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How to Create a Histogram

A step by step walkthrough for turning a spreadsheet into a published histogram in PlotSet, from shaping your data to setting the bin width and exporting or embedding the finished chart.

约 8 分钟

One raw column of numbers is all it takes to learn how to create a histogram in PlotSet: upload it, and you end with a published, interactive chart you can embed or hand off as an image. You'll upload your own observations, not the sample data the template loads with, going through the same click path a real PlotSet chart takes from upload to publish.

Budget about eight minutes if your column is already clean: one header, one number per row, no blanks. Add a few more if you're pulling that column out of a wider export or a pivot table, since a histogram needs raw observations, not something you've already counted or bucketed by hand.

你需要的数据

One numeric column of raw, unsummarized observations: one row per measurement, a single header row, no totals and no pre-counted buckets.

示例 CSV
TicketIdResponseTimeMinutes
14
27
35
412
59
66
721
88
95
1014
113
1210
备注

PlotSet only bins the numeric column, so an id or ticket number sitting next to it is fine. What it can't use is a column of pre-counted totals, one row per bracket instead of one row per ticket.

This has to be raw observations: one row per response, not a count of how many tickets fell into each time bracket. If your sheet already looks like that, you've built a bar chart, not a histogram.

Strip stray units and commas before uploading. A cell that reads '12 min' or '1,200' imports as text, and PlotSet will treat it as a category instead of a number.

Blank cells are excluded from the count rather than treated as zero. That's usually what you want, but a blank caused by a stray space or a typo is easy to miss, so scan the column before you upload.

操作步骤

PlotSet 中从空白模板到完成图表的具体点击路径。

  1. 01

    Pick the Histogram template

    From the PlotSet dashboard, start a new project and choose the Histogram template. It loads with a sample column of numbers already in place, so you can see the shape PlotSet expects (one column, one row per observation) before you touch your own file.

    PlotSet 的模板选择界面:左侧是图表分类列表,中间展开 Bar Charts 分类的模板网格,Bar Chart 模板卡片上显示「Select」按钮。
    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。
  2. 02

    Shape your sheet down to one raw column

    Pull out the single numeric column you want the distribution of: response times, order values, exam scores, whatever you're measuring. Delete any row that isn't an individual observation, including a subtotal row or a bracket you've already counted by hand.

  3. 03

    Upload your file or connect a sheet

    Use the data panel to import a CSV or .xlsx file, paste the column straight from a spreadsheet, or connect a Google Sheet if you want the chart to update later without a re-upload. PlotSet reads the first row as a header automatically.

    PlotSet 编辑器的数据视图:表格中 Name、Value、Region 三列填着加拿大各省的数据,旁边的「Data」面板提供 CSV 上传、「Magic Import」和 Google Sheet 同步。
    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。
  4. 04

    Map the numeric column

    Confirm which column PlotSet is binning. This is usually automatic when the header is clear, but check it manually if your sheet still has an id or date column sitting next to the numbers, since one of those getting picked up by mistake will wreck the bins.

    PlotSet 数据面板中高亮的列绑定:「Label/time」对应 A 列,「Values」对应 B 列,「Filter/color」对应 C 列,下方是「Auto Binding」按钮。
    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。
  5. 05

    Set the bin width

    This is the one setting that changes the story, so don't leave it on the automatic default without looking. Try two or three widths and watch the shape change: too wide flattens a second peak into one hump, too narrow turns ordinary noise into what looks like a feature. Land on a round number a reader can hold in their head, 5 minutes, 10 points, 1000 dollars, rather than whatever the automatic rule produces.

  6. 06

    Label the axes and add a title

    Turn on the frequency axis label so it's clear the bars are counts, not raw values, and state the bin width somewhere in the title or a caption, such as 'Response time, 5 minute bins.' That single line saves a reader from misreading the chart.

    PlotSet 编辑器停在「Preview」标签页:画布上是做好的 Histogram,右侧的设置面板用红框标出。
    Histogram 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。
  7. 07

    Publish the histogram, or export it as an image

    Publish for a live, interactive chart with hover counts on each bin and a shareable link, grab the embed code for a page, or export a PNG, SVG or PDF if you need a static image for a deck.

从已加载示例数据的 Histogram 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。

PlotSet 编辑器工具栏中高亮的「Share」按钮,紧挨着「Export」按钮。
点「Share」,完成的图表就会变成一个公开链接和一段嵌入代码。
PlotSet 的「Share」对话框:用于启用嵌入代码和公开链接的开关,「Link」「Embed」「Facebook」「Reddit」「Twitter」「LinkedIn」「Email」几个按钮,以及带「Copy」按钮的图表公开链接。
打开嵌入代码和公开链接的开关,然后复制链接或取用 iframe。之后再修改图表,点「Recreate」就能把改动同步给所有已拿到链接的人。

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。

PlotSet 编辑器工具栏中高亮的「Export」按钮。
要做成幻灯片或报告里的静态文件,就走「Export」这条路。
PlotSet 的「Export chart」对话框:倍数选择器设为 2x,宽高输入框填的是 1000 和 600,展开的格式菜单里列出 SVG、PNG 和 JPG。
SVG 放到多大都清晰,还能在设计工具里继续编辑;做幻灯片用 PNG 或 JPG 最稳妥。导出前先设好倍数,图片在高分屏上才够锐利。

Histogram 的样式提示

Favor round bin widths over the automatic default

PlotSet will suggest a bin width based on your data, and it's a reasonable starting point, not a final answer. A width of 5, 10 or 25 is far easier for a reader to interpret than 7.3, even when the automatic number technically fits the data better.

Start the frequency axis at zero

Bar height is the encoding here just as it is on a bar chart, so a truncated frequency axis exaggerates every gap between bins. If two bins look close in height, add count labels rather than zooming the axis in.

Keep the bin count somewhere between ten and thirty

Fewer than ten bins and you lose the shape; more than thirty and every bar gets thin enough that the eye can't compare neighbours. If your data needs finer resolution than that to tell its story, a KDE curve, or a second chart split by group, usually serves better.

Reach for the KDE overlay when the bars look noisy

If the bar heights wobble no matter which width you try, add the smooth density curve instead of fighting the bins. It shows the underlying trend without depending on where an edge happens to fall, and it's one setting away from the plain histogram template.

制作 Histogram 时的常见错误

The bars have gaps between them, like a bar chart

This almost always means PlotSet is reading your numeric column as text: a stray unit ('12 min'), a thousands comma ('1,200'), or a leading character from a spreadsheet export. Clean the column down to plain numbers and remap it, and the bars should close up into a continuous scale.

One bar sits far out on its own, off to the right

Check that row for a data entry mistake before treating it as a real outlier: an extra zero, a unit typo, or a value copied from the wrong column. If it turns out to be genuine, keep it and either widen the bin width or annotate the tail, rather than deleting it to tidy the chart.

The bar count doesn't match how many rows you uploaded

That usually means the sheet was already summarized, one row per bracket with a count column, rather than one row per observation. Go back to the raw data: a histogram needs to do its own counting, so feeding it pre-counted brackets produces a chart of your bins, not the data's actual distribution.

深入了解 Histogram

不确定 Histogram 是否是正确选择?查看它是什么、何时使用以及何时不使用。

关于 Histogram

Histogram:常见问题

One column of raw numbers, one row per observation, with a single header row. PlotSet does its own counting into bins, so don't pre-summarize the data into brackets first. An id or date column next to the numbers is fine; PlotSet just ignores it when it bins the numeric column.

现在制作你的 Histogram

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