Overview

Dataset statistics

Number of variables33
Number of observations46
Missing cells273
Missing cells (%)18.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory288.9 B

Variable types

Numeric22
Text11

Dataset

Description사립학교교직원연금공단 연도별 학교급별 교직원 퇴직현황과 관련된 데이터로 연도, 당해연도, 증감률, 교직원별, 성별(남, 녀), 학교급별(유치원, 초등학교, 중학교, 고등학교, 전문대학, 대학교, 특수학교, 학교경영기관) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15065054/fileData.do

Alerts

유치원(교원)(여) has 18 (39.1%) missing valuesMissing
유치원(사무직원)(여) has 18 (39.1%) missing valuesMissing
초등학교(교원)(여) has 18 (39.1%) missing valuesMissing
초등학교(사무직원)(여) has 18 (39.1%) missing valuesMissing
중학교(교원)(여) has 18 (39.1%) missing valuesMissing
중학교(사무직원)(여) has 18 (39.1%) missing valuesMissing
고등학교(교원)(여) has 18 (39.1%) missing valuesMissing
고등학교(사무직원)(남) has 3 (6.5%) missing valuesMissing
고등학교(사무직원)(여) has 18 (39.1%) missing valuesMissing
전문대학(교원)(여) has 18 (39.1%) missing valuesMissing
전문대학(사무직원)(여) has 18 (39.1%) missing valuesMissing
대학(교)(교원)(여) has 18 (39.1%) missing valuesMissing
대학(교)(사무직원)(여) has 18 (39.1%) missing valuesMissing
특수학교(교원)(여) has 18 (39.1%) missing valuesMissing
특수학교(사무직원)(여) has 18 (39.1%) missing valuesMissing
학교경영기관(사무직원)(여) has 18 (39.1%) missing valuesMissing
연도 has unique valuesUnique
교원 has unique valuesUnique
사무직원 has unique valuesUnique
중학교(교원)(남) has unique valuesUnique
고등학교(교원)(남) has unique valuesUnique
대학(교)(교원)(남) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:39:43.446133
Analysis finished2023-12-12 02:39:43.884334
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1999.5
Minimum1977
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:43.955399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1977
5-th percentile1979.25
Q11988.25
median1999.5
Q32010.75
95-th percentile2019.75
Maximum2022
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.0067129871
Kurtosis-1.2
Mean1999.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum91977
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T11:39:44.097426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1977 1
 
2.2%
2012 1
 
2.2%
2003 1
 
2.2%
2004 1
 
2.2%
2005 1
 
2.2%
2006 1
 
2.2%
2007 1
 
2.2%
2008 1
 
2.2%
2009 1
 
2.2%
2010 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1977 1
2.2%
1978 1
2.2%
1979 1
2.2%
1980 1
2.2%
1981 1
2.2%
1982 1
2.2%
1983 1
2.2%
1984 1
2.2%
1985 1
2.2%
1986 1
2.2%
ValueCountFrequency (%)
2022 1
2.2%
2021 1
2.2%
2020 1
2.2%
2019 1
2.2%
2018 1
2.2%
2017 1
2.2%
2016 1
2.2%
2015 1
2.2%
2014 1
2.2%
2013 1
2.2%

교원
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10187.152
Minimum3777
Maximum19054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:44.239930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3777
5-th percentile4264.5
Q15320.5
median10630.5
Q314096.5
95-th percentile18336.5
Maximum19054
Range15277
Interquartile range (IQR)8776

Descriptive statistics

Standard deviation5290.6926
Coefficient of variation (CV)0.51934952
Kurtosis-1.4724528
Mean10187.152
Median Absolute Deviation (MAD)5300.5
Skewness0.31603376
Sum468609
Variance27991428
MonotonicityNot monotonic
2023-12-12T11:39:44.400148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3777 1
 
2.2%
12815 1
 
2.2%
11964 1
 
2.2%
12290 1
 
2.2%
13110 1
 
2.2%
14256 1
 
2.2%
16045 1
 
2.2%
17388 1
 
2.2%
17362 1
 
2.2%
19039 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
3777 1
2.2%
4197 1
2.2%
4238 1
2.2%
4344 1
2.2%
4493 1
2.2%
4555 1
2.2%
4605 1
2.2%
4620 1
2.2%
4702 1
2.2%
4926 1
2.2%
ValueCountFrequency (%)
19054 1
2.2%
19039 1
2.2%
18380 1
2.2%
18206 1
2.2%
17620 1
2.2%
17501 1
2.2%
17388 1
2.2%
17362 1
2.2%
16837 1
2.2%
16590 1
2.2%

사무직원
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:44.685795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.173913
Min length2

Characters and Unicode

Total characters192
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row
2nd row2752
3rd row3470
4th row3257
5th row3524
ValueCountFrequency (%)
4400 1
 
2.2%
7838 1
 
2.2%
7660 1
 
2.2%
7802 1
 
2.2%
7117 1
 
2.2%
7413 1
 
2.2%
7673 1
 
2.2%
8558 1
 
2.2%
8868 1
 
2.2%
8023 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T11:39:45.046184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 24
12.5%
6 22
11.5%
7 22
11.5%
5 22
11.5%
8 19
9.9%
1 19
9.9%
0 16
8.3%
9 16
8.3%
3 15
7.8%
2 15
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 24
12.6%
6 22
11.6%
7 22
11.6%
5 22
11.6%
8 19
10.0%
1 19
10.0%
0 16
8.4%
9 16
8.4%
3 15
7.9%
2 15
7.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 24
12.5%
6 22
11.5%
7 22
11.5%
5 22
11.5%
8 19
9.9%
1 19
9.9%
0 16
8.3%
9 16
8.3%
3 15
7.8%
2 15
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 24
12.5%
6 22
11.5%
7 22
11.5%
5 22
11.5%
8 19
9.9%
1 19
9.9%
0 16
8.3%
9 16
8.3%
3 15
7.8%
2 15
7.8%
Distinct27
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:45.225621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.0652174
Min length1

Characters and Unicode

Total characters95
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)50.0%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
3 2
 
6.9%
2 2
 
6.9%
21 2
 
6.9%
54 1
 
3.4%
46 1
 
3.4%
109 1
 
3.4%
127 1
 
3.4%
153 1
 
3.4%
130 1
 
3.4%
117 1
 
3.4%
Other values (16) 16
55.2%
2023-12-12T11:39:45.593154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
35.8%
1 19
20.0%
3 9
 
