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Manuel Veiga's questions

Martin Hope
Manuel Veiga
Asked: 2023-10-04 16:06:28 +0800 CST
  • 6

我正在处理一个类似这样的数据集，我有兴趣了解血压如何影响某些患者。

df = {'Person ID': [1,2,3,4,5,6,7,8], 
      'BMI': ['Overweight','Normal','Normal','Obese','Obese','Underweight','Normal','Obese'], 
      'Sleep Disorder': ['Insomnia',float('nan'),float('nan'),'Sleep Apnea','Sleep Apnea',float('nan'),float('nan'),'Insomnia'],
'Illness':['Ill', 'Healthy','Healthy','Ill','Ill','Healthy','Healthy','Ill'],
'Blood Pressure': ['125/82','132/87','128/85','126/83','126/83','115/78','139/91','142/92']}

输出：

   Person ID          BMI Sleep Disorder  Illness Blood Pressure   Sleep Duration
0          1   Overweight       Insomnia      Ill         125/82              6.1
1          2       Normal            NaN  Healthy         132/87              6.2
2          3       Normal            NaN  Healthy         128/85              6.2
3          4        Obese    Sleep Apnea      Ill         126/83              5.9
4          5        Obese    Sleep Apnea      Ill         126/83              5.9
5          6  Underweight            NaN  Healthy         115/78              8.1
6          7       Normal            NaN  Healthy         139/91              8.1
7          8        Obese       Insomnia      Ill         142/92              8.1

主要问题是它既Blood Pressure不是 Int 也不是 Float 那么我如何测量相关性或者哪种相关性可以用来"Ill"与"Healthy"人进行比较？

这个想法是复制这个：

graph_bp = sns.scatterplot(data = sleep_dataset, x = "Blood Pressure", y = "Sleep Duration", hue = "Health State")
graph_bp.set_title("Relation between age and sleep duration")
graph_bp.set_xlabel("Blood Pressure")
graph_bp.set_ylabel("Sleep Duration")
cor_bp = sleep_dataset["Blood Pressure"].corr(sleep_dataset["Sleep Duration"])
print("Correlation with age: " + str(cor_bp))

获取有关血压的一些信息，但没有关联的 int。一个想法是将最高值和最低值分开并进行差异，但这似乎不是一个好主意，因为它会说一个具有 140/100 的人与一个 100/60 相同，你会如何做图形是这样的吗？

pandas
Martin Hope
Manuel Veiga
Asked: 2023-08-17 17:32:57 +0800 CST
  • 4

我正在了解 Datacamp 中的 seaborn 包，文档中包含的文件之一是“tips.csv”，它属于存储库 [https://github.com/mwaskom/seaborn-data][1]我在其他帖子中找到了。

我正在尝试在 VSCode 上加载数据集“tips.csv”，但它会引发以下错误：

ValueError: 'tips.csv' is not one of the example datasets.```


  [1]: https://github.com/mwaskom/seaborn-data

> How can I solve this, as it is available in the link provided? I think
> it is not detecting the website, but I have internet connection.
python