从(古老的)SAS 版本 6 中读取 .ssd01 数据文件(对于 Python/R)
Read a .ssd01 data file from (ancient) SAS Version 6 (for Python/R)
在分析来自 somewhat old academic paper 的一些数据时,我收到了一些由更老的软件生成的数据文件,即 20 多年前的 SAS 版本 6(.ssd01
扩展名) .
您如何将此文件转换为现代格式以便使用 R、Python 等进行分析?如果该过程不需要获得 SAS 许可证或其他商业软件,则奖励(奖励)积分。
提示:
- Reading SAS® data sets with a filename extension such as .ssd01 or .ssd
- pandas 有一个
read_sas
method,但仅适用于 SAS 版本 7 数据和更新版本 (*.sas7bdat
)
- R 对
.sas7bdat
具有类似的导入功能,但这也不适用于此版本:
这是文件,以防有人想弄脏他们的手(不,它们不是病毒,只是上述文件中的数据):
我刚刚从 https://www.stattransfer.com 抓取了该软件的 Windows 64 位版本的演示版本,并将其应用于您的第一个文件,要求输出 csv。这是结果的前几行。
"TIME","PLAYERID","PLAY","PAY","N1","N1PLAY","N1PAY","N2","N2PLAY","N2PAY","N3","N3PLAY","N3PAY","N4","N4PLAY","N4PAY","NN","N5","N5PLAY","N5PAY","N6","N6PLAY","N6PAY","N7","N7PLAY","N7PAY","ACTION","N1ACT","N2ACT","N3ACT","N4ACT","N5ACT","N6ACT","N7ACT","NETWORK","GAME","SESSION","LAGACTON","N1ACTO","N2ACTO","N3ACTO","N4ACTO","N5ACTO","N6ACTO","N7ACTO","ACTS","LAGACTS","PROPORT","LAGPROP","GRAPH","CLUSTER","LENGHT"
2,0,"B",3.2,1,"A",2,2,"A",2,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,1,0,1,,,,"local","co","colc1fir",,1,1,0,1,0,0,0,3,,0.75,,"local",0.5,2.647
3,0,"A",0.5,1,"B",2.5,2,"B",2.5,17,"B",2.5,16,"A",0.5,4,,"",,,"",,,"",,1,0,0,0,1,,,,"local","co","colc1fir",0,0,0,0,1,0,0,0,1,3,0.25,0.75,"local",0.5,2.647
4,0,"B",2.5,1,"A",-1,2,"B",1.8,17,"B",3.2,16,"A",0.5,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",1,1,0,0,1,0,0,0,2,1,0.5,0.25,"local",0.5,2.647
5,0,"B",2.5,1,"B",2.5,2,"A",-1,17,"A",0.5,16,"B",3.2,4,,"",,,"",,,"",,0,0,1,1,0,,,,"local","co","colc1fir",0,0,1,1,0,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
6,0,"A",2,1,"B",2.5,2,"A",2,17,"B",3.2,16,"A",3.5,4,,"",,,"",,,"",,1,0,1,0,1,,,,"local","co","colc1fir",0,0,1,0,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
7,0,"B",1.8,1,"B",1.8,2,"B",2.5,17,"B",2.5,16,"A",2,4,,"",,,"",,,"",,0,0,0,0,1,,,,"local","co","colc1fir",1,0,0,0,1,0,0,0,1,2,0.25,0.5,"local",0.5,2.647
8,0,"A",2,1,"B",2.5,2,"B",2.5,17,"A",3.5,16,"A",3.5,4,,"",,,"",,,"",,1,0,0,1,1,,,,"local","co","colc1fir",0,0,0,1,1,0,0,0,2,1,0.5,0.25,"local",0.5,2.647
9,0,"B",2.5,1,"B",1.8,2,"B",1.8,17,"A",2,16,"A",3.5,4,,"",,,"",,,"",,0,0,0,1,1,,,,"local","co","colc1fir",1,0,0,1,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
10,0,"B",1.8,1,"B",1,2,"B",1.8,17,"B",2.5,16,"A",2,4,,"",,,"",,,"",,0,0,0,0,1,,,,"local","co","colc1fir",0,0,0,0,1,0,0,0,1,2,0.25,0.5,"local",0.5,2.647
11,0,"B",3.2,1,"A",0.5,2,"B",1.8,17,"A",3.5,16,"A",3.5,4,,"",,,"",,,"",,0,1,0,1,1,,,,"local","co","colc1fir",0,1,0,1,1,0,0,0,3,1,0.75,0.25,"local",0.5,2.647
12,0,"B",2.5,1,"A",0.5,2,"B",2.5,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",0,1,0,0,1,0,0,0,2,3,0.5,0.75,"local",0.5,2.647
13,0,"B",2.5,1,"A",0.5,2,"B",3.2,17,"B",3.2,16,"A",0.5,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",0,1,0,0,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
14,0,"B",3.2,1,"A",2,2,"A",3.5,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,1,0,1,,,,"local","co","colc1fir",0,1,1,0,1,0,0,0,3,2,0.75,0.5,"local",0.5,2.647
我不知道这有多好! :) 不,我与任何制造或营销此产品的公司无关。而且,不,我以前从未尝试过。你现在(几乎)知道我所做的一切。
祝你好运。
在分析来自 somewhat old academic paper 的一些数据时,我收到了一些由更老的软件生成的数据文件,即 20 多年前的 SAS 版本 6(.ssd01
扩展名) .
