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最小值、最大值和四分位数

读取数据范围和百分位数

最小值、最大值和四分位数 是 CoddyKit 上的免费 Data Science Academy 课时。 这是第 3 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Data Science Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Data Science Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

The Edges of Your Data

Center and spread leave out the extremes. Knowing the smallest and largest values frames the range your data can possibly take. 🔭

Min and Max

The min is the lowest value and the max is the highest. They are your first guard against typos like a negative age or an impossible price.

df["age"].min(), df["age"].max()

The Range

Subtract min from max and you get the range, the total width of your data. It is simple but easily wrecked by a single extreme value.

Splitting Sorted Data

Sort your values and cut them into four equal parts. The three cut points are your quartiles, and they describe the data far more robustly.

Q1, the First Quartile

The first quartile Q1 is the 25th percentile. One quarter of your values fall below it, marking the bottom of the bulk.

Q2 Is the Median

The second quartile Q2 is the 50th percentile, which is exactly the median you already met. Half the data sits on each side of it.

Q3, the Third Quartile

The third quartile Q3 is the 75th percentile. Three quarters of values fall below it, so only the top slice lies above.

Asking for a Percentile

The quantile method gives you any cut point you want. Pass 0.25 for Q1 or 0.75 for Q3 directly on a column.

df["score"].quantile(0.75)

The Interquartile Range

Subtract Q1 from Q3 and you have the IQR, the spread of the middle half. It ignores the extremes, so outliers cannot inflate it.

The Five-Number Summary

Min, Q1, median, Q3, and max form the five-number summary. Together they sketch the full shape of a distribution in just five values.

Already in describe

You do not compute quartiles by hand. The describe output lists the 25, 50, and 75 percent rows for every numeric column.

df.describe()

Quick Check

You want a spread measure that ignores extreme values entirely.

Recap: Range and Quartiles

You can now read the edges with min and max and the inner structure with quartiles and IQR. Five numbers describe a whole distribution. 📊

常见问题解答

「最小值、最大值和四分位数」课时是免费的吗？

是的 — 「最小值、最大值和四分位数」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Data Science Academy 课程的其余内容，请升级到 CoddyKit PRO。 Data Science Academy 课程共包含 4 节课。

「最小值、最大值和四分位数」这节课中我会学到什么？

读取数据范围和百分位数 你通过在浏览器中直接运行的动手代码来练习 Data Science Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Data Science Academy 需要有经验吗？

无需任何先前经验。CoddyKit 上的 Data Science Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 3 节课，共 4 节。

「最小值、最大值和四分位数」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

我能在这节 Data Science Academy 课中编写并运行代码吗？

能。每节 Data Science Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. 均值、中位数和众数
  2. 离散程度：方差和标准差
  3. 最小值、最大值和四分位数
  4. 离群值及其含义
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