9.5%
2 7
 
7.4%
4 5
 
5.3%
6 5
 
5.3%
5 5
 
5.3%
7 4
 
4.2%
8 3
 
3.2%
0 2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61
64.2%
Space Separator 34
35.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
31.1%
3 9
14.8%
2 7
 
11.5%
4 5
 
8.2%
6 5
 
8.2%
5 5
 
8.2%
7 4
 
6.6%
8 3
 
4.9%
0 2
 
3.3%
9 2
 
3.3%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
34
35.8%
1 19
20.0%
3 9
 
9.5%
2 7
 
7.4%
4 5
 
5.3%
6 5
 
5.3%
5 5
 
5.3%
7 4
 
4.2%
8 3
 
3.2%
0 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
35.8%
1 19
20.0%
3 9
 
9.5%
2 7
 
7.4%
4 5
 
5.3%
6 5
 
5.3%
5 5
 
5.3%
7 4
 
4.2%
8 3
 
3.2%
0 2
 
2.1%

유치원(교원)(여)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean4942.0357
Minimum236
Maximum11197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:45.726441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236
5-th percentile520.1
Q12556.75
median4971.5
Q36572
95-th percentile10204.2
Maximum11197
Range10961
Interquartile range (IQR)4015.25

Descriptive statistics

Standard deviation3204.6615
Coefficient of variation (CV)0.64844968
Kurtosis-0.78861871
Mean4942.0357
Median Absolute Deviation (MAD)2433.5
Skewness0.40545145
Sum138377
Variance10269855
MonotonicityNot monotonic
2023-12-12T11:39:45.870078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5399 1
 
2.2%
8884 1
 
2.2%
9081 1
 
2.2%
9688 1
 
2.2%
11197 1
 
2.2%
10424 1
 
2.2%
9796 1
 
2.2%
7520 1
 
2.2%
6256 1
 
2.2%
5709 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 18
39.1%
ValueCountFrequency (%)
236 1
2.2%
448 1
2.2%
654 1
2.2%
1147 1
2.2%
1298 1
2.2%
2166 1
2.2%
2268 1
2.2%
2653 1
2.2%
2959 1
2.2%
3025 1
2.2%
ValueCountFrequency (%)
11197 1
2.2%
10424 1
2.2%
9796 1
2.2%
9688 1
2.2%
9081 1
2.2%
8884 1
2.2%
7520 1
2.2%
6256 1
2.2%
5709 1
2.2%
5655 1
2.2%
Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:46.106278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.3478261
Min length2

Characters and Unicode

Total characters108
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)54.3%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
20 3
 
10.0%
263 2
 
6.7%
106 1
 
3.3%
166 1
 
3.3%
245 1
 
3.3%
222 1
 
3.3%
194 1
 
3.3%
181 1
 
3.3%
148 1
 
3.3%
159 1
 
3.3%
Other values (17) 17
56.7%
2023-12-12T11:39:46.559100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
29.6%
2 15
13.9%
1 13
12.0%
6 8
 
7.4%
4 8
 
7.4%
0 7
 
6.5%
5 7
 
6.5%
3 6
 
5.6%
8 6
 
5.6%
7 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76
70.4%
Space Separator 32
29.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
19.7%
1 13
17.1%
6 8
10.5%
4 8
10.5%
0 7
9.2%
5 7
9.2%
3 6
 
7.9%
8 6
 
7.9%
7 3
 
3.9%
9 3
 
3.9%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
29.6%
2 15
13.9%
1 13
12.0%
6 8
 
7.4%
4 8
 
7.4%
0 7
 
6.5%
5 7
 
6.5%
3 6
 
5.6%
8 6
 
5.6%
7 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
29.6%
2 15
13.9%
1 13
12.0%
6 8
 
7.4%
4 8
 
7.4%
0 7
 
6.5%
5 7
 
6.5%
3 6
 
5.6%
8 6
 
5.6%
7 3
 
2.8%

유치원(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean366.96429
Minimum21
Maximum1139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:46.747633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile25.4
Q185.25
median231
Q3615.75
95-th percentile994.65
Maximum1139
Range1118
Interquartile range (IQR)530.5

Descriptive statistics

Standard deviation346.79308
Coefficient of variation (CV)0.94503225
Kurtosis-0.46279745
Mean366.96429
Median Absolute Deviation (MAD)180.5
Skewness0.89601635
Sum10275
Variance120265.44
MonotonicityNot monotonic
2023-12-12T11:39:46.900880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
298 1
 
2.2%
569 1
 
2.2%
662 1
 
2.2%
940 1
 
2.2%
1016 1
 
2.2%
1139 1
 
2.2%
955 1
 
2.2%
777 1
 
2.2%
654 1
 
2.2%
603 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 18
39.1%
ValueCountFrequency (%)
21 1
2.2%
24 1
2.2%
28 1
2.2%
32 1
2.2%
58 1
2.2%
69 1
2.2%
77 1
2.2%
88 1
2.2%
94 1
2.2%
129 1
2.2%
ValueCountFrequency (%)
1139 1
2.2%
1016 1
2.2%
955 1
2.2%
940 1
2.2%
777 1
2.2%
662 1
2.2%
654 1
2.2%
603 1
2.2%
569 1
2.2%
419 1
2.2%

초등학교(교원)(남)
Real number (ℝ)

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.15217
Minimum24
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:47.057132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile29.25
Q145
median62.5
Q3164.5
95-th percentile291
Maximum326
Range302
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation86.282989
Coefficient of variation (CV)0.79779246
Kurtosis0.19744115
Mean108.15217
Median Absolute Deviation (MAD)27.5
Skewness1.1666505
Sum4975
Variance7444.7541
MonotonicityNot monotonic
2023-12-12T11:39:47.204980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
44 3
 
6.5%
260 2
 
4.3%
48 2
 
4.3%
45 2
 
4.3%
30 1
 
2.2%
52 1
 
2.2%
59 1
 
2.2%
61 1
 
2.2%
40 1
 
2.2%
54 1
 
2.2%
Other values (31) 31
67.4%
ValueCountFrequency (%)
24 1
 
2.2%
26 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
32 1
 
2.2%
38 1
 
2.2%
40 1
 
2.2%
43 1
 
2.2%
44 3
6.5%
45 2
4.3%
ValueCountFrequency (%)
326 1
2.2%
303 1
2.2%
301 1
2.2%
261 1
2.2%
260 2
4.3%
223 1
2.2%
189 1
2.2%
184 1
2.2%
173 1
2.2%
172 1
2.2%

