我必須與Stata一起工作。我在Excel中獲得了所有必需的數據,但是當我將它們導入Stata時,會顯示一些數據(與sum
命令一樣),其中一些將爲no observations
或not found
。我得到這些輸出Stata不能正確讀取我的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
同樣的情況,爲changeinROA
,或employeedownsizing
。
進一步編輯:
. tab downsizing
downsizing | Freq. Percent Cum.
------------+-----------------------------------
0 | 2,168 84.19 84.19
1 | 407 15.81 100.00
------------+-----------------------------------
Total | 2,575 100.00
你需要問一個可以回答的問題。本文的大部分內容完全不會影響您的問題:我們非常同情,但您是誰以及其他個人資料並不能說明Stata問題。我編輯了無意義的細節。你究竟想要導入什麼:.xls,.xlsx,還有其他東西?你怎麼試圖導入它? 'import delimited','import excel',別的東西? –
仔細查看Stata正在讀取的數值和字符串變量。如有必要,向我們展示'describe'和'summarize'的結果。 –
變量Obs平均值Std。開發。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 員工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