing layer and plot properties, then convert Kelvin to Celsius on the top axis using a formula.

Create a scatter plot to compare experimental and numerical data in one chart, using symbols for experimental points and line-plus-symbol for numerical results, with symbol mapping.

Discover how to extract x and y data from published graphs using Origin's digitized image tool, rotate and align axes, and export data for scatter plot comparison with your results.

Master extracting and verifying line data in OriginLab by generating graphs from images, deleting erroneous points with a selection box, and adding multiple lines with distinct symbols.

Demonstrates auto trace line by points in OriginLab, including selecting the line, double-clicking to connect points, adjusting visibility, deleting extra data, and tuning the line thickness.

Learn grid picking in digitizer to automatically extract points from a selected region using a rectangle, with lines, editing points, and integrating data into graphs in OriginLab.

Modify the axis style in Origin by selecting data, toggling the frame, and exploring axis arrangements and scale relations to customize top, bottom, left, and right axes.

Normalize the data by dividing by the specified diameter to create a dimensionless length. Plot the normalized data as a line chart to reveal pressure variation with diameter.

Explore creating various line charts in OriginLab by selecting data and using shortcuts, including simple line, horizontal step, vertical step, and spline vs plainchant connectivity.

Explore scatterplot varieties in OriginLab, focusing on scatter central with center axis placement and column scatter, and learn data selection, plotting options, and symbol customization.

Learn to quantify the deviation between output and standards in Origin by computing the difference with a formula, create an error column, and add y-error bars to an input-output scatterplot.

Learn to add X error bars to a chart by calculating the difference between input values and standard values, then plotting the error on a scatterplot as an X-axis bar.

combine input, output, and error data to create x and y error charts and a scatterplot in origin, then adjust error-bar colors, thickness, and variation.

Explore how to add vertical and horizontal drop lines to a scatter or line plus symbol chart in OriginLab, highlighting data point positions.

Create a bubble chart in Origin from three columns—products, sales, and market share—and visualize market share by bubble size with color, scaling, and labels.

Learn to create color mapped bubble charts and add color legends in OriginLab, using color scales and color bars to convey market share alongside bubble size and color.

Explore creating bubble charts with color maps in Origin software to visualize market share by product, using bubble sizes and color scale to compare data.

Set the default font style in Origin by opening Preferences, selecting the font option, choosing a font such as Colibri or Times Roman, and applying it for new graphs.

Demonstrate how to designate axes in OriginLab for comparative graphs, assign the first column as the x axis and other columns as y axes, and create line plus symbol charts.

Explore creating a line series chart in Origin or OriginPro using two columns for X and Y, showing direct connectivity between points with adjustable line width and symbols.

Explore the variations of line and symbol charts in Origin and OriginPro, including the basic line with connected points, line plus two-point connectivity with gaps, and three-point segment connectivity.

Create a column chart in OriginLab by importing Excel data, selecting the X and Y columns, and applying the column plot; rotate labels to improve readability and reduce overlap.

Explore column chart plot properties in origin and origin pro, adjusting borders, colors, gradients, spacing, and bar width to clearly represent data and enhance reports.

Learn to convert experimental data into a multi-case column chart in Origin, comparing materials across cases, and adjust the legend, axes, and colors for clear visuals.

Double-click the column to access color options, choose shading and color arrangements (classic or classic layer), adjust order, and apply to visualize data patterns in Origin.

Explore column chart types in Origin and OriginPro, including bar graphs, column with label, stacked and 100 percent stacked charts, with emphasis on horizontal versus vertical arrangements and spacing.

Learn floating column and floating bar charts in OriginLab, using x, y, y data with max and min limits to visualize value ranges in vertical and horizontal layouts.

Explore the lollipop chart in Origin, comparing scatter points with connecting drop lines, customizing symbols, and choosing horizontal or vertical layouts to reveal data patterns.

Explore how to create and customize pie charts in Origin and OriginPro, selecting data, exploring pie chart variants, and adjusting borders, fills, colors, and patterns to visualize percentage proportions.