초등학교(교원)(여)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)71.4%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean50.357143
Minimum33
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:47.345815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33.7
Q141.75
median45
Q351.5
95-th percentile80.5
Maximum108
Range75
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation16.495149
Coefficient of variation (CV)0.32756325
Kurtosis4.8381319
Mean50.357143
Median Absolute Deviation (MAD)5
Skewness2.039264
Sum1410
Variance272.08995
MonotonicityNot monotonic
2023-12-12T11:39:47.473594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
44 5
 
10.9%
41 2
 
4.3%
50 2
 
4.3%
33 2
 
4.3%
45 2
 
4.3%
51 1
 
2.2%
56 1
 
2.2%
35 1
 
2.2%
36 1
 
2.2%
68 1
 
2.2%
Other values (10) 10
21.7%
(Missing) 18
39.1%
ValueCountFrequency (%)
33 2
 
4.3%
35 1
 
2.2%
36 1
 
2.2%
38 1
 
2.2%
41 2
 
4.3%
42 1
 
2.2%
44 5
10.9%
45 2
 
4.3%
46 1
 
2.2%
47 1
 
2.2%
ValueCountFrequency (%)
108 1
2.2%
84 1
2.2%
74 1
2.2%
68 1
2.2%
66 1
2.2%
56 1
2.2%
53 1
2.2%
51 1
2.2%
50 2
4.3%
48 1
2.2%
Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:47.716990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.9565217
Min length1

Characters and Unicode

Total characters90
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)37.0%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
12 3
 
10.0%
14 2
 
6.7%
17 2
 
6.7%
13 2
 
6.7%
19 2
 
6.7%
16 2
 
6.7%
11 1
 
3.3%
46 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
Other values (13) 13
43.3%
2023-12-12T11:39:48.060812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
35.6%
1 17
18.9%
2 9
 
10.0%
4 6
 
6.7%
3 6
 
6.7%
6 5
 
5.6%
7 5
 
5.6%
9 3
 
3.3%
0 3
 
3.3%
5 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
64.4%
Space Separator 32
35.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
29.3%
2 9
15.5%
4 6
 
10.3%
3 6
 
10.3%
6 5
 
8.6%
7 5
 
8.6%
9 3
 
5.2%
0 3
 
5.2%
5 2
 
3.4%
8 2
 
3.4%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
35.6%
1 17
18.9%
2 9
 
10.0%
4 6
 
6.7%
3 6
 
6.7%
6 5
 
5.6%
7 5
 
5.6%
9 3
 
3.3%
0 3
 
3.3%
5 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
35.6%
1 17
18.9%
2 9
 
10.0%
4 6
 
6.7%
3 6
 
6.7%
6 5
 
5.6%
7 5
 
5.6%
9 3
 
3.3%
0 3
 
3.3%
5 2
 
2.2%

초등학교(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)67.9%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean16.571429
Minimum6
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:48.214779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.35
Q110
median14.5
Q322
95-th percentile32.9
Maximum38
Range32
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.8209707
Coefficient of variation (CV)0.53229996
Kurtosis-0.011256185
Mean16.571429
Median Absolute Deviation (MAD)6
Skewness0.86002908
Sum464
Variance77.809524
MonotonicityNot monotonic
2023-12-12T11:39:48.369951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
11 3
 
6.5%
22 3
 
6.5%
10 2
 
4.3%
7 2
 
4.3%
12 2
 
4.3%
15 2
 
4.3%
6 2
 
4.3%
24 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
Other values (9) 9
19.6%
(Missing) 18
39.1%
ValueCountFrequency (%)
6 2
4.3%
7 2
4.3%
8 1
 
2.2%
9 1
 
2.2%
10 2
4.3%
11 3
6.5%
12 2
4.3%
14 1
 
2.2%
15 2
4.3%
16 1
 
2.2%
ValueCountFrequency (%)
38 1
 
2.2%
35 1
 
2.2%
29 1
 
2.2%
28 1
 
2.2%
26 1
 
2.2%
24 1
 
2.2%
22 3
6.5%
20 1
 
2.2%
18 1
 
2.2%
16 1
 
2.2%

중학교(교원)(남)
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean921.95652
Minimum288
Maximum2503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:48.504571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum288
5-th percentile349.25
Q1494.25
median614.5
Q31077.75
95-th percentile2360.5
Maximum2503
Range2215
Interquartile range (IQR)583.5

Descriptive statistics

Standard deviation641.01
Coefficient of variation (CV)0.6952714
Kurtosis0.56798463
Mean921.95652
Median Absolute Deviation (MAD)211
Skewness1.3266255
Sum42410
Variance410893.82
MonotonicityNot monotonic
2023-12-12T11:39:48.658436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1748 1
 
2.2%
474 1
 
2.2%
350 1
 
2.2%
455 1
 
2.2%
349 1
 
2.2%
401 1
 
2.2%
550 1
 
2.2%
616 1
 
2.2%
415 1
 
2.2%
422 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
288 1
2.2%
331 1
2.2%
349 1
2.2%
350 1
2.2%
401 1
2.2%
406 1
2.2%
415 1
2.2%
422 1
2.2%
445 1
2.2%
455 1
2.2%
ValueCountFrequency (%)
2503 1
2.2%
2449 1
2.2%
2380 1
2.2%
2302 1
2.2%
2099 1
2.2%
1878 1
2.2%
1828 1
2.2%
1748 1
2.2%
1529 1
2.2%
1423 1
2.2%

중학교(교원)(여)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean233.64286
Minimum128
Maximum433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:48.813333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile137.95
Q1178.75
median217
Q3283.5
95-th percentile352.75
Maximum433
Range305
Interquartile range (IQR)104.75

Descriptive statistics

Standard deviation73.897935
Coefficient of variation (CV)0.31628587
Kurtosis0.46420798
Mean233.64286
Median Absolute Deviation (MAD)57
Skewness0.7659408
Sum6542
Variance5460.9048
MonotonicityNot monotonic
2023-12-12T11:39:48.960814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
309 2
 
4.3%
149 2
 
4.3%
178 1
 
2.2%
285 1
 
2.2%
283 1
 
2.2%
276 1
 
2.2%
243 1
 
2.2%
193 1
 
2.2%
330 1
 
2.2%
212 1
 
2.2%
Other values (16) 16
34.8%
(Missing) 18
39.1%
ValueCountFrequency (%)
128 1
2.2%
132 1
2.2%
149 2
4.3%
159 1
2.2%
168 1
2.2%
178 1
2.2%
179 1
2.2%
182 1
2.2%
193 1
2.2%
204 1
2.2%
ValueCountFrequency (%)
433 1
2.2%
365 1
2.2%
330 1
2.2%
309 2
4.3%
287 1
2.2%
285 1
2.2%
283 1
2.2%
276 1
2.2%
273 1
2.2%
243 1
2.2%
Distinct29
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:49.177508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.4130435
Min length2

