my single prompt
This is my data and the codebook. Create a variable dictionary. Use the pdf i shared earlier. Output as markdown. For each variable: varname, labels, type, coverage (% missing), mean and mode. Round up numbers. Look at cps and provide short labels. Get me an .md I can download.
Variable dictionary
| …1 |
int64 |
0% |
197435.3 |
83378 |
| hhid |
int64 |
0% |
404953427059356.6 |
250109964300640 |
| intmonth |
object |
0% |
NA |
December |
| stfips |
object |
0% |
NA |
FL |
| weight |
float64 |
0% |
2550.8 |
291.4682 |
| earnwke |
float64 |
0% |
933.7 |
2884.61 |
| uhours |
int64 |
0% |
39.4 |
40 |
| grade92 |
int64 |
0% |
41.0 |
39 |
| race |
int64 |
0% |
1.5 |
1 |
| ethnic |
float64 |
89% |
3.8 |
1.0 |
| age |
int64 |
0% |
41.0 |
44 |
| sex |
int64 |
0% |
1.5 |
2 |
| marital |
int64 |
0% |
3.6 |
1 |
| ownchild |
int64 |
0% |
0.6 |
0 |
| chldpres |
int64 |
0% |
1.6 |
0 |
| prcitshp |
object |
0% |
NA |
Native, Born In US |
| state |
int64 |
0% |
5.0 |
5 |
| ind02 |
object |
0% |
NA |
Elementary and secondary schools (6111) |
| occ2012 |
int64 |
0% |
3917.9 |
430 |
| class |
object |
0% |
NA |
Private, For Profit |
| unionmme |
object |
0% |
NA |
No |
| unioncov |
object |
7% |
NA |
No |
| lfsr94 |
object |
0% |
NA |
Employed-At Work |