Overview

Dataset statistics

Number of variables8
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory67.9 B

Variable types

Numeric3
Text4
DateTime1

Dataset

Description사립학교교직원연금공단 용어사전과 관련된 데이터로 순서, 한글단어이름, 영어단어이름, 한글내용, 영어내용, 한글검색색인, 등록일, 영어검색색인 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15064973/fileData.do

Alerts

순서 is highly overall correlated with 한글검색색인High correlation
한글검색색인 is highly overall correlated with 순서High correlation
순서 has unique valuesUnique
한글단어이름 has unique valuesUnique
영어내용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:17:43.616487
Analysis finished2023-12-12 14:17:45.420951
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.589404
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:17:45.502042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.5
Q138.5
median76
Q3113.5
95-th percentile146.5
Maximum154
Range153
Interquartile range (IQR)75

Descriptive statistics

Standard deviation44.554876
Coefficient of variation (CV)0.58173681
Kurtosis-1.180927
Mean76.589404
Median Absolute Deviation (MAD)38
Skewness0.03851463
Sum11565
Variance1985.137
MonotonicityStrictly decreasing
2023-12-12T23:17:45.674820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 1
 
0.7%
47 1
 
0.7%
54 1
 
0.7%
53 1
 
0.7%
52 1
 
0.7%
51 1
 
0.7%
50 1
 
0.7%
49 1
 
0.7%
48 1
 
0.7%
46 1
 
0.7%
Other values (141) 141
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
154 1
0.7%
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%

한글단어이름
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:17:46.051905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length15
Mean length6.2847682
Min length2

Characters and Unicode

Total characters949
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)100.0%

Sample

1st row연계퇴직유족연금
2nd row연계퇴직연금
3rd row임용전 복무기간 산입 제외 기간
4th row평균기준소득월액의 현재가치 환산
5th row평균기준소득월액
ValueCountFrequency (%)
적용 4
 
1.9%
재직기간 4
 
1.9%
임용전 3
 
1.5%
복무기간 3
 
1.5%
산입 3
 
1.5%
제외 3
 
1.5%
부담금 3
 
1.5%
정근수당 2
 
1.0%
국고학자금대여 2
 
1.0%
급여의 2
 
1.0%
Other values (166) 177
85.9%
2023-12-12T23:17:46.784086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
10.1%
금 56
 
5.9%
연 35
 
3.7%
직 31
 
3.3%
기 29
 
3.1%
급 27
 
2.8%
수 21
 
2.2%
보 18
 
1.9%
여 17
 
1.8%
의 16
 
1.7%
Other values (157) 603
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
86.6%
Space Separator 96
 
10.1%
Lowercase Letter 24
 
2.5%
Uppercase Letter 4
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 56
 
6.8%
연 35
 
4.3%
직 31
 
3.8%
기 29
 
3.5%
급 27
 
3.3%
수 21
 
2.6%
보 18
 
2.2%
여 17
 
2.1%
의 16
 
1.9%
산 15
 
1.8%
Other values (138) 557
67.8%
Lowercase Letter
ValueCountFrequency (%)
o 4
16.7%
n 3
12.5%
i 3
12.5%
t 2
8.3%
l 2
8.3%
d 2
8.3%
a 2
8.3%
f 2
8.3%
e 1
 
4.2%
u 1
 
4.2%
Other values (2) 2
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
S 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
86.6%
Common 99
 
10.4%
Latin 28
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 56
 
6.8%
연 35
 
4.3%
직 31
 
3.8%
기 29
 
3.5%
급 27
 
3.3%
수 21
 
2.6%
보 18
 
2.2%
여 17
 
2.1%
의 16
 
1.9%
산 15
 
1.8%
Other values (138) 557
67.8%
Latin
ValueCountFrequency (%)
o 4
14.3%
n 3
10.7%
i 3
10.7%
t 2
 