Characters and Unicode

Total characters111
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)56.5%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
73 2
 
6.7%
85 2
 
6.7%
136 1
 
3.3%
78 1
 
3.3%
60 1
 
3.3%
86 1
 
3.3%
107 1
 
3.3%
96 1
 
3.3%
87 1
 
3.3%
57 1
 
3.3%
Other values (18) 18
60.0%
2023-12-12T11:39:49.532147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
28.8%
1 19
17.1%
2 11
 
9.9%
6 9
 
8.1%
7 8
 
7.2%
8 7
 
6.3%
0 7
 
6.3%
3 5
 
4.5%
9 5
 
4.5%
4 5
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
71.2%
Space Separator 32
28.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
24.1%
2 11
13.9%
6 9
11.4%
7 8
10.1%
8 7
 
8.9%
0 7
 
8.9%
3 5
 
6.3%
9 5
 
6.3%
4 5
 
6.3%
5 3
 
3.8%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
28.8%
1 19
17.1%
2 11
 
9.9%
6 9
 
8.1%
7 8
 
7.2%
8 7
 
6.3%
0 7
 
6.3%
3 5
 
4.5%
9 5
 
4.5%
4 5
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
28.8%
1 19
17.1%
2 11
 
9.9%
6 9
 
8.1%
7 8
 
7.2%
8 7
 
6.3%
0 7
 
6.3%
3 5
 
4.5%
9 5
 
4.5%
4 5
 
4.5%

중학교(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean38.964286
Minimum11
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:49.677924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15.35
Q121
median32.5
Q348.5
95-th percentile83.25
Maximum90
Range79
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation23.782163
Coefficient of variation (CV)0.61035798
Kurtosis-0.32840795
Mean38.964286
Median Absolute Deviation (MAD)11.5
Skewness1.0115403
Sum1091
Variance565.59127
MonotonicityNot monotonic
2023-12-12T11:39:49.801028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21 4
 
8.7%
28 2
 
4.3%
33 2
 
4.3%
34 2
 
4.3%
74 2
 
4.3%
46 1
 
2.2%
37 1
 
2.2%
32 1
 
2.2%
80 1
 
2.2%
90 1
 
2.2%
Other values (11) 11
23.9%
(Missing) 18
39.1%
ValueCountFrequency (%)
11 1
 
2.2%
15 1
 
2.2%
16 1
 
2.2%
18 1
 
2.2%
19 1
 
2.2%
21 4
8.7%
23 1
 
2.2%
28 2
4.3%
30 1
 
2.2%
32 1
 
2.2%
ValueCountFrequency (%)
90 1
2.2%
85 1
2.2%
80 1
2.2%
75 1
2.2%
74 2
4.3%
56 1
2.2%
46 1
2.2%
37 1
2.2%
36 1
2.2%
34 2
4.3%

고등학교(교원)(남)
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1681.913
Minimum741
Maximum2982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:49.960879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum741
5-th percentile874.25
Q11123.25
median1716
Q31992.75
95-th percentile2777.5
Maximum2982
Range2241
Interquartile range (IQR)869.5

Descriptive statistics

Standard deviation630.53011
Coefficient of variation (CV)0.37488865
Kurtosis-0.77661001
Mean1681.913
Median Absolute Deviation (MAD)511.5
Skewness0.45427132
Sum77368
Variance397568.21
MonotonicityNot monotonic
2023-12-12T11:39:50.127110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1711 1
 
2.2%
1148 1
 
2.2%
836 1
 
2.2%
866 1
 
2.2%
914 1
 
2.2%
899 1
 
2.2%
1320 1
 
2.2%
1354 1
 
2.2%
1028 1
 
2.2%
1057 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
741 1
2.2%
836 1
2.2%
866 1
2.2%
899 1
2.2%
914 1
2.2%
941 1
2.2%
949 1
2.2%
1010 1
2.2%
1028 1
2.2%
1057 1
2.2%
ValueCountFrequency (%)
2982 1
2.2%
2937 1
2.2%
2807 1
2.2%
2689 1
2.2%
2654 1
2.2%
2644 1
2.2%
2558 1
2.2%
2472 1
2.2%
2421 1
2.2%
2205 1
2.2%

고등학교(교원)(여)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean437.85714
Minimum218
Maximum664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:50.603206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum218
5-th percentile258.7
Q1344
median408
Q3571.25
95-th percentile627.95
Maximum664
Range446
Interquartile range (IQR)227.25

Descriptive statistics

Standard deviation129.83001
Coefficient of variation (CV)0.29651225
Kurtosis-1.1919247
Mean437.85714
Median Absolute Deviation (MAD)94.5
Skewness0.16387783
Sum12260
Variance16855.831
MonotonicityNot monotonic
2023-12-12T11:39:50.759517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
320 2
 
4.3%
357 1
 
2.2%
664 1
 
2.2%
600 1
 
2.2%
592 1
 
2.2%
590 1
 
2.2%
541 1
 
2.2%
485 1
 
2.2%
472 1
 
2.2%
575 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 18
39.1%
ValueCountFrequency (%)
218 1
2.2%
251 1
2.2%
273 1
2.2%
282 1
2.2%
307 1
2.2%
320 2
4.3%
352 1
2.2%
357 1
2.2%
368 1
2.2%
369 1
2.2%
ValueCountFrequency (%)
664 1
2.2%
643 1
2.2%
600 1
2.2%
598 1
2.2%
592 1
2.2%
590 1
2.2%
575 1
2.2%
570 1
2.2%
541 1
2.2%
492 1
2.2%
Distinct29
Distinct (%)67.4%
Missing3
Missing (%)6.5%
Memory size500.0 B
2023-12-12T11:39:50.956941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.6976744
Min length2

Characters and Unicode

Total characters116
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)60.5%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
182 2
 
6.7%
293 2
 
6.7%
467 1
 
3.3%
511 1
 
3.3%
206 1
 
3.3%
189 1
 
3.3%
685 1
 
3.3%
187 1
 
3.3%
258 1
 
3.3%
253 1
 
3.3%
Other values (18) 18
60.0%
2023-12-12T11:39:51.308691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
22.4%
2 18
15.5%
1 12
10.3%
3 11
9.5%
8 10
 
