Types of Charts and How to Choose

Pick among types of charts for trends, categories, shares, correlation, and flows, with a short checklist.

BeCharts (Uwarp)Updated October 10, 20269 min read
Types of Charts and How to Choose

The types of charts you can choose from are only useful if each one answers a different question. The goal is not the most complex visualization. It is to help readers answer a specific question in a few seconds. This guide is the hub for those types: a decision process, the main families, and a link to the page that owns each one. From there you can open a template in BeCharts.

BeCharts, built by Uwarp, includes 21 chart types and 100+ templates. You can import a CSV, paste spreadsheet rows, or use the AI assistant, then export PNG, SVG, or PDF. No account is required. Charts you save stay in the browser unless you export or share the file. Start from the template gallery.

Start with Your Goal

Before you open a chart editor, write one sentence that states the decision or insight you want the chart to support. Then map that sentence to a visualization job:

If your sentence includes more than one job—for example, “compare regions and show the trend over time”—you may need two charts, a combo template, or a grouped design rather than forcing everything into one visual.

Ask Three Questions About the Data

1. What is the primary variable type?

  • Categories (products, teams, countries): bars, columns, or pie for small share breakdowns.
  • Time or another ordered sequence: lines, areas, or theme river for stacked flows over time.
  • Two numeric measures: scatter (optionally with size or color as a third encoding).
  • Hierarchy: treemap or sunburst.
  • Matrix of values: heatmap.
  • Network or chord relationships: graph or chord layouts.

2. How many series or categories will you show?

Fewer series are almost always easier to read. A line chart with three series can be clear; twelve series usually becomes noise. A pie chart with four slices can work; fifteen slices usually fails. When the list is long, sort a bar chart and show the top items, or group the rest into an “Other” category.

3. What should the reader compare first?

People compare length and position more accurately than angle or area. That is why bar and line charts remain the default for most business reporting. Save pie charts for simple share stories, and save specialty charts for questions those shapes answer better than bars or lines.

Line charts are best for time series and trends. Use them when the horizontal axis is time (days, months, years) or another continuous progression, and you want readers to see direction, rate of change, seasonality, or volatility.

Good for: Revenue over quarters, website traffic, temperature over a week, signup growth, inventory levels.

Watch outs: Do not connect unordered categories with a line—that implies a sequence that does not exist. If labels are product names with no natural order, use bars instead.

In BeCharts you can start from a line template, switch to an area chart on the same line graph maker, add smooth curves, or use step lines for discrete period changes. An area chart fills the region under the line so volume is easier to see; it is still a time series, not a new axis type. See also What is a line chart?.

Bar and Column Charts: Comparing Categories

Use bar charts when you are comparing categories such as products, regions, or teams. Use column charts (vertical bars) when category names are short and you have a modest number of items. Horizontal bars help when labels are long.

Good for: Sales by region, top 10 items, survey answer counts, before/after comparisons.

You can stack bars to show composition or group them to compare multiple series side by side. Stacked bars answer “what makes up the total?”; grouped bars answer “how do series differ within each category?”

For a hands-on workflow, open the bar graph maker or read What is a bar chart?.

Pie and Donut: Parts of a Whole

Pie and donut charts show proportions when you have a small number of segments (roughly 2–7) and the total is meaningful.

Good for: Market share, budget breakdown, a short survey response mix.

Avoid too many slices, similar slice sizes that are hard to rank, and 3D effects that distort angles. If readers need to compare exact values across many categories, a sorted bar chart communicates more reliably. More detail: What is a pie chart?.

Scatter, Bubble, Histogram, and Box Plot

Use a scatter plot when both axes are numeric and you care about relationship, clusters, or outliers. Read the definition in What is a scatter plot?, then plot points in the scatter plot generator.

A bubble chart is that same x-y plot with circle size for a third number. It is the wrong tool for a mind map. Open the bubble chart maker only when the third value changes the decision.

A histogram bins one continuous measure and uses bar height as frequency. It is not a bar chart of named categories. Build it in the histogram maker.