7.1%
l 2
 
7.1%
d 2
 
7.1%
A 2
 
7.1%
a 2
 
7.1%
f 2
 
7.1%
e 1
 
3.6%
Other values (5) 5
17.9%
Common
ValueCountFrequency (%)
96
97.0%
( 1
 
1.0%
) 1
 
1.0%
· 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
86.6%
ASCII 126
 
13.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
76.2%
o 4
 
3.2%
n 3
 
2.4%
i 3
 
2.4%
t 2
 
1.6%
l 2
 
1.6%
d 2
 
1.6%
A 2
 
1.6%
a 2
 
1.6%
f 2
 
1.6%
Other values (8) 8
 
6.3%
Hangul
ValueCountFrequency (%)
금 56
 
6.8%
연 35
 
4.3%
직 31
 
3.8%
기 29
 
3.5%
급 27
 
3.3%
수 21
 
2.6%
보 18
 
2.2%
여 17
 
2.1%
의 16
 
1.9%
산 15
 
1.8%
Other values (138) 557
67.8%
None
ValueCountFrequency (%)
· 1
100.0%

한글내용
Text

Distinct150
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:17:47.072891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length982
Median length137
Mean length109.89404
Min length19

Characters and Unicode

Total characters16594
Distinct characters403
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)98.7%

Sample

1st row연계퇴직연금 수급권자 또는 연계퇴직연금 수급자가 사망한 경우 그 유족에게 지급하는 급여를 말함 ※ 유족연금액 = 연계퇴직연금 × 60% (2010.1.1 이전부터 재직 중인 교직원 또는 연금수급자 = 70%)
2nd row국민연금과 직역연금(사학연금,공무원연금,군인연금,별정우체국직원연금)간 이동자가 가입기간을 연계할 경우 연계기간이 10년이 되고 지급개시연령에 도달할 경우 지급되는 급여를 말함
3rd row복무 기간이 6월 미만인 실역 미필 보충역, 후보생 기간(장교 및 부사관), 복무기간 중 감축기간( 형 집행일 수, 근무 이탈일 수, 영창일 수), 국토건설단 요원의 복무기간, RNTC 훈련기간, 특례 보충역의 실무 종사 기간을 말함.
4th row기준소득월액 또는 평균기준소득월액에 연도별로 공무원보수인상률(행자안전부장관 고시)을 순차적으로 곱하여 급여의 사유가 발생한 연도 또는 연금의 지급이 시작되는 연도의 현재가치로 환산함.
5th row퇴직한 날의 전날 또는 재직중 사망시에 사망일이 속하는 달부터 소급하여 2010.1.1이후 임용시까지 전 전기간에 대해 매년 공무원보수인상률을 적용하여 현재가치로 환산한 후 합한 금액을 재직기간으로 나눈 금액을 말함
ValueCountFrequency (%)
말함 88
 
2.4%
또는 77
 
2.1%
및 54
 
1.5%
44
 
1.2%
그 39
 
1.1%
교직원이 39
 
1.1%
※ 33
 
0.9%
급여를 27
 
0.7%
의하여 25
 
0.7%
경우 24
 
0.6%
Other values (1844) 3245
87.8%
2023-12-12T23:17:47.526107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3854
 
23.2%
직 332
 
2.0%
의 312
 
1.9%
는 304
 
1.8%
하 302
 
1.8%
에 297
 
1.8%
이 295
 
1.8%
금 256
 
1.5%
급 246
 
1.5%
여 227
 
1.4%
Other values (393) 10169
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11411
68.8%
Space Separator 3854
 
23.2%
Decimal Number 538
 
3.2%
Other Punctuation 461
 
2.8%
Lowercase Letter 80
 
0.5%
Control 78
 
0.5%
Close Punctuation 55
 
0.3%
Open Punctuation 54
 
0.3%
Math Symbol 37
 
0.2%
Dash Punctuation 16
 
0.1%
Other values (2) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
직 332
 
2.9%
의 312
 
2.7%
는 304
 
2.7%
하 302
 
2.6%
에 297
 
2.6%
이 295
 
2.6%
금 256
 
2.2%
급 246
 
2.2%
여 227
 
2.0%
기 226
 
2.0%
Other values (339) 8614
75.5%
Lowercase Letter
ValueCountFrequency (%)
o 10
12.5%
a 10
12.5%
l 8
10.0%
e 7
8.8%
s 6
 