8.6%
4 9
 
7.8%
6 7
 
6.0%
5 7
 
6.0%
9 6
 
5.2%
7 5
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
77.6%
Space Separator 26
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
20.0%
1 12
13.3%
3 11
12.2%
8 10
11.1%
4 9
10.0%
6 7
 
7.8%
5 7
 
7.8%
9 6
 
6.7%
7 5
 
5.6%
0 5
 
5.6%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
26
22.4%
2 18
15.5%
1 12
10.3%
3 11
9.5%
8 10
 
8.6%
4 9
 
7.8%
6 7
 
6.0%
5 7
 
6.0%
9 6
 
5.2%
7 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
22.4%
2 18
15.5%
1 12
10.3%
3 11
9.5%
8 10
 
8.6%
4 9
 
7.8%
6 7
 
6.0%
5 7
 
6.0%
9 6
 
5.2%
7 5
 
4.3%

고등학교(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean108.71429
Minimum49
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:51.455345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile53.35
Q169.75
median84.5
Q3141.75
95-th percentile209.85
Maximum220
Range171
Interquartile range (IQR)72

Descriptive statistics

Standard deviation54.742398
Coefficient of variation (CV)0.50354374
Kurtosis-0.62577102
Mean108.71429
Median Absolute Deviation (MAD)19
Skewness0.93912867
Sum3044
Variance2996.7302
MonotonicityNot monotonic
2023-12-12T11:39:51.622931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
69 2
 
4.3%
220 1
 
2.2%
71 1
 
2.2%
53 1
 
2.2%
49 1
 
2.2%
54 1
 
2.2%
65 1
 
2.2%
66 1
 
2.2%
73 1
 
2.2%
76 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 18
39.1%
ValueCountFrequency (%)
49 1
2.2%
53 1
2.2%
54 1
2.2%
65 1
2.2%
66 1
2.2%
69 2
4.3%
70 1
2.2%
71 1
2.2%
72 1
2.2%
73 1
2.2%
ValueCountFrequency (%)
220 1
2.2%
213 1
2.2%
204 1
2.2%
192 1
2.2%
185 1
2.2%
180 1
2.2%
171 1
2.2%
132 1
2.2%
123 1
2.2%
106 1
2.2%

전문대학(교원)(남)
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.91304
Minimum34
Maximum968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:51.787911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile215
Q1330
median531
Q3706.75
95-th percentile852.5
Maximum968
Range934
Interquartile range (IQR)376.75

Descriptive statistics

Standard deviation230.97973
Coefficient of variation (CV)0.44087418
Kurtosis-0.90082955
Mean523.91304
Median Absolute Deviation (MAD)200
Skewness-0.02120499
Sum24100
Variance53351.637
MonotonicityNot monotonic
2023-12-12T11:39:51.970493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
531 2
 
4.3%
34 1
 
2.2%
916 1
 
2.2%
787 1
 
2.2%
848 1
 
2.2%
854 1
 
2.2%
785 1
 
2.2%
784 1
 
2.2%
761 1
 
2.2%
802 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
34 1
2.2%
89 1
2.2%
201 1
2.2%
257 1
2.2%
264 1
2.2%
265 1
2.2%
286 1
2.2%
300 1
2.2%
303 1
2.2%
312 1
2.2%
ValueCountFrequency (%)
968 1
2.2%
916 1
2.2%
854 1
2.2%
848 1
2.2%
802 1
2.2%
790 1
2.2%
787 1
2.2%
785 1
2.2%
784 1
2.2%
783 1
2.2%

전문대학(교원)(여)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean721.53571
Minimum257
Maximum1567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:52.120391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257
5-th percentile262.2
Q1302.75
median584.5
Q31098.5
95-th percentile1356.1
Maximum1567
Range1310
Interquartile range (IQR)795.75

Descriptive statistics

Standard deviation418.28703
Coefficient of variation (CV)0.5797177
Kurtosis-1.2367858
Mean721.53571
Median Absolute Deviation (MAD)304.5
Skewness0.42262015
Sum20203
Variance174964.04
MonotonicityNot monotonic
2023-12-12T11:39:52.288759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1567 1
 
2.2%
379 1
 
2.2%
304 1
 
2.2%
332 1
 
2.2%
292 1
 
2.2%
299 1
 
2.2%
281 1
 
2.2%
270 1
 
2.2%
258 1
 
2.2%
257 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 18
39.1%
ValueCountFrequency (%)
257 1
2.2%
258 1
2.2%
270 1
2.2%
281 1
2.2%
286 1
2.2%
292 1
2.2%
299 1
2.2%
304 1
2.2%
332 1
2.2%
379 1
2.2%
ValueCountFrequency (%)
1567 1
2.2%
1424 1
2.2%
1230 1
2.2%
1228 1
2.2%
1204 1
2.2%
1189 1
2.2%
1115 1
2.2%
1093 1
2.2%
1087 1
2.2%
972 1
2.2%
Distinct27
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:52.543842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.6521739
Min length2

Characters and Unicode

Total characters122
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)47.8%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
206 2
 
6.7%
267 2
 
6.7%
196 2
 
6.7%
249 2
 
6.7%
218 1
 
3.3%
266 1
 
3.3%
252 1
 
3.3%
296 1
 
3.3%
271 1
 
3.3%
265 1
 
3.3%
Other values (16) 16
53.3%
2023-12-12T11:39:52.909216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
26.2%
2 22
18.0%
6 13
10.7%
9 12
 
9.8%
7 12
 
9.8%
1 9
 
7.4%
5 7
 
5.7%
0 5
 
4.1%
3 4
 
3.3%
4 3
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
73.8%
Space Separator 32
 
26.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22
24.4%
6 13
14.4%
9 12
13.3%
7 12
13.3%
1 9
10.0%
5 7
 
7.8%
0 5
 
5.6%
3 4
 
4.4%
4 3
 
3.3%
8 3
 
3.3%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
26.2%
2 22
18.0%
6 13
10.7%
9 12
 
9.8%
7 12
 
9.8%
1 9
 
7.4%
5 7
 
5.7%
0 5
 
4.1%
3 4
 
3.3%
4 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
26.2%
2 22
18.0%
6 13
10.7%
9 12
 
