示例 CSV
| Term | Mentions |
|---|---|
| customer service | 142 |
| shipping delay | 98 |
| refund | 76 |
| packaging | 54 |
| out of stock | 41 |
| size chart | 33 |
| live chat | 29 |
| return label | 22 |
How to Create a Word Cloud
A step by step walkthrough for turning a list of words and counts into a published word cloud in PlotSet, from counting the terms to exporting the finished image.
约 8 分钟This guide walks through how to create a word cloud in PlotSet from your own list of terms, not a demo dataset: sized on purpose, rotated on purpose, then embedded on a page or exported as an image once you're happy with it. What actually trips people up is not PlotSet itself, it is what happens before you ever open the template, so this guide spends real time on that step.
Five minutes if you already have a clean two-column list, word and count. Starting from raw text, survey answers, support tickets, a stack of comments, anything not yet counted, adds another five to ten. Treat the eight minutes below as the ceiling and counting as the part that decides whether the cloud is any good.
你需要的数据
Two columns, one row per term: the word or phrase first, its weight second. No running text, no duplicate terms, one header row.
The template wants terms already counted. If your source is raw text (a column of open-ended survey answers, say), run a pivot table or COUNTIF on it first: PlotSet sizes words by the number you give it, it does not read paragraphs and tally them for you.
Keep multi-word phrases as single cells, like "customer service" or "out of stock". If you split them into separate words before counting, you lose the phrase and end up with two vaguer terms instead of one useful one.
Remove stop words ("the", "and", "a") and any filler specific to your dataset before you count, not after. In support tickets, words like "issue" or "problem" are usually as empty as "the" and worth stripping too.
One row per term. If "refund" appears twice with two different counts, PlotSet will chart both rows rather than merging them, so combine duplicates in your spreadsheet first.
操作步骤
PlotSet 中从空白模板到完成图表的具体点击路径。
- 01
Count your terms before you open PlotSet
This is the step that actually determines the quality of the cloud. Take your raw text, whether it is survey responses, ticket subjects or comments, and produce a two-column count: term, then how many times it appears. A pivot table or a COUNTIF formula does this in a few minutes for most spreadsheets.
- 02
Strip stop words and dataset-specific filler
Remove "the", "and", "a" and their relatives, then look at your top ten terms again. Every corpus has its own version of filler: in product reviews it might be "item" or "product", words that appear everywhere and mean nothing on their own.
- 03
Open the Word Cloud template
From the PlotSet dashboard, start a new project and choose the Word Cloud template. It loads with sample terms and weights already in place, so you can see the exact two-column shape it expects before your own file goes anywhere near it.
每份指南都从这里开始：先选分类，再选模板，不管你要做哪种图表，用的都是同一个网格。 - 04
Upload or paste your two columns
Import a CSV or .xlsx file, paste the rows straight from your spreadsheet, or connect a Google Sheet if you want the cloud to stay live as you keep counting. PlotSet reads the first row as headers automatically.
这里的数据视图取自一个条形图项目。你可以上传 CSV、用「Magic Import」从图片里提取数字，或同步 Google Sheet，每种图表类型的面板都一样。 - 05
Map the word column and the weight column
Bind the text column to the term and the number column to the size. This is usually correct on its own when your headers say something like "Term" and "Mentions", but check it if your sheet carries extra columns PlotSet had to guess between.
绑定决定哪一列作标签、哪一列提供数值、哪一列决定颜色。「Auto Binding」（自动绑定）会根据表头推测，所以要核对一遍，别想当然。 - 06
Set the font size range
The minimum and maximum size decide how dramatic the contrast is between your smallest and largest term. Widen the gap if one or two terms genuinely dominate; narrow it if your counts are closer together and a wide range would just look noisy.
- 07
Set the rotation and colour
Rotation angles trade a tighter layout for slower reading, so 0 and 90 degrees only, or no rotation at all, is the easier choice to read. Pick a colour gradient; unless you are mapping a second value to it, treat it as decoration and keep it simple.
Word Cloud 的「Preview」标签页。所有样式设置都在红框标出的这个面板里，每个设置各自占一个标签页：外观、标题、脚注，以及这种图表类型特有的选项。 - 08
Publish, embed or export the cloud
Publish for a live, shareable cloud, grab the embed code for a page, or export a PNG, SVG or PDF for a deck. Choose SVG if the image is going into print or will be scaled up, since the words stay sharp instead of pixelating.
从已加载示例数据的 Word Cloud 模板开始，再替换成你自己的数据。
打开模板发布、嵌入或导出
最后一段路对每种图表都一样：「Share」（分享）把图表变成一个在线的公开链接和一段嵌入代码，「Export」（导出）把它输出成静态文件。
Share：公开链接与嵌入代码
打开嵌入代码和公开链接的开关，图表就发布出去了。链接可以放心发给任何人；嵌入代码以 iframe 的形式放进任意页面，悬停提示和交互效果都会保留。之后修改了图表，点「Recreate」就能把改动同步到链接和嵌入代码两边。
Export：SVG、PNG 或 JPG
「Export」会按你需要的尺寸输出一份静态副本。SVG 放到多大都清晰，还能在设计工具里继续编辑；幻灯片和文档用 PNG 或 JPG 最稳妥。想让图片在高分屏上够锐利，关键就是那个倍数设置。
Word Cloud 的样式提示
Keep phrases as single terms
"Climate change" counted as one term carries a different, more useful signal than "climate" and "change" counted apart. Decide which phrases matter to you before you count, not after you have already split everything into single words.
Turn rotation down before you turn it up
Free-angle rotation packs more words into the same space, but every rotated word costs the reader a beat to read. Start with rotation off, look at how much white space is left, and only add angles if the layout genuinely needs them.
Cap the list around fifty to a hundred terms
Somewhere past a hundred, the smallest words are too tiny to read and are only there to fill gaps. Trim your count list to the terms that carry the story, usually the top fifty to a hundred by weight, before uploading.
Publish the counts somewhere, even if not on the cloud itself
A cloud cannot tell a reader that "refund" appeared 76 times versus 74, and it should not try to. Keep a caption, a footnote or a linked table with the real numbers for anyone who wants to check the sizing rather than just feel it.
制作 Word Cloud 时的常见错误
The biggest word on the chart is "the" or "and"
A stop word made it into your count list before you filtered it out. Go back to the source spreadsheet, remove the stop words and any dataset-specific filler, and re-upload rather than trying to fix it inside PlotSet.
The same word shows up twice at two different sizes
This means your count list has duplicate rows for one term, usually from inconsistent capitalization ("Refund" versus "refund") or a trailing space. Merge the rows in your spreadsheet, ideally with a TRIM and a case-normalizing formula, then re-upload.
Every word comes out roughly the same size
Your counts are too close together for font size to show any real difference, which usually means your top terms are all within a factor of two of each other. Either widen the size range in the chart settings, or accept that this dataset is better shown as a ranked bar chart.
深入了解 Word Cloud
不确定 Word Cloud 是否是正确选择？查看它是什么、何时使用以及何时不使用。
Word Cloud：常见问题
Count your terms into two columns first, word and weight, since PlotSet sizes words by the number you give it rather than counting raw text itself. Then open the Word Cloud template, upload or paste the file, confirm the column mapping, and publish.
现在制作你的 Word Cloud
免费开始，300+ 模板任选。无需信用卡。