我必须与Stata一起工作。我在Excel中获得了所有必需的数据,但是当我将它们导入Stata时,会显示一些数据(与sum
命令一样),其中一些将为no observations
或not found
。我得到这些输出Stata不能正确读取我的Excel表格
. summarize
Variable | Obs Mean Std. Dev. Min Max
total_assets | 2576 66822.33 236144.5 630.8 2573126
employees | 2570 67.61437 160.5821 .175 2200
changeofwo~e | 0
employeedo~g | 0
netincome | 2575 1683.551 4054.371 -99289 26895
revenue | 2575 22475.59 40565.01 -4234.472 483521
ROA | 2576 .0607231 .0734222 -.8526002 .5033718
changeinROA | 0
L | 0
M | 0
. describe
Contains data
obs: 2,577
vars: 13
size: 224,199
-----------------------------------------------------------------------------
storage display value
variable name type format label variable label
firm_ID int %10.0g firm_ID
gvkey long %10.0g gvkey
fiscal_year int %10.0g fiscal_year
total_assets double %10.0g total_assets
employees double %10.0g employees
changeofworkf~e str18 %18s change of workforce
employeedowns~g str1 %9s employee downsizing
netincome double %10.0g netincome
revenue double %10.0g revenue
ROA double %6.4f ROA
changeinROA str18 %18s change in ROA
L byte %10.0g
M byte %10.0g
-
Sorted by:
Note: dataset has changed since last saved
. sum ROA
Variable | Obs Mean Std. Dev. Min Max
ROA | 2576 .0607231 .0734222 -.8526002 .5033718
. sum changeofworkforce
Variable | Obs Mean Std. Dev. Min Max
changeofwo~e | 0
同样的情况,为changeinROA
,或employeedownsizing
。
进一步编辑:
. tab downsizing
downsizing | Freq. Percent Cum.
------------+-----------------------------------
0 | 2,168 84.19 84.19
1 | 407 15.81 100.00
------------+-----------------------------------
Total | 2,575 100.00
你需要问一个可以回答的问题。本文的大部分内容完全不会影响您的问题:我们非常同情,但您是谁以及其他个人资料并不能说明Stata问题。我编辑了无意义的细节。你究竟想要导入什么:.xls,.xlsx,还有其他东西?你怎么试图导入它? 'import delimited','import excel',别的东西? –
仔细查看Stata正在读取的数值和字符串变量。如有必要,向我们展示'describe'和'summarize'的结果。 –
变量Obs平均值Std。开发。最小值最大值 fiscal_year 2576 2007.859 3.775437 2001年2014 total_assets 2576 66822.33 236144.5 630.8 2573126 员工2570 67.61437 160.5821 0.175 2200 changeofwo〜ê0 employeedo〜g^0 ROA 2576 0.0607231 0.0734222 -.8526002 0.5033718 changeinROA | 0 L | 0 M | 0 – Meike