9.8%
7 12
 
9.8%
1 9
 
7.4%
5 7
 
5.7%
0 5
 
4.1%
3 4
 
3.3%
4 3
 
2.5%

전문대학(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean201.78571
Minimum85
Maximum1729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:53.050217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile90.1
Q1127.25
median136.5
Q3158
95-th percentile252.95
Maximum1729
Range1644
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation302.26728
Coefficient of variation (CV)1.4979617
Kurtosis26.792977
Mean201.78571
Median Absolute Deviation (MAD)16.5
Skewness5.1290594
Sum5650
Variance91365.508
MonotonicityNot monotonic
2023-12-12T11:39:53.187962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
133 2
 
4.3%
136 2
 
4.3%
128 1
 
2.2%
164 1
 
2.2%
147 1
 
2.2%
135 1
 
2.2%
150 1
 
2.2%
114 1
 
2.2%
125 1
 
2.2%
206 1
 
2.2%
Other values (16) 16
34.8%
(Missing) 18
39.1%
ValueCountFrequency (%)
85 1
2.2%
88 1
2.2%
94 1
2.2%
99 1
2.2%
105 1
2.2%
114 1
2.2%
125 1
2.2%
128 1
2.2%
133 2
4.3%
134 1
2.2%
ValueCountFrequency (%)
1729 1
2.2%
268 1
2.2%
225 1
2.2%
223 1
2.2%
206 1
2.2%
171 1
2.2%
164 1
2.2%
156 1
2.2%
150 1
2.2%
147 1
2.2%

대학(교)(교원)(남)
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1684.8913
Minimum171
Maximum3550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:53.321203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171
5-th percentile250.5
Q1914.75
median1931
Q32471.25
95-th percentile3057.75
Maximum3550
Range3379
Interquartile range (IQR)1556.5

Descriptive statistics

Standard deviation958.72253
Coefficient of variation (CV)0.5690115
Kurtosis-1.1574604
Mean1684.8913
Median Absolute Deviation (MAD)800
Skewness-0.018594794
Sum77505
Variance919148.9
MonotonicityNot monotonic
2023-12-12T11:39:53.446355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
199 1
 
2.2%
2242 1
 
2.2%
2521 1
 
2.2%
2389 1
 
2.2%
2543 1
 
2.2%
2587 1
 
2.2%
2864 1
 
2.2%
2883 1
 
2.2%
3116 1
 
2.2%
3550 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
171 1
2.2%
199 1
2.2%
221 1
2.2%
339 1
2.2%
342 1
2.2%
343 1
2.2%
380 1
2.2%
425 1
2.2%
645 1
2.2%
800 1
2.2%
ValueCountFrequency (%)
3550 1
2.2%
3345 1
2.2%
3116 1
2.2%
2883 1
2.2%
2864 1
2.2%
2853 1
2.2%
2746 1
2.2%
2587 1
2.2%
2563 1
2.2%
2543 1
2.2%

대학(교)(교원)(여)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2097.9643
Minimum687
Maximum5385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:53.584433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum687
5-th percentile725.1
Q1758
median1287.5
Q33063.25
95-th percentile5142
Maximum5385
Range4698
Interquartile range (IQR)2305.25

Descriptive statistics

Standard deviation1613.1465
Coefficient of variation (CV)0.76891037
Kurtosis-0.59728935
Mean2097.9643
Median Absolute Deviation (MAD)562
Skewness0.91478378
Sum58743
Variance2602241.6
MonotonicityNot monotonic
2023-12-12T11:39:53.718508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
729 2
 
4.3%
899 1
 
2.2%
831 1
 
2.2%
760 1
 
2.2%
906 1
 
2.2%
746 1
 
2.2%
687 1
 
2.2%
723 1
 
2.2%
737 1
 
2.2%
782 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 18
39.1%
ValueCountFrequency (%)
687 1
2.2%
723 1
2.2%
729 2
4.3%
737 1
2.2%
746 1
2.2%
752 1
2.2%
760 1
2.2%
782 1
2.2%
831 1
2.2%
899 1
2.2%
ValueCountFrequency (%)
5385 1
2.2%
5177 1
2.2%
5077 1
2.2%
4735 1
2.2%
4185 1
2.2%
3811 1
2.2%
3415 1
2.2%
2946 1
2.2%
2727 1
2.2%
2600 1
2.2%
Distinct31
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:53.939244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2608696
Min length2

Characters and Unicode

Total characters150
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
3297 1
 
3.3%
3938 1
 
3.3%
4864 1
 
3.3%
4684 1
 
3.3%
4420 1
 
3.3%
4409 1
 
3.3%
4153 1
 
3.3%
3141 1
 
3.3%
3314 1
 
3.3%
3161 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T11:39:54.309834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
21.3%
2 22
14.7%
4 15
10.0%
8 14
9.3%
6 13
8.7%
3 12
 
8.0%
1 12
 
8.0%
9 10
 
6.7%
0 10
 
6.7%
7 7
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
78.7%
Space Separator 32
 
21.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22
18.6%
4 15
12.7%
8 14
11.9%
6 13
11.0%
3 12
10.2%
1 12
10.2%
9 10
8.5%
0 10
8.5%
7 7
 
5.9%
5 3
 
2.5%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
21.3%
2 22
14.7%
4 15
10.0%
8 14
9.3%
6 13
8.7%
3 12
 
8.0%
1 12
 
8.0%
9 10
 
6.7%
0 10
 
6.7%
7 7
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
21.3%
2 22
14.7%
4 15
10.0%
8 14
9.3%
6 13
8.7%
3 12
 
8.0%
1 12
 
8.0%
9 10
 
6.7%
0 10
 
6.7%
7 7
 
4.7%

대학(교)(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean5264.4643
Minimum2295
Maximum11291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:54.443164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2295
5-th percentile2795.35
Q13276.25
median4481
Q36340
95-th percentile9888.4
Maximum11291
Range8996
Interquartile range (IQR)3063.75

Descriptive statistics

Standard deviation2609.416
Coefficient of variation (CV)0.49566601
Kurtosis-0.27964963
Mean5264.4643
Median Absolute Deviation (MAD)1214.5
Skewness1.0077974
Sum147405
Variance6809052
MonotonicityNot monotonic
2023-12-12T11:39:54.582827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4762 1
 
2.2%
11291 1
 
2.2%
10069 1
 
2.2%
8818 1
 
2.2%
9115 1
 
2.2%
9034 1
 
2.2%
7561 1
 
2.2%
5933 1
 
2.2%
5376 1
 
2.2%
5158 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 18
39.1%
ValueCountFrequency (%)
2295 1
2.2%
2711 1
2.2%
2952 1
2.2%
3002 1
2.2%
3027 1
2.2%
3259 1
2.2%
3274 1
2.2%
3277 1
2.2%
3289 1
2.2%
3497 1
2.2%
ValueCountFrequency (%)
11291 1
2.2%
10069 1
2.2%
9553 1
2.2%
9115 1
2.2%
9034 1
2.2%
8818 1
2.2%
7561 1
2.2%
5933 1
2.2%
5376 1
2.2%
5158 1
2.2%
Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:54.768211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.0217391
Min length2

