Data visualization

Data visualization is a key component in our communications. It shows our commitment to transparency and constant innovation.

Data vis overview charts

Data visualization turns complex information into graphs, charts and other visual formats. This makes the data easier to comprehend.

Our data visualization style is:
  • eye-catching and visually appealing
  • organized and coherent
  • simple and digestible
  • clear in its purpose

Toolkit


Our data visualization style is vibrant and dynamic. The rounded edges work in harmony with sharp endings and precise lines.

Pie chart

Pie chart

Bar chart

Bar chart

Line graph

Line graph

Area chart

Area chart

Timeline chart

Timeline chart

Bubble chart

Bubble chart

Flow chart

Flow chart

Map

World map

Data overlay

Data overlay chart

Simple data visualization

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Simple data visualization

Use gray tints plus one of our data visualization colors to emphasize the most important data point in basic data visualizations. Gray visualizations allow the color to draw the viewer’s attention. Use the accent color when referring to positive Micron-specific data or to highlight important information.

Do not overuse colors. Use color minimally and with the intention of highlighting important data.


Complex data visualization

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Complex data visualization

For complex data visualization (more than four data points) or color-coded data, combine the colors from our data visualization palette.

  • Colors should be applied in corresponding groups when creating related data groups — i.e., Gold A with Gold B and Gold C.
  • For readability, do not place the same graded tints next to each other — i.e., Blue A shouldn’t be placed next to Purple A.
  • Use the Micron accent color to represent positive Micron data or other important information.

Charts and graphs pie chart

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Charts and graphs

Best practices

  • Keep the bars of charts and graphs thin to create dynamic and smart visuals.
  • To improve the readability of a chart, attach each label to its segment. Do not include a separate legend unless absolutely necessary.
  • Alternate color brightness — e.g., use Green A next to Blue C next to Blue B.
Charts and graphs examples

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Charts and graphs

Examples


Maps examples

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Maps

Our maps are proprietary to Micron, with silhouetting that follows our curved yet precise visual style. Our maps are available with our gradients or in outline versions.

They can be used to represent our offices and regional data. When combined with other data visualization elements, the maps create a more cohesive story.


Data overlay data points examples

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Data overlay

Data points

Data can also be placed over footage or imagery. Using the same principles as when it is laid over renders, it creates a connection to our data visualization style.

To highlight specific points within an object or scene use a double-circle pointer and rounded corner line.


Data overlay refractive renders example

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Data overlay

Refractive renders

Data flow

Our renders show the data flow with a white glowing light that that curves through the object. This effect can be applied in both our light and dark modes.

Data overlay

We can overlay data points and information onto renders, images and footage. In our data overlay:

  • data intersects the object and follows its orientation. It is never laid flat on top of the object
  • data figures and descriptions are always shown in white and in grades of transparency
  • the lines connecting parts of the object with their respective data figures are thin with rounded corners, matching our data visualization style

Tables examples

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Tables

Our tables are simple and smart. To improve readability:

• Use only the minimum necessary number of lines.

• Use subtle highlights and dividers.

• Colors are limited to our neutral color palette. To highlight the most important content, use our accent color.

• Left-align all text.

• Allow for clear space between rows and columns.

• Tables should end with a gray row or with a black rule.

Tables: Things to avoid

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Things to avoid

Here are a few things to avoid when creating tables to keep them simple and smart.


Infographic examples

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Infographics


Infographics are a great way to tell visual stories with our data visualization style, colors, type and iconography.

To create infographics:
 

• Keep the layout simple and easy to understand; do not overcrowd the layout.

• Use the accent color to represent Micron-focused data.

• Do not use too many colors.

• When using a gradient, match the color to the color scheme.


Things to avoid

Don’t lock up the logo with the mark.

Don’t lock up headlines with the mark.

Don’t add color or a gradient to the bar.