7.5%
d 5
 
6.2%
i 5
 
6.2%
n 5
 
6.2%
c 4
 
5.0%
f 4
 
5.0%
Other values (7) 16
20.0%
Other Punctuation
ValueCountFrequency (%)
. 194
42.1%
, 188
40.8%
※ 38
 
8.2%
: 17
 
3.7%
/ 11
 
2.4%
% 9
 
2.0%
; 1
 
0.2%
& 1
 
0.2%
# 1
 
0.2%
* 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 139
25.8%
0 127
23.6%
2 89
16.5%
3 40
 
7.4%
5 39
 
7.2%
6 35
 
6.5%
9 30
 
5.6%
4 17
 
3.2%
7 14
 
2.6%
8 8
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 12
32.4%
× 8
21.6%
> 6
16.2%
~ 5
13.5%
～ 4
 
10.8%
+ 2
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
N 2
22.2%
T 2
22.2%
R 2
22.2%
C 2
22.2%
S 1
11.1%
Space Separator
ValueCountFrequency (%)
3854
100.0%
Control
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11411
68.8%
Common 5094
30.7%
Latin 89
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
직 332
 
2.9%
의 312
 
2.7%
는 304
 
2.7%
하 302
 
2.6%
에 297
 
2.6%
이 295
 
2.6%
금 256
 
2.2%
급 246
 
2.2%
여 227
 
2.0%
기 226
 
2.0%
Other values (339) 8614
75.5%
Common
ValueCountFrequency (%)
3854
75.7%
. 194
 
3.8%
, 188
 
3.7%
1 139
 
2.7%
0 127
 
2.5%
2 89
 
1.7%
78
 
1.5%
) 55
 
1.1%
( 54
 
1.1%
3 40
 
0.8%
Other values (22) 276
 
5.4%
Latin
ValueCountFrequency (%)
o 10
 
11.2%
a 10
 
11.2%
l 8
 
9.0%
e 7
 
7.9%
s 6
 
6.7%
d 5
 
5.6%
i 5
 
5.6%
n 5
 
5.6%
c 4
 
4.5%
f 4
 
4.5%
Other values (12) 25
28.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11373
68.5%
ASCII 5133
30.9%
Punctuation 38
 
0.2%
Compat Jamo 38
 
0.2%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3854
75.1%
. 194
 
3.8%
, 188
 
3.7%
1 139
 
2.7%
0 127
 
2.5%
2 89
 
1.7%
78
 
1.5%
) 55
 
1.1%
( 54
 
1.1%
3 40
 
0.8%
Other values (41) 315
 
6.1%
Hangul
ValueCountFrequency (%)
직 332
 
2.9%
의 312
 
2.7%
는 304
 
2.7%
하 302
 
2.7%
에 297
 
2.6%
이 295
 
2.6%
금 256
 
2.3%
급 246
 
2.2%
여 227
 
2.0%
기 226
 
2.0%
Other values (338) 8576
75.4%
Punctuation
ValueCountFrequency (%)
※ 38
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 38
100.0%
None
ValueCountFrequency (%)
× 8
66.7%
～ 4
33.3%

영어단어이름
Text

Distinct150
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:17:47.827356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length44
Mean length25.695364
Min length5

Characters and Unicode

Total characters3880
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)98.7%

Sample

1st rowLinked Survivor Retirement Annuity
2nd rowLinked Retirement Annuity
3rd rowPeriod Excluded from the Inclusion of Service Period before Appointment
4th rowCalculated Present Value of Average Base Monthly Income
5th rowAverage Base Monthly Income
ValueCountFrequency (%)
of 40
 
8.0%
for 18
 
3.6%
pension 16
 
3.2%
allowance 15
 
3.0%
benefit 13
 
2.6%
retirement 13
 
2.6%
remuneration 10
 
2.0%
period 10
 
2.0%
annuity 9
 
1.8%
monthly 8
 
1.6%
Other values (196) 351
69.8%
2023-12-12T23:17:48.235963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 389
 
10.0%
359
 
9.3%
i 322
 
8.3%
n 321
 
8.3%
o 293
 
7.6%
t 263
 
6.8%
a 208
 
5.4%
r 191
 
4.9%
l 151
 
3.9%
s 144
 
3.7%
Other values (41) 1239
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3084
79.5%
Uppercase Letter 421
 