Characters and Unicode

Total characters93
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)34.8%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
39 3
 
10.0%
28 3
 
10.0%
31 2
 
6.7%
59 2
 
6.7%
41 2
 
6.7%
32 2
 
6.7%
77 1
 
3.3%
53 1
 
3.3%
30 1
 
3.3%
35 1
 
3.3%
Other values (12) 12
40.0%
2023-12-12T11:39:55.189961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
34.4%
3 11
 
11.8%
2 10
 
10.8%
5 8
 
8.6%
9 7
 
7.5%
4 7
 
7.5%
1 6
 
6.5%
8 3
 
3.2%
0 3
 
3.2%
7 3
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61
65.6%
Space Separator 32
34.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11
18.0%
2 10
16.4%
5 8
13.1%
9 7
11.5%
4 7
11.5%
1 6
9.8%
8 3
 
4.9%
0 3
 
4.9%
7 3
 
4.9%
6 3
 
4.9%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
34.4%
3 11
 
11.8%
2 10
 
10.8%
5 8
 
8.6%
9 7
 
7.5%
4 7
 
7.5%
1 6
 
6.5%
8 3
 
3.2%
0 3
 
3.2%
7 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
34.4%
3 11
 
11.8%
2 10
 
10.8%
5 8
 
8.6%
9 7
 
7.5%
4 7
 
7.5%
1 6
 
6.5%
8 3
 
3.2%
0 3
 
3.2%
7 3
 
3.2%

특수학교(교원)(여)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean58.535714
Minimum33
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:55.344736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile37
Q141.75
median52
Q365.25
95-th percentile109.45
Maximum146
Range113
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation25.542241
Coefficient of variation (CV)0.43635311
Kurtosis4.5805507
Mean58.535714
Median Absolute Deviation (MAD)12
Skewness2.0098344
Sum1639
Variance652.40608
MonotonicityNot monotonic
2023-12-12T11:39:55.472506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
43 3
 
6.5%
37 3
 
6.5%
53 1
 
2.2%
62 1
 
2.2%
55 1
 
2.2%
56 1
 
2.2%
75 1
 
2.2%
42 1
 
2.2%
41 1
 
2.2%
68 1
 
2.2%
Other values (14) 14
30.4%
(Missing) 18
39.1%
ValueCountFrequency (%)
33 1
 
2.2%
37 3
6.5%
38 1
 
2.2%
40 1
 
2.2%
41 1
 
2.2%
42 1
 
2.2%
43 3
6.5%
48 1
 
2.2%
50 1
 
2.2%
51 1
 
2.2%
ValueCountFrequency (%)
146 1
2.2%
114 1
2.2%
101 1
2.2%
75 1
2.2%
72 1
2.2%
68 1
2.2%
66 1
2.2%
65 1
2.2%
64 1
2.2%
62 1
2.2%
Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:55.655414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters92
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)41.3%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
34 5
 
16.7%
38 2
 
6.7%
40 2
 
6.7%
27 2
 
6.7%
25 1
 
3.3%
16 1
 
3.3%
37 1
 
3.3%
30 1
 
3.3%
35 1
 
3.3%
20 1
 
3.3%
Other values (13) 13
43.3%
2023-12-12T11:39:55.967145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
34.8%
3 15
16.3%
2 11
 
12.0%
4 9
 
9.8%
6 5
 
5.4%
7 4
 
4.3%
0 4
 
4.3%
8 3
 
3.3%
5 3
 
3.3%
9 3
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
65.2%
Space Separator 32
34.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15
25.0%
2 11
18.3%
4 9
15.0%
6 5
 
8.3%
7 4
 
6.7%
0 4
 
6.7%
8 3
 
5.0%
5 3
 
5.0%
9 3
 
5.0%
1 3
 
5.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
34.8%
3 15
16.3%
2 11
 
12.0%
4 9
 
9.8%
6 5
 
5.4%
7 4
 
4.3%
0 4
 
4.3%
8 3
 
3.3%
5 3
 
3.3%
9 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
34.8%
3 15
16.3%
2 11
 
12.0%
4 9
 
9.8%
6 5
 
5.4%
7 4
 
4.3%
0 4
 
4.3%
8 3
 
3.3%
5 3
 
3.3%
9 3
 
3.3%

특수학교(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean28.964286
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:56.134746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.35
Q117.25
median23.5
Q346
95-th percentile56.65
Maximum60
Range50
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation15.720904
Coefficient of variation (CV)0.54276858
Kurtosis-0.89591374
Mean28.964286
Median Absolute Deviation (MAD)9.5
Skewness0.71239779
Sum811
Variance247.14683
MonotonicityNot monotonic
2023-12-12T11:39:56.288387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 4
 
8.7%
14 3
 
6.5%
48 2
 
4.3%
46 2
 
4.3%
56 1
 
2.2%
60 1
 
2.2%
10 1
 
2.2%
22 1
 
2.2%
15 1
 
2.2%
12 1
 
2.2%
Other values (11) 11
23.9%
(Missing) 18
39.1%
ValueCountFrequency (%)
10 1
 
2.2%
11 1
 
2.2%
12 1
 
2.2%
14 3
6.5%
15 1
 
2.2%
18 1
 
2.2%
20 4
8.7%
21 1
 
2.2%
22 1
 
2.2%
25 1
 
2.2%
ValueCountFrequency (%)
60 1
2.2%
57 1
2.2%
56 1
2.2%
50 1
2.2%
48 2
4.3%
46 2
4.3%
34 1
2.2%
29 1
2.2%
28 1
2.2%
27 1
2.2%
Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T11:39:56.504734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.0434783
Min length2

Characters and Unicode

Total characters94
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)60.9%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
27 2
 
6.7%
57 1
 
3.3%
135 1
 
3.3%
30 1
 
3.3%
26 1
 
3.3%
29 1
 
3.3%
50 1
 
3.3%
37 1
 
3.3%
54 1
 
3.3%
45 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T11:39:56.857904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
34.0%
5 12
 
