7.3 Chart Visualization Reports

7.3 Chart Visualization Reports

Objective 6.4 covers reports that display visualizations (charts). Where 6.3 emphasized tables, this objective asks you to turn statistical results into column, line, pie, and related chart types using the Search Visualization tools—and to save those choices as reports.

From Statistics to a Chart Report

Charts need series-shaped data: numeric values plotted against categories or time. In Splunk Search:

1. Run a search that ends with a transforming command.
2. Confirm Statistics shows a chartable table (categories + numbers, or _time + numbers).
3. Open the Visualization tab.
4. Use the Visualization Picker to choose Column, Line, Area, Bar, Pie, and similar types.
5. Adjust basic format options (legend, axis titles) if needed.
6. Save As Report so the chart type travels with the saved search.

Chart-Ready Data: What the Exam Expects

An Events-only result set (no transforming command) is usually not chart-ready. You need aggregation or time-series shaping first.

chart and timechart as series producers (User-level mention)

You may see chart and timechart called out as commands that return tables designed for charting:

• timechart — buckets _time and computes stats per time bucket (great for line/area trend reports).
• chart — builds a chart-oriented table over a field (often with a split-by series).

For the User exam, know that these commands (along with stats/top) create chart-friendly statistical tables. You do not need deep Power User eval chains, complex overlay formatting, or custom visualization apps to answer 6.4 questions.

Worked example: column chart report

index=web sourcetype=access_combined status=5*
| stats count by host
| sort - count

Visualization → Column Chart → Save As Report 5xx Errors by Host. Readers instantly see which host dominates failures.

Worked example: line chart over time

index=web sourcetype=access_combined status=500
| timechart span=1h count as errors

Visualization → Line Chart → Save As Report HTTP 500 Errors Over Time. This is the classic “is it getting worse?” report.

Worked example: pie chart (use carefully)

index=web sourcetype=access_combined
| top limit=5 method

With only a few methods, Pie can show part-to-whole share. If top returns many thin slices, switch to Column or stay on Table.

Using the Visualization Picker (User Skill)

The Visualization Picker is the UI control that lists available visualization types for the current statistical results. User exam behaviors:

• Pick a type that matches the data shape (time → line; categories → column; few parts → pie).
• If a chart looks empty or wrong, return to Statistics and verify the transforming command produced numeric series.
• Save the report after the picker selection so the report retains that visualization.

Formatting options (stack mode, null handling, axis scale) may appear in the Format menu. Recognize that formatting exists; do not memorize every Format panel for User.

Matching Questions to Chart Types

This matching skill is frequently how scenario items disguise objective 6.4.

Saving Chart Reports vs Dashboard Panels

Saving as a report stores the search + chart choice. You can later:

• Open the report from Reports and see the same chart
• Add the report to a dashboard as a panel (7.4)
• Edit the report later to change chart type (7.1)

Do not confuse Save As Report with Save As Dashboard Panel—both can start from Visualization, but reports are the reusable named objects Domain 6 emphasizes before dashboard assembly.

Exam Traps for 6.4

Why Charts Matter on This Exam

Domain 6.0 is not only about storing SPL—it is about communicating results. Chart reports prove you can choose a visualization that matches the analytical question and preserve it for others. Pair that with table reports (6.3) and you can pick the right display mode under exam pressure.