10.9%
Space Separator 359
 
9.3%
Modifier Symbol 12
 
0.3%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 389
12.6%
i 322
10.4%
n 321
10.4%
o 293
9.5%
t 263
 
8.5%
a 208
 
6.7%
r 191
 
6.2%
l 151
 
4.9%
s 144
 
4.7%
u 108
 
3.5%
Other values (15) 694
22.5%
Uppercase Letter
ValueCountFrequency (%)
A 63
15.0%
P 53
12.6%
R 48
11.4%
S 44
10.5%
C 40
9.5%
D 29
6.9%
B 21
 
5.0%
E 21
 
5.0%
I 21
 
5.0%
L 18
 
4.3%
Other values (13) 63
15.0%
Space Separator
ValueCountFrequency (%)
359
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3505
90.3%
Common 375
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 389
 
11.1%
i 322
 
9.2%
n 321
 
9.2%
o 293
 
8.4%
t 263
 
7.5%
a 208
 
5.9%
r 191
 
5.4%
l 151
 
4.3%
s 144
 
4.1%
u 108
 
3.1%
Other values (38) 1115
31.8%
Common
ValueCountFrequency (%)
359
95.7%
` 12
 
3.2%
- 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 389
 
10.0%
359
 
9.3%
i 322
 
8.3%
n 321
 
8.3%
o 293
 
7.6%
t 263
 
6.8%
a 208
 
5.4%
r 191
 
4.9%
l 151
 
3.9%
s 144
 
3.7%
Other values (41) 1239
31.9%

영어내용
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:17:48.501943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length316
Mean length312.11258
Min length52

Characters and Unicode

Total characters47129
Distinct characters85
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)100.0%

Sample

1st rowIt refers to the benefit that is paid to the survivors if the beneficiaries of linked retirement annuity or the beneficiaries or the pensioners of the linked retirement annuity died. ※ Amount of survivor`s pension = Linked retirement annuity × 60% (School staff under employment before January 1, 2010 = 70%)
2nd rowIf the movers between national pension and occupational pensions (Private School Teachers` Pension, Military Pension, Semi-official Post Office Staff Pension) link the participation period, the linked period becomes ten years. This benefit is paid when the pension age is reach
3rd rowIt refers to the reservist duty of incomplete active service, the period of cadets (officer and noncommissioned officer), the reduction period of the service period (the number of days of sentence execution, the number of days of desertion from duty, the number of days of confinement in a guardhouse), the service period of Homeland Construction Corps personnel, the training period of ROTC and the working-level service period of the special reservist status.
4th rowIt is calculated into the present value of the year when the reason for the benefit occurred or when the payment of pension begins by sequentially multiplying the average increase rate of remuneration for public officials of each year (the notice of the Minister of Public Administration and Security) by the base monthly income or average base monthly income.
5th rowIt refers to the amount that is totaled and divided by the employment period after applying the increase rate of the remuneration for the public officials each year and calculating it into the current value for the duration until the appointment since January 1st, 2011 retroactively from the previous date of retirement or the month to which the deathday belongs in case of death during appointment.
ValueCountFrequency (%)
the 958
 
12.4%
of 376
 
4.9%
to 255
 
3.3%
and 228
 
3.0%
for 166
 
2.1%
is 142
 
1.8%
school 138
 
1.8%
it 136
 
1.8%
or 121
 
1.6%
in 117
 
1.5%
Other values (1059) 5085
65.9%
2023-12-12T23:17:48.887071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7793
16.5%
e 5158
10.9%
t 3829
 
8.1%
o 3125
 
6.6%
i 3028
 
6.4%
n 2798
 
5.9%
a 2679
 
5.7%
r 2552
 
5.4%
s 2265
 
4.8%
h 1838
 
3.9%
Other values (75) 12064
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37690
80.0%
Space Separator 7793
 
16.5%
Uppercase Letter 654
 
1.4%
Other Punctuation 489
 
1.0%
Decimal Number 217
 
0.5%
Control 62
 
0.1%
Close Punctuation 49
 
0.1%
Modifier Symbol 49
 
0.1%
Dash Punctuation 48
 
0.1%
Open Punctuation 47
 
0.1%
Other values (3) 31
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5158
13.7%
t 3829
10.2%
o 3125
 