12.8%
7 8
 
8.5%
2 7
 
7.4%
1 6
 
6.4%
4 6
 
6.4%
3 6
 
6.4%
9 6
 
6.4%
6 5
 
5.3%
8 4
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
66.0%
Space Separator 32
34.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12
19.4%
7 8
12.9%
2 7
11.3%
1 6
9.7%
4 6
9.7%
3 6
9.7%
9 6
9.7%
6 5
8.1%
8 4
 
6.5%
0 2
 
3.2%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
34.0%
5 12
 
12.8%
7 8
 
8.5%
2 7
 
7.4%
1 6
 
6.4%
4 6
 
6.4%
3 6
 
6.4%
9 6
 
6.4%
6 5
 
5.3%
8 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
34.0%
5 12
 
12.8%
7 8
 
8.5%
2 7
 
7.4%
1 6
 
6.4%
4 6
 
6.4%
3 6
 
6.4%
9 6
 
6.4%
6 5
 
5.3%
8 4
 
4.3%

학교경영기관(사무직원)(여)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)64.3%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum6
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T11:39:57.025022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7.35
Q117
median20.5
Q324
95-th percentile36.9
Maximum45
Range39
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.6559763
Coefficient of variation (CV)0.40260355
Kurtosis1.3339362
Mean21.5
Median Absolute Deviation (MAD)3.5
Skewness0.68781224
Sum602
Variance74.925926
MonotonicityNot monotonic
2023-12-12T11:39:57.170809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
22 3
 
6.5%
20 3
 
6.5%
21 2
 
4.3%
16 2
 
4.3%
19 2
 
4.3%
17 2
 
4.3%
23 2
 
4.3%
28 2
 
4.3%
27 1
 
2.2%
39 1
 
2.2%
Other values (8) 8
17.4%
(Missing) 18
39.1%
ValueCountFrequency (%)
6 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
14 1
 
2.2%
16 2
4.3%
17 2
4.3%
18 1
 
2.2%
19 2
4.3%
20 3
6.5%
21 2
4.3%
ValueCountFrequency (%)
45 1
 
2.2%
39 1
 
2.2%
33 1
 
2.2%
31 1
 
2.2%
28 2
4.3%
27 1
 
2.2%
23 2
4.3%
22 3
6.5%
21 2
4.3%
20 3
6.5%

Sample

연도교원사무직원유치원(교원)(남)유치원(교원)(여)유치원(사무직원)(남)유치원(사무직원)(여)초등학교(교원)(남)초등학교(교원)(여)초등학교(사무직원)(남)초등학교(사무직원)(여)중학교(교원)(남)중학교(교원)(여)중학교(사무직원)(남)중학교(사무직원)(여)고등학교(교원)(남)고등학교(교원)(여)고등학교(사무직원)(남)고등학교(사무직원)(여)전문대학(교원)(남)전문대학(교원)(여)전문대학(사무직원)(남)전문대학(사무직원)(여)대학(교)(교원)(남)대학(교)(교원)(여)대학(교)(사무직원)(남)대학(교)(사무직원)(여)특수학교(교원)(남)특수학교(교원)(여)특수학교(사무직원)(남)특수학교(사무직원)(여)학교경영기관(사무직원)(남)학교경영기관(사무직원)(여)
019773777<NA><NA>85<NA><NA>1748<NA><NA>1711<NA><NA><NA>34<NA><NA>199<NA><NA><NA><NA><NA>
1197853492752<NA><NA>101<NA><NA>2380<NA><NA>2558<NA><NA><NA>89<NA><NA>221<NA><NA><NA><NA><NA>
2197955813470<NA><NA>116<NA><NA>2449<NA><NA>2644<NA><NA><NA>201<NA><NA>171<NA><NA><NA><NA><NA>
3198059223257<NA><NA>140<NA><NA>2503<NA><NA>2654<NA><NA>286<NA><NA>339<NA><NA><NA><NA><NA>
4198158973524<NA><NA>189<NA><NA>2302<NA><NA>2807<NA><NA>257<NA><NA>342<NA><NA><NA><NA><NA>
5198258163819<NA><NA>172<NA><NA>2099<NA><NA>2937<NA><NA>265<NA><NA>343<NA><NA><NA><NA><NA>
6198354254409<NA><NA>167<NA><NA>1828<NA><NA>2689<NA><NA>361<NA><NA>380<NA><NA><NA><NA><NA>
7198449394483<NA><NA>184<NA><NA>1529<NA><NA>2472<NA><NA>329<NA><NA>425<NA><NA><NA><NA><NA>
8198549264726<NA><NA>173<NA><NA>1423<NA><NA>2421<NA><NA>264<NA><NA>645<NA><NA><NA><NA><NA>
9198646204500<NA><NA>261<NA><NA>1233<NA><NA>1993<NA><NA>333<NA><NA>800<NA><NA><NA><NA><NA>
연도교원사무직원유치원(교원)(남)유치원(교원)(여)유치원(사무직원)(남)유치원(사무직원)(여)초등학교(교원)(남)초등학교(교원)(여)초등학교(사무직원)(남)초등학교(사무직원)(여)중학교(교원)(남)중학교(교원)(여)중학교(사무직원)(남)중학교(사무직원)(여)고등학교(교원)(남)고등학교(교원)(여)고등학교(사무직원)(남)고등학교(사무직원)(여)전문대학(교원)(남)전문대학(교원)(여)전문대학(사무직원)(남)전문대학(사무직원)(여)대학(교)(교원)(남)대학(교)(교원)(여)대학(교)(사무직원)(남)대학(교)(사무직원)(여)특수학교(교원)(남)특수학교(교원)(여)특수학교(사무직원)(남)특수학교(사무직원)(여)학교경영기관(사무직원)(남)학교경영기관(사무직원)(여)
362013117279865545655159419453311114952135721118241920876531286265268196378231515113323719204522
3720141200110080735709148603475014114992128728140838821473530257271206203073731615158283320115421
3820151345710482666256181654556814126873309616184257525366531258267125195772333145376416834213716
3920161361811049887520194777433610644519310723139347225865498270296114190568731415933313735205020
402017165901366211797962229554450984942437311142648518754548281206136228974641537561304130122916
4120181838015694130104242631139384579534276861917285411826961229925215027469064409903459422715276
422019190541561815311197245101629351666132836021191059018249653292249135243672944209115597537222619
432020176201547912796882639402644137598309781519035921895360033220613325637294684881853562220308
442021168371665910990811666622444131152528585211866600206716603042661472483760486410069415527102714
4520221750117905119888412956932441675773096318199266418369700379279164285383150271129155623414357