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On this Page

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  1. Open Data Preview for a Snap.

  2. Click the triangle at the top of the DataViz bar.

  3. For Chart Type, select Pie Chart.

  4. Click Key to Visualize and choose the key for the values to represent in a pie chart.

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line_chart
line_chart
Line Charts

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  1. Open Data Preview for a Snap.

  2. Click the triangle at the top of the DataViz bar.

  3. For Chart Type, select Line Chart.

  4. Click Key to Visualize.

  5. For each line, select a numeric field key.

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over_time
over_time
Line Chart Over Time

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  1. Open Data Preview for a Snap.

  2. Click the triangle at the top of the DataViz bar.

  3. For Chart Type, select Line Chart - Date as X axis.

  4. For X-axis (date), select a temporal field (year, date, or time).

  5. Click Key to Visualize.

  6. Select the key for the y-axis values.

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bar_charts
bar_charts
Bar Charts

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  1. Open Data Preview for a Snap.

  2. Click the triangle at the top of the DataViz bar.

  3. For Chart Type, select Bar Chart - Count.

  4. Click Key to Visualize.

  5. Select the key field for the y-axis.

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bar_aggregate
bar_aggregate
Bar Chart to Aggregate Data

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  1. Open Data Preview for a Snap.

  2. Click the triangle at the top of the DataViz bar.

  3. For Chart Type, select Bar Chart - Group and Count.

  4. For Category, select the target type.

  5. For Group by, select the field to aggregate.

  6. Roll your cursor over the bars to display a range of the values per each category for the indexical relationship between the group key value and the number of entries for that value.

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scatter_chart
scatter_chart
Scatter Chart

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  • Preview Type: Select the Preview Type of JSON, Table, or Raw to view the data in JSON format, as a table (default), or as raw data.

  • Navigation: Click the inner arrow keys to navigate through the records, and click the outer arrow keys to navigate through the Data Preview of each Snap in the Pipeline.

  • Formatted: Select to add line feeds that improve the readability of data in table or JSON format. For example, when viewing error documents that have a stack trace column in JSON mode, select Formatted to make troubleshooting easier.

  • Download: Click Select All and Download to download the entire data set as a JSON file.

  • Arrows: navigate Navigate to the results for the next or the previous Snap.

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  • Preview Type: Select the Preview Type of JSON, Table, or Raw to view the data in JSON format, as a table (default), or as raw data.

  • Indent Level: Select the number of spaces to display indenting the hierarchical JSON elements.

  • Expand Level: Select the level of JSON elements to display.

  • Keys in Quotes: Select to add quotes in the display to key elements.

  • Render whitespace: Select to render blank spaces as symbols in the output. Each space is rendered as a dot (“.”) and each tab is rendered as an underscore ( _ ).

  • Formatted: Select to add line feeds that improve the readability of data in table or JSON format. For example, when viewing error documents that have a stack trace column in JSON mode, select Formatted to make troubleshooting easier.

  • Download: Click Select All and Download to download the entire data set as a JSON file.

  • Expand All: Click to expand all levels of a hierarchical JSON file.

  • Collapse All: Click to collapse all levels of a hierarchical JSON file.

  • Select All: Click to select the JSON text for copying and pasting.

  • Arrows: navigate Navigate to the results for the next or the previous Snap.


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