A box plot compresses a distribution into median, quartiles, whiskers, and outliers. See What is a box plot? and the box and whisker plot maker.

Use a heatmap when you have a dense matrix (hour by weekday, feature by segment) and want color to show intensity.

These charts are weaker for ranked category comparisons. If the question is which region sold the most, start with bars.

The horizontal and vertical axes are not interchangeable. X axis and y axis explains which measure belongs on each one.

Funnel, Sankey, and Flow Charts

A funnel shows stage-by-stage drop-off in a linear process such as awareness → trial → purchase. It is a strong choice when stages are ordered and you care about conversion loss.

A sankey diagram shows how quantity moves between nodes—budget allocations, traffic sources to landing pages, or energy flows. Choose sankey when relationships between many nodes matter more than a single ranked list.

If you only need one conversion rate between two steps, a simple KPI or two bars may be enough.

Hierarchy: Treemap and Sunburst

Treemaps use nested rectangles to show hierarchy and relative size at once—useful for portfolio weight, disk usage, or budget trees.

Sunburst charts use concentric rings for the same hierarchical idea with a radial layout. Both work best when parent/child structure is real and leaf sizes vary enough to be visible. Deep trees with tiny leaves become hard to label; consider aggregating small nodes.

Radar and Multi-Dimension Profiles

A radar chart compares several scores for one or more items on a shared scale. People also call the shape a spider chart. Keep the number of spokes moderate. For a definition, read What is a radar chart?, then build the profile in the radar chart maker. For a single metric across many categories, bars remain clearer.

A Practical Decision Checklist

  1. Write the question the chart must answer in one sentence.
  2. Identify whether the main field is time, category, two numbers, hierarchy, or flow.
  3. Count categories and series; reduce until the chart stays readable on a slide.
  4. Prefer position and length encodings (bars, lines) unless another shape clearly fits the question.
  5. Label units, sort categories with intent, and remove decoration that does not aid comparison.
  6. Export at the size you will present—tiny labels that work on a desktop editor may fail on a projector.

Common Mistakes to Avoid

  • Using a line chart for unordered categories. That invents a false sequence.
  • Pie charts with too many slices. Readers cannot compare angles accurately.
  • Dual axes that exaggerate weak relationships. If you must combine metrics, make the dual-axis choice explicit and rare.
  • Rainbow color for sequential data. Use a coherent sequential or diverging palette instead.
  • Starting bar axes above zero when length encodes magnitude. Truncated axes can mislead.
  • Choosing a chart because it looks novel. Novelty is not a visualization goal.

From Choice to Chart in BeCharts

Once you know the chart family:

  1. Open a matching template from the template gallery or a dedicated maker page.
  2. Replace sample data via paste, CSV/Excel import, or the AI-assisted dataset helper.
  3. Adjust colors, axes, legends, and labels until the comparison is obvious without explanation.
  4. Export PNG, SVG, or PDF for slides, docs, or the web.

If you are still unsure between two types, build both quickly and keep the one that answers your sentence faster. That empirical check beats memorizing every rule.

Choosing a chart is a product decision as much as a design decision: pick the encoding that matches the question, keep the series count honest, and let the data—not the decoration—carry the message.

Frequently asked questions

How do I choose a chart type?

Write the question the chart must answer, then match it to a comparison: bars for categories, lines for change over time, pie for a few shares of one whole, scatter for two numeric measures, and a Sankey or funnel for flow.

Which chart should I use for categories versus time?

Use a bar chart for categories such as products or regions. Use a line chart when the axis is time or another ordered sequence.

What are the main types of charts?

Bars compare categories, lines show change over time, pies show a few shares of one total, scatter plots compare two numbers, histograms and box plots show spread, and Sankey diagrams show flow.

Where can I try these chart types in BeCharts?

The template gallery lists 21 chart types and 100+ layouts. You can import CSV, paste spreadsheet rows, or use the AI assistant, then export PNG, SVG, or PDF without an account. https://www.becharts.com/templates

Try in BeCharts

Browse chart templates by type or jump into the editor to try a line chart with sample data loaded.