恶性肿瘤与医疗人员数据集

数据集获取

git clone https://github.com/rstats-tartu/datasets.git

curl -L -o repo.zip https://github.com/rstats-tartu/datasets/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

Downloading files from datasets repository

We had problem with reading quiz.csv file directly from its GitHub url:

library(readr)
url <- "https://raw.githubusercontent.com/rstats-tartu/datasets/master/quiz.csv"
quiz <– read_csv(url)

For some people using read_csv() directly with url gave an error.
Here’'s simple workaround: first download this quiz.csv file and then import to R, see below.

Get file url.
Click on the file name you want to download.
You need to see raw contents of the file.
Find button “Raw” and click on it, you will see raw text.
Copy url from browser.

Download file.
First, we create folder called “data” to host all necessary data files.

dir.create("data")

Function will issue a warning when dir already exists.

First download file into “data” directory:

download.file(url, "data/quiz.csv")

Read file:

library(readr)
library(dplyr)

quiz <- read_csv("data/quiz.csv")
quiz

This can be used with all other files too.
Just change url and file name accordingly.

Imported quiz data needs some munging:

colnames(quiz) <- c("time","education", "supervision", "stats_course",
                    "analysed_data", "proficiency", "junk", "plan_before",
                    "decide_after","publication_bias","publish_all",
                    "collect_more","different_method")


## 数据加载示例（表格/文本类）

```python
import pandas as pd, glob, os

files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))

完整仓库：github.com/rstats-tartu/datasets