问题
对数据分析相关技能,你最推荐的学习材料是?请注明技能、推荐阶段和推荐理由。如:
回答
《利用 Python 进行数据分析》 @reynd
技能: Python 数据分析
阶段: 入门
理由: 作者经验丰富行文简洁有条理,看一遍就能上手主流的数据分析工具。
有 n 个人围成一圈,顺序排号。从第一个人开始报数(从 1 到 3 报数),凡报到 3 的人退出圈子,问最后留下的是原来第几号的那位。
跟群名似乎无关,但是感觉挺好玩 🤪
C 语言模拟 @capwill2
1 |
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Suppose we a data set where each data point represents a single student’s scores on a math test, a physics test, a reading comprehension test, and a vocabulary test.
We find the first two principal components, which capture 90% of the variability in the data, and interpret their loadings. We conclude that the first principal component represents overall academic ability, and the second represents a contrast between quantitative ability and verbal ability.
What loadings would be consistent with that interpretation? Choose all that apply.
a. (0.5, 0.5, 0.5, 0.5) and (0.71, 0.71, 0, 0)
b. (0.5, 0.5, 0.5, 0.5) and (0, 0, -0.71, -0.71)
线性混合效应模型,公式 Y ~ 1 + A + B + (1 | C:D:E),数字 1 和符号 | 各代表什么含义?这种公式怎么理解呢?
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