Learn how to create and customize a 3D pie chart in Origin and OriginPro, adjusting viewing angles, thickness, radius, rotation, labels, colors, and value or percentage displays.

Learn to tailor OriginLab pie charts by combining slices below 15 percent, exploding selected slices, adjusting displacement, and reordering wedges for clear data visualization.

Transform a pie chart into a doughnut chart by adding a hole, adjust the hole size, rotate, and support combined 'other' categories with values and labels.

Explore how to create and customize doughnut and pie charts in OriginLab by combining data from multiple countries, adjusting radius and gaps, and configuring leader lines and labels.

Showcase how to create a kite diagram in Origin to visualize species distribution and habitat variation along a river transect, with distance on the x axis.

Select your data and plot a kite diagram in Origin, then customize axes and symbols to reveal species presence across transects, with the program computing values automatically.

Use Origin's annotation tool to label graph points with values and display the corresponding leader lines. Modify annotation text properties, including font and color, and adjust leader line styles.

Explore how to use Origin's data visualization tools, including line, arrow, text, and data highlighter, to annotate graphs, zoom, and highlight corresponding data regions in the workbook.

Explore creating sinusoidal-like graphs in Origin by plotting sweeping phase against normalized output, and customize with area fills, color maps, line charts, and annotations.

Use the scale command and control+left click to magnify a region of a multi-series Origin graph, producing a separate magnified window for your report.

Learn to magnify a graph in OriginLab, create a magnified window, and copy or paste the zoomed view into the main graph with adjustable color, font size, and arrows.

Explore density dot plots as a heavy scatter plot for millions of data points, visualizing data density with color scales from blue to red and customizable legend options.

Plot a density dot map of the United States by longitude and latitude in Origin, displaying forty-two thousand cities by zip code, and add a boundary to outline the country.

Learn to create a double axis graph in origin, plotting two Y variables on left and right axes from columns B and C, with auto-adjusting scales and customizable colors.

Explore multi-variable plots in OriginLab, using three y's and four y's with left and right axes, color and symbol coding, and multi-panel arrangements to compare variables in one graph.

Create multi-y-axis charts in OriginLab by selecting multiple data columns and applying the multiple y axis tool. Adjust axis arrangement, labels, and styling to clearly compare many data series.

Explore vertical and horizontal panel charts in OriginLab, selecting data columns and adjusting line styles and plot types while considering axis labeling and rotation to improve readability.

Learn to create multi panel and multi band charts in Origin by selecting multiple columns, arranging stacked or non-stacked layouts, adjusting line styles, and practicing with up to nine columns.

Explore creating and customizing a zoom plot in OriginLab, using a movable magnifier, legend, and color and transparency adjustments for clear variable comparison.

Explore creating and customizing 3D x-y-y-z bar charts in Origin, visualizing revenue over time for two products with rotation, color, stacking, and legend options.

Explore customizing 3D charts in Origin and OriginPro, including resizing, axis control, rotation, and shape options like bar, cylinder, and pyramid, with label arrangement and color settings.

Create and customize 3d side-by-side charts in OriginLab to compare products, rotate raw data to reduce overlap, adjust colors and background, and explore orthographic and perspective projections with angle controls.

Learn to build a three-dimensional stacked chart in OriginLab, stacking product data across years, interpreting the total as the sum of individual values, and customizing colors.

Learn to create and customize 3D scatter plots in OriginLab, including data setup, symbol styles, colors, sizes, and axis options, to effectively visualize multi-dimensional data.

Explore creating and comparing X across and Y across 3D charts in Origin, enabling parallel axis, drop lines, symbol size, grid visibility, and color customization to visualize axis differences.

Design and visualize 3d line trajectories using Origin and OriginPro with X, Y, Z data from multiple experiments, linking symbols with lines and displaying temperature changes over time.

Create a 3d ribbon plot in origin by selecting X and Y columns, compare ribbons with line plots, and customize thickness, fill, and edge color for multiple experiments.