8.3%
i 3028
 
8.0%
n 2798
 
7.4%
a 2679
 
7.1%
r 2552
 
6.8%
s 2265
 
6.0%
h 1838
 
4.9%
c 1410
 
3.7%
Other values (16) 9008
23.9%
Uppercase Letter
ValueCountFrequency (%)
I 146
22.3%
A 97
14.8%
P 79
12.1%
T 53
 
8.1%
S 53
 
8.1%
C 27
 
4.1%
R 24
 
3.7%
M 23
 
3.5%
F 20
 
3.1%
D 20
 
3.1%
Other values (13) 112
17.1%
Decimal Number
ValueCountFrequency (%)
0 52
24.0%
1 50
23.0%
2 35
16.1%
9 15
 
6.9%
5 15
 
6.9%
3 14
 
6.5%
6 12
 
5.5%
4 10
 
4.6%
7 10
 
4.6%
8 4
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 235
48.1%
. 206
42.1%
※ 32
 
6.5%
/ 9
 
1.8%
% 5
 
1.0%
* 1
 
0.2%
: 1
 
0.2%
Letter Number
ValueCountFrequency (%)
ⅰ 1
16.7%
ⅱ 1
16.7%
ⅲ 1
16.7%
ⅳ 1
16.7%
ⅴ 1
16.7%
ⅵ 1
16.7%
Math Symbol
ValueCountFrequency (%)
= 12
50.0%
× 8
33.3%
+ 2
 
8.3%
～ 1
 
4.2%
~ 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 47
97.9%
― 1
 
2.1%
Space Separator
ValueCountFrequency (%)
7793
100.0%
Control
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38350
81.4%
Common 8779
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5158
13.4%
t 3829
 
10.0%
o 3125
 
8.1%
i 3028
 
7.9%
n 2798
 
7.3%
a 2679
 
7.0%
r 2552
 
6.7%
s 2265
 
5.9%
h 1838
 
4.8%
c 1410
 
3.7%
Other values (45) 9668
25.2%
Common
ValueCountFrequency (%)
7793
88.8%
, 235
 
2.7%
. 206
 
2.3%
62
 
0.7%
0 52
 
0.6%
1 50
 
0.6%
) 49
 
0.6%
` 49
 
0.6%
- 47
 
0.5%
( 47
 
0.5%
Other values (20) 189
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47081
99.9%
Punctuation 33
 
0.1%
None 9
 
< 0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7793
16.6%
e 5158
11.0%
t 3829
 
8.1%
o 3125
 
6.6%
i 3028
 
6.4%
n 2798
 
5.9%
a 2679
 
5.7%
r 2552
 
5.4%
s 2265
 
4.8%
h 1838
 
3.9%
Other values (65) 12016
25.5%
Punctuation
ValueCountFrequency (%)
※ 32
97.0%
― 1
 
3.0%
None
ValueCountFrequency (%)
× 8
88.9%
～ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
ⅰ 1
16.7%
ⅱ 1
16.7%
ⅲ 1
16.7%
ⅳ 1
16.7%
ⅴ 1
16.7%
ⅵ 1
16.7%

한글검색색인
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3245033
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:17:48.983982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q39
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.816717
Coefficient of variation (CV)0.52108885
Kurtosis-0.57024117
Mean7.3245033
Median Absolute Deviation (MAD)1
Skewness-0.31513379
Sum1106
Variance14.567329
MonotonicityNot monotonic
2023-12-12T23:17:49.097422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9 33
21.9%
8 30
19.9%
1 28
18.5%
7 17
11.3%
6 10
 
6.6%
12 10
 
6.6%
14 9
 
6.0%
13 6
 
4.0%
3 6
 
4.0%
10 2
 
1.3%
ValueCountFrequency (%)
1 28
18.5%
3 6
 
4.0%
6 10
 
6.6%
7 17
11.3%
8 30
19.9%
9 33
21.9%
10 2
 
1.3%
12 10
 
6.6%
13 6
 
4.0%
14 9
 
6.0%
ValueCountFrequency (%)
14 9
 
6.0%
13 6
 
4.0%
12 10
 
6.6%
10 2
 
1.3%
9 33
21.9%
8 30
19.9%
7 17
11.3%
6 10
 
6.6%
3 6
 
4.0%
1 28
18.5%

등록일
Date

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2014-12-23 00:00:00
Maximum2018-01-02 00:00:00
2023-12-12T23:17:49.181093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:49.256342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영어검색색인
Real number (ℝ)

