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Excel is still one of the most powerful tools for analysts. It allows fast, flexible, and explainable data analysis. In 2026, an analyst must know how to visualize and communicate insights clearly and effectively — not just calculate numbers. Charts are central to that mission. In this tutorial, we show you five Excel charts every analyst should know how to make in 2026. These charts cover trends, comparisons, distributions, relationships, and progress tracking — core analytical needs across business, research, and operations.

1. Clustered Column / Bar Chart: Best for Comparisons

This chart is best for comparing discrete categories side by side (e.g., products, regions, teams, months). It remains the most-used business chart in 2026 for good reason: it is clear, familiar, and very effective when you have 5–12 categories.

• Select the columns including headers
• Go to the Insert tab >> from Charts >> select Clustered Column (or Clustered Bar for the horizontal version)

• Click the Plus (+) icon to open Chart Elements >> select Add Data Labels >> choose Outside End
• Turn on Error Bars to show confidence intervals or variance
• Add a concise Chart Title for readability

Dynamic PivotChart

• Click anywhere in your dataset table
• Go to the Insert tab >> select PivotTable
• Select New Worksheet >> click OK

• In PivotTable Fields:
• Drag Region to the Rows area
• Drag Revenue to the Values area
• Click inside the PivotTable
• Go to the PivotTable Analyze tab >> select PivotChart >> select Clustered Column
• Or go to the Insert tab >> from Charts >> select Clustered Column

PivotCharts summarize categories and show aggregated results. You can also use Slicers to make the view interactive.

When to Switch to Horizontal Bar: With long category names or more than eight categories, the horizontal layout is much more readable.

2. Line Chart With Multiple Series: Trend Analysis

Line charts are the foundation of time-based analysis. Whenever the question involves change over time, this is the first chart to consider. It remains the go-to chart for time-based analysis in 2026 (sales trends, KPIs, stock prices, website traffic).

• Select the columns including headers
• Go to the Insert tab >> from Charts >> select Line >> choose Line with Markers for better visibility

Add a Trendline:

• Open Chart Elements >> select Add Trendline >> select Linear (most common for a simple direction)
• Click More Options
• Check Display Equation on chart
• Check Display R-squared value on chart

Scatter Plot + Trendline: Relationship Check

When someone claims “X drives Y,” use a scatter plot to check the relationship. Adding a trendline provides direction and a rough sense of strength.

3. Combination (Combo) Chart: Comparing Different Metrics

Combo charts combine two chart types (typically column and line) to display data series with different scales or units on the same chart, making it easy to spot correlations and trends. They are ideal for comparing metrics with different scales (e.g., revenue vs. growth rate), showing actuals vs. targets, or displaying volume alongside percentages.

This chart type became even more flexible with advanced combo options in recent Excel versions. Let’s show Actual vs. Target together, plus a percent-to-target line.

• Select the columns including headers
• Go to the Insert tab >> from All Charts >> select Combo >> select Clustered Column–Line
• Revenue = Clustered Column
• TargetRevenue = Clustered Column
• % toTarget = Line, and enable the Secondary Axis
• Click OK

This automatically places the column series on the primary axis and the line on the secondary axis.

Common Mistake: If the percent line looks flat, the secondary axis scale is too wide. Tighten the maximum to 1.2 or 1.1.

4. Waterfall Chart: Change & Contribution Analysis

Use a waterfall to show how a value builds up or breaks down (P&L bridges, headcount changes, cash-flow bridges, variance analysis). Native since 2016, it is still one of the most powerful built-in charts in 2026.

You will need a small “bridge” table; it works best with a short table (4–10 rows) that represents the story steps.
Build a Bridge Table (North Performance)

• In an empty area, create two headers: Step and Amount
• Enter these steps (one per row): Revenue, COGS, Opex, Profit

Insert the Waterfall Chart:

• Select the bridge table
• Go to the Insert tab >> from Charts >> select Waterfall or Stock >> select Waterfall

• Click the Revenue bar >> right-click >> select Set as Total (optional but helpful)
• Click the Profit bar >> right-click >> select Set as Total (important for a clean ending)

• Colors auto-assign (positive green/negative red); customize via Format Data Point

Common Mistake: If Profit doesn’t land correctly, one of the cost lines is not negative. Waterfall logic depends on the sign.

5. Box & Whisker: Understanding Data Distribution

Box-and-whisker plots show the distribution of data through quartiles, making them excellent for identifying outliers, comparing distributions across groups, and understanding data spread. This is the fastest way to compare distributions between groups — median, spread, and outliers — without building multiple histograms.

Important: Box & Whisker needs data arranged by series. Excel expects each group as its own column of raw values.

Build Region Columns:

• In a new area, create headers: North, South
• North: 

=FILTER(I2:I25, B2:B25="North")

• South: 

=FILTER(I2:I25, B2:B25="South")

Insert the Box & Whisker Chart:

• Select the columns including headers
• Go to the Insert tab >> from Charts >> select Insert Statistic Chart >> select Box and Whisker

In a box plot, the box spans the 25th to 75th percentile (the middle 50% of values), and the line inside is the median (50th percentile). The whiskers extend to the lowest and highest non-outlier values (outliers appear as separate points), and the X marks the mean in Excel.

Common Mistake: If the chart is blank, the series ranges contain blanks or text. Box plots need numeric values.

Conclusion

These are five Excel charts every analyst should know how to make in 2026. Mastering them will significantly expand your analytical toolkit. It’s not just about knowing how to create them, but understanding when each chart type is most effective. Clustered charts compare categories and performance across regions; line charts show trends over time; waterfall charts excel at showing sequential changes; combo charts compare different scales; PivotCharts with Slicers enable exploration; and box plots illuminate distributions and outliers. As you practice building these visualizations, remember that the best chart is the one that makes your insight immediately clear to your audience.