您如何将此文件转换为现代格式以便使用 R、Python 等进行分析?如果该过程不需要获得 SAS 许可证或其他商业软件,则奖励(奖励)积分。
提示:
- Reading SAS® data sets with a filename extension such as .ssd01 or .ssd
- pandas 有一个
read_sas
method,但仅适用于 SAS 版本 7 数据和更新版本 (*.sas7bdat
) - R 对
.sas7bdat
具有类似的导入功能,但这也不适用于此版本:
这是文件,以防有人想弄脏他们的手(不,它们不是病毒,只是上述文件中的数据):
我刚刚从 https://www.stattransfer.com 抓取了该软件的 Windows 64 位版本的演示版本,并将其应用于您的第一个文件,要求输出 csv。这是结果的前几行。
"TIME","PLAYERID","PLAY","PAY","N1","N1PLAY","N1PAY","N2","N2PLAY","N2PAY","N3","N3PLAY","N3PAY","N4","N4PLAY","N4PAY","NN","N5","N5PLAY","N5PAY","N6","N6PLAY","N6PAY","N7","N7PLAY","N7PAY","ACTION","N1ACT","N2ACT","N3ACT","N4ACT","N5ACT","N6ACT","N7ACT","NETWORK","GAME","SESSION","LAGACTON","N1ACTO","N2ACTO","N3ACTO","N4ACTO","N5ACTO","N6ACTO","N7ACTO","ACTS","LAGACTS","PROPORT","LAGPROP","GRAPH","CLUSTER","LENGHT"
2,0,"B",3.2,1,"A",2,2,"A",2,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,1,0,1,,,,"local","co","colc1fir",,1,1,0,1,0,0,0,3,,0.75,,"local",0.5,2.647
3,0,"A",0.5,1,"B",2.5,2,"B",2.5,17,"B",2.5,16,"A",0.5,4,,"",,,"",,,"",,1,0,0,0,1,,,,"local","co","colc1fir",0,0,0,0,1,0,0,0,1,3,0.25,0.75,"local",0.5,2.647
4,0,"B",2.5,1,"A",-1,2,"B",1.8,17,"B",3.2,16,"A",0.5,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",1,1,0,0,1,0,0,0,2,1,0.5,0.25,"local",0.5,2.647
5,0,"B",2.5,1,"B",2.5,2,"A",-1,17,"A",0.5,16,"B",3.2,4,,"",,,"",,,"",,0,0,1,1,0,,,,"local","co","colc1fir",0,0,1,1,0,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
6,0,"A",2,1,"B",2.5,2,"A",2,17,"B",3.2,16,"A",3.5,4,,"",,,"",,,"",,1,0,1,0,1,,,,"local","co","colc1fir",0,0,1,0,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
7,0,"B",1.8,1,"B",1.8,2,"B",2.5,17,"B",2.5,16,"A",2,4,,"",,,"",,,"",,0,0,0,0,1,,,,"local","co","colc1fir",1,0,0,0,1,0,0,0,1,2,0.25,0.5,"local",0.5,2.647
8,0,"A",2,1,"B",2.5,2,"B",2.5,17,"A",3.5,16,"A",3.5,4,,"",,,"",,,"",,1,0,0,1,1,,,,"local","co","colc1fir",0,0,0,1,1,0,0,0,2,1,0.5,0.25,"local",0.5,2.647
9,0,"B",2.5,1,"B",1.8,2,"B",1.8,17,"A",2,16,"A",3.5,4,,"",,,"",,,"",,0,0,0,1,1,,,,"local","co","colc1fir",1,0,0,1,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
10,0,"B",1.8,1,"B",1,2,"B",1.8,17,"B",2.5,16,"A",2,4,,"",,,"",,,"",,0,0,0,0,1,,,,"local","co","colc1fir",0,0,0,0,1,0,0,0,1,2,0.25,0.5,"local",0.5,2.647
11,0,"B",3.2,1,"A",0.5,2,"B",1.8,17,"A",3.5,16,"A",3.5,4,,"",,,"",,,"",,0,1,0,1,1,,,,"local","co","colc1fir",0,1,0,1,1,0,0,0,3,1,0.75,0.25,"local",0.5,2.647
12,0,"B",2.5,1,"A",0.5,2,"B",2.5,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",0,1,0,0,1,0,0,0,2,3,0.5,0.75,"local",0.5,2.647
13,0,"B",2.5,1,"A",0.5,2,"B",3.2,17,"B",3.2,16,"A",0.5,4,,"",,,"",,,"",,0,1,0,0,1,,,,"local","co","colc1fir",0,1,0,0,1,0,0,0,2,2,0.5,0.5,"local",0.5,2.647
14,0,"B",3.2,1,"A",2,2,"A",3.5,17,"B",3.2,16,"A",2,4,,"",,,"",,,"",,0,1,1,0,1,,,,"local","co","colc1fir",0,1,1,0,1,0,0,0,3,2,0.75,0.5,"local",0.5,2.647
我不知道这有多好! :) 不,我与任何制造或营销此产品的公司无关。而且,不,我以前从未尝试过。你现在(几乎)知道我所做的一切。
祝你好运。