Distinct19
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.145695
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:17:49.357093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median12
Q316
95-th percentile19
Maximum23
Range22
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.9889411
Coefficient of variation (CV)0.68885777
Kurtosis-1.6049754
Mean10.145695
Median Absolute Deviation (MAD)7
Skewness0.034180702
Sum1532
Variance48.845298
MonotonicityNot monotonic
2023-12-12T23:17:49.453658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 19
12.6%
16 17
11.3%
3 16
10.6%
19 16
10.6%
12 15
9.9%
18 14
9.3%
4 14
9.3%
5 8
 
5.3%
2 7
 
4.6%
9 4
 
2.6%
Other values (9) 21
13.9%
ValueCountFrequency (%)
1 19
12.6%
2 7
 
4.6%
3 16
10.6%
4 14
9.3%
5 8
5.3%
6 2
 
1.3%
7 1
 
0.7%
9 4
 
2.6%
10 1
 
0.7%
12 15
9.9%
ValueCountFrequency (%)
23 2
 
1.3%
20 4
 
2.6%
19 16
10.6%
18 14
9.3%
17 1
 
0.7%
16 17
11.3%
15 3
 
2.0%
14 3
 
2.0%
13 4
 
2.6%
12 15
9.9%

Interactions

2023-12-12T23:17:44.825635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.169461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.505125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.917551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.276269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.621120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:45.022861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.399081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.729091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:17:49.512407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서한글검색색인등록일영어검색색인
순서1.0000.9030.2090.317
한글검색색인0.9031.0000.2780.374
등록일0.2090.2781.0000.000
영어검색색인0.3170.3740.0001.000
2023-12-12T23:17:49.587407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서한글검색색인영어검색색인
순서1.0000.902-0.112
한글검색색인0.9021.000-0.057
영어검색색인-0.112-0.0571.000