Discover how to build a three-day wall graph in OriginLab by selecting x and y for two experiments, filling area with the same color, and customizing colors, edges, and thickness.

Explore stacking data from multiple experiments in OriginLab, designate x and y axes, and create three distinct stacked wall charts, with customization options like color, weight, and normalization.

Turn numerical data into a 3d surface wireframe in OriginLab. Select the first row as the y values and the first column as the x values, then apply wireframe options.

Explore creating a 3d surface plot from selected X and Y data, apply color maps, compare white-frame and flat modes, and interpret peak values in OriginLab.

Customize 3D surface plots in Origin and OriginPro by adjusting color maps, scaling, transparency, grid lines, and legend to clearly represent data values.

Learn to intersect two three-dimensional surfaces by adding a second plot, adjusting scales, applying color shading, and comparing peak regions across layers in OriginLab.

Explore how to tile windows and customize legends in OriginLab, including horizontal and vertical graph layouts, legend backgrounds and shadows, label positioning, and title formatting.

Explore legend customization in Origin by linking legend entries to plots, adjusting level options and colors, and configuring major tick locations.

Insert a table into a graph in Origin, creating a two-by-seven data grid. Enter frequency and amplitude values, then adjust the table and graph layout.

Use Origin's screen reader to read precise x and y coordinates on a chart, activate the tool to identify peak values and inspect any graph point.

Create a three-dimensional waterfall chart in OriginLab from sheet data, and customize colors, borders, and 3D styling to visualize amplitudes and loads on the x and z axes.

Learn to create a ternary plot in Origin for visualizing three components with a constant sum, using small, medium, and large particle size data.

Learn to customize a ternary plot in OriginLab by rescaling axes, setting ranges 0–25 and 75–100, and adjusting colors, borders, symbols, and drop lines to reveal particle size distributions.

Learn to create a 3d tetrahedral plot in originlab originpro using four columns of random data, map X, Y, Z coordinates, and customize symbols and colors for clear data visualization.

Create a three dimensional chart from X, Y, Z data using ternary symbols and rotate the view; the data arrangement, not values, drives the 3d plots in Origin.

Create a 3d ternary color-mapped surface plot in OriginLab by assigning data columns to x, y, z, applying a density color map, and adjusting mesh style and visibility.

Visualize contaminated concentration data with a heat map in Origin, importing data, creating a heightmap, and customizing scales, palettes, and legends for clear interpretation.

Explore customizing heat maps in Origin: adjust levels, color scales, spacing, and labels, swap layouts, and tailor ranges and legends to enhance data clarity.

Master heat map customization in OriginLab by selecting color palettes and representations such as contour, grayscale, or black-and-white lines. Adjust labels and decimal places to clearly present matrix data.

Explore heat maps and contour plots in Origin, including a split map with a gap, adjust map size, and use line profiles to analyze vertical and horizontal data.

Learn to rotate and adjust 3D charts in Origin via the rotation tool, keyboard shortcuts, and angle controls, including reset, tilt, perspective, and orientation options.

Learn how to create and save a theme to automate graph customization across many data sheets, applying consistent axis ranges, line styles, and grid settings.

Explore how to manage data visualization themes and teams in OriginLab: activate, customize, and clear system teams, apply transformations, and switch to black-and-white publication to streamline graphs.

Merge multiple graphs in Origin or OriginPro into a single image to save space when publishing. Arrange them in rows and columns and label with ABCD.

Explore two dimensional data visualization options, including bar charts, scatterplots, biplots, curves, and tables, to clearly convey comparisons, distributions, trends over time, and relationships.

Learn the procedure to create a high resolution 300 dpi image by exporting to PostScript or encapsulated PostScript, importing with GIMP, and exporting with 100 percent quality for publication.

Learn how to add arrows in GIMP using a plugin, create arrow paths, adjust angles and dimensions, and label diagrams with text for clear data visualization.

paste the extracted dot sc file into the scripts folder, restart the software, then adjust arrow length and angle in degrees and select points in layers to create arrows.