Missing values

2023-12-12T23:17:45.179592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:17:45.364158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순서한글단어이름한글내용영어단어이름영어내용한글검색색인등록일영어검색색인
0154연계퇴직유족연금연계퇴직연금 수급권자 또는 연계퇴직연금 수급자가 사망한 경우 그 유족에게 지급하는 급여를 말함 ※ 유족연금액 = 연계퇴직연금 × 60% (2010.1.1 이전부터 재직 중인 교직원 또는 연금수급자 = 70%)Linked Survivor Retirement AnnuityIt refers to the benefit that is paid to the survivors if the beneficiaries of linked retirement annuity or the beneficiaries or the pensioners of the linked retirement annuity died. ※ Amount of survivor`s pension = Linked retirement annuity × 60% (School staff under employment before January 1, 2010 = 70%)82014-12-2312
1153연계퇴직연금국민연금과 직역연금(사학연금,공무원연금,군인연금,별정우체국직원연금)간 이동자가 가입기간을 연계할 경우 연계기간이 10년이 되고 지급개시연령에 도달할 경우 지급되는 급여를 말함Linked Retirement AnnuityIf the movers between national pension and occupational pensions (Private School Teachers` Pension, Military Pension, Semi-official Post Office Staff Pension) link the participation period, the linked period becomes ten years. This benefit is paid when the pension age is reach82018-01-0212
2152임용전 복무기간 산입 제외 기간복무 기간이 6월 미만인 실역 미필 보충역, 후보생 기간(장교 및 부사관), 복무기간 중 감축기간( 형 집행일 수, 근무 이탈일 수, 영창일 수), 국토건설단 요원의 복무기간, RNTC 훈련기간, 특례 보충역의 실무 종사 기간을 말함.Period Excluded from the Inclusion of Service Period before AppointmentIt refers to the reservist duty of incomplete active service, the period of cadets (officer and noncommissioned officer), the reduction period of the service period (the number of days of sentence execution, the number of days of desertion from duty, the number of days of confinement in a guardhouse), the service period of Homeland Construction Corps personnel, the training period of ROTC and the working-level service period of the special reservist status.82014-12-2316
3151평균기준소득월액의 현재가치 환산기준소득월액 또는 평균기준소득월액에 연도별로 공무원보수인상률(행자안전부장관 고시)을 순차적으로 곱하여 급여의 사유가 발생한 연도 또는 연금의 지급이 시작되는 연도의 현재가치로 환산함.Calculated Present Value of Average Base Monthly IncomeIt is calculated into the present value of the year when the reason for the benefit occurred or when the payment of pension begins by sequentially multiplying the average increase rate of remuneration for public officials of each year (the notice of the Minister of Public Administration and Security) by the base monthly income or average base monthly income.132014-12-233
4150평균기준소득월액퇴직한 날의 전날 또는 재직중 사망시에 사망일이 속하는 달부터 소급하여 2010.1.1이후 임용시까지 전 전기간에 대해 매년 공무원보수인상률을 적용하여 현재가치로 환산한 후 합한 금액을 재직기간으로 나눈 금액을 말함Average Base Monthly IncomeIt refers to the amount that is totaled and divided by the employment period after applying the increase rate of the remuneration for the public officials each year and calculating it into the current value for the duration until the appointment since January 1st, 2011 retroactively from the previous date of retirement or the month to which the deathday belongs in case of death during appointment.132014-12-231
5149기준소득월액교직원이 학교 및 경영기관에서 일정기간 재직하고 얻은 소득 중 비과세소득을 제외한 금액의 연지급액합계액을 12월로 평균한 금액을 말함 ※ - 기준소득월액 = (근로소득-비과세 소득) / 12 - 부담금 및 급여액 산정의 기초가 됨.Base Monthly IncomeIt refers to the 12-month averaged amount of the total annual amount of the income less non-taxable income that school staff earned from being employed by schools and management institutions for a certain period of time. ※ - Base Monthly Income = (Earned Income - Non-taxable Income) / 12 - It is the basis of contribution and benefit calculation.12014-12-232
6148보수연액보수월액의 12배에 상당하는 금액을 말함.Annual RemunerationIt refers to the amount corresponding to 12 times the amount of monthly remuneration.62014-12-231
7147휴직교직원 신분과 자격을 유지하면서 일정 기간 쉬는 것을 말하며, 일반휴직, 입대휴직, 병가휴직 및 육아휴직 등이 있음.Leave of AbsenceIt refers to having a rest for a certain period of time while maintaining the school staff`s status and qualification, and it can include general leave of absence, leave for military service, sick leave and parental leave and so on.142014-12-2312
8146호봉 재획정교직원이 재직중 새로운 경력을 합산할 사유(자격, 학력변동 포함)와 승급 제한기간을 산입하는 경우 또는 호봉 재획정 방법이 변경되는 경우에 호봉을 재획정함을 말함.Redefinition of Pay GradeIt refers to the redefinition of pay grade if school staff include the reasons for combined calculation (inc. eligibility and change of academic ability) and the restriction period of salary raise, or the method of redefining the pay grade is changed.142014-12-2318
9145해임징계처분의 한가지로 파면 다음으로 무거운 징계이며, 교직원 신분은 박탈됨.DismissalIt is one of the disciplinary actions, and is the severe disciplinary punishment next to expulsion. The school staff`s status is deprived.142018-01-024
순서한글단어이름한글내용영어단어이름영어내용한글검색색인등록일영어검색색인
14110공무원평균보수인상률전전년도 10월말 현재 전체 공무원의 보수월액의 총액을 전체공무원의 수로 나눈 금액에 대비한 전년도 10월말 현재 전체공무원의 보수월액의 총액을 전체공무원의 수로 나눈 금액의 변동을 말함.Average Increase Rate of Public Official RemunerationIt refers to the variable rate of the amount of the total amount of the monthly salaries of entire public officials divided by the number of entire public officials as of the end of October of the last year as compared to the amount of the total amount of the monthly salaries of entire public officials divided by the number of entire public officials as of the end of October of the year before last.12018-01-021
1429공무원보수규정공무원의 보수에 관하여 필요한 사항을 정한 규정Public Officials Remuneration RegulationsIt refers to the regulations that set forth the provisions necessary for the remuneration of the public officials.12014-12-2316
1438공무원국가공무원법 및 지방공무원법에 의한 공무원과 대통령령이 정하는 국가 또는 지방자치단체의 기타의 직원을 말하며 공무원연금법 적용을 받음. 다만, 군인과 선거에 의하여 취임하는 공무원은 제외함.Public OfficialsIt refers to the public officials by the National Public Service Act and Local Public Service Act and other employees of the nation or local governments prescribed by the presidential decree and they are subject to the Public Officials Pension Act. However, the soldiers and the public officials who are inaugurated by the election are excluded.12014-12-2316
1447경력현재까지 직업상의 어떤일을 해 오거나 어떤 직위나 직책을 맡아 온 경험 또는 그 내용을 말함 ※ 교원은 임용전 시간강사(대학이상), 연구경력, 주식회사 근무경력 등이 인정되며, 사무직원은 국가기술자격증(기술사, 각종기사, 기능사 등)을 취득하고 학교기관에서도 해당 자격증과 관련된 업무수행을 하는 경우에만 인정됨.Work ExperienceIt refers to the experience of performing certain occupational works or taking on certain titles or positions or their contents. ※ School staff are recognized for the work experiences with part-time instruction (at or above the college), research, and working for corporate companies before appointment, and clerical staff are recognized for the work experience only when performing the works related to the relevant certificates in the school institution after acquiring the national technical certificates (consultant engineer, various engineers, technicians, etc.).12014-12-2323
1456결손처분공단이 부담금을 징수하거나 급여액을 환수함에 있어 특정한 사유의 발생으로 인하여 부과한 부담금 또는 환수금을 징수할 수 없다고 인정될 경우에 그 납부의무를 소멸시키는 행정처분을 말함.Deficits DisposalIt refers to the administrative disposition which dissipates the obligation of payment when it is appreciated that the imposed contribution or clawback cannot be collected due to the occurrence of specific reason in collecting the contribution or claw the benefit back.12014-12-234
1465견책징계처분의 한 가지로 잘못을 꾸짖고 회개하게 함. ※ 징계처분일로부터 6월 동안 승급이 제한되며 징계처분일로부터 3년이 경과하게 되면 승급기간의 특례에 의하여 승급의 제한을 받은 기간은 승급기간에 재산입함.ReprimandIt is one of the disciplinary actions, and those who made a mistake are rebuked and made to repent the mistake. ※ The raise in salary is limited for six months from the date of disciplinary actions. If three years elapse from the date of disciplinary actions, the period of limited raise in salary is re-included by the special cases of the period for raise in salary.12014-12-2318
1474거치기간대여금의 상환개시를 일정기간 유예하는 것을 말함.Grace PeriodIt is to postpone the start of loan repayment for a certain period of time.12014-12-237
1483개인부담금급여에 소요되는 비용으로 교직원이 부담하는 금액Personal ContributionThe amount borne by school staff as the expense required for benefit12018-01-0216
1492강임동일한 직열 내에서 하위의 직급에 임명하거나 하위직급이 없어 다른 직열의 하위직급으로 임명하는 것을 말함.DemotionIt refers to being appointed to the lower job classification within the same work classification or being appointed to the lower job classification of other work classification as there is no lower job classification within the same work classification.12014-12-234
1501감봉징계처분의 일종으로 1월 이상 3월 이하의 기간으로 하고 보수의 1/3을 감함 ※ 징계처분의 집행이 종료된 날로부터 12월 동안 승급이 제한되며 징계처분이 종료된 날로부터 5년이 경과하게 되면 승급기간의 특례에 의하여 징계처분기간을 제외하고 승급의 제한을 받은 기간은 승급기간에 재산입함.Reduction in SalaryIt is a type of disciplinary actions. Its duration is more than one month and less than three months and the 1/3 of the remuneration is reduced. ※ The raise in salary is limited for twelve months from the termination date of the execution of disciplinary actions. If five years elapse from the termination date of disciplinary actions, the period of limited raise in salary is re-included except for the period of disciplinary actions by the special cases of the period for raise in salary.12014-12-2318