Overview

Dataset statistics

Number of variables23
Number of observations4576
Missing cells4416
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory844.7 KiB
Average record size in memory189.0 B

Variable types

Categorical4
Text18
Numeric1

Dataset

Description1992년부터 2010년까지 국가기술자격 종목, 연도, 성별 교부자 및 취득자수 통계에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15120657/fileData.do

Alerts

Y2008년 is highly imbalanced (67.1%)Imbalance
Y2009년 is highly imbalanced (67.1%)Imbalance
Y2010년 is highly imbalanced (67.1%)Imbalance
Y1992년 has 276 (6.0%) missing valuesMissing
Y1993년 has 276 (6.0%) missing valuesMissing
Y1994년 has 276 (6.0%) missing valuesMissing
Y1995년 has 276 (6.0%) missing valuesMissing
Y1996년 has 276 (6.0%) missing valuesMissing
Y1997년 has 276 (6.0%) missing valuesMissing
Y1998년 has 276 (6.0%) missing valuesMissing
Y1999년 has 276 (6.0%) missing valuesMissing
Y2000년 has 276 (6.0%) missing valuesMissing
Y2001년 has 276 (6.0%) missing valuesMissing
Y2002년 has 276 (6.0%) missing valuesMissing
Y2003년 has 276 (6.0%) missing valuesMissing
Y2004년 has 276 (6.0%) missing valuesMissing
Y2005년 has 276 (6.0%) missing valuesMissing
Y2006년 has 276 (6.0%) missing valuesMissing
Y2007년 has 276 (6.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:35:15.516566
Analysis finished2023-12-12 20:35:16.662938
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
1
2288 
2
2288 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2288
50.0%
2 2288
50.0%

Length

2023-12-13T05:35:16.737668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:16.848398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2288
50.0%
2 2288
50.0%

구분
Text

Distinct648
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T05:35:17.202579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.5568182
Min length3

Characters and Unicode

Total characters39156
Distinct characters317
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분야계 계
2nd row
3rd row[ 통신 ]
4th row정보통신 계
5th row
ValueCountFrequency (%)
2150
27.7%
2150
27.7%
508
 
6.5%
분야계 254
 
3.3%
비파괴검사 46
 
0.6%
기계 38
 
0.5%
정비 34
 
0.4%
전기 28
 
0.4%
건설기계 20
 
0.3%
조리 20
 
0.3%
Other values (601) 2526
32.5%
2023-12-13T05:35:17.724171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24130
61.6%
2614
 
6.7%
2150
 
5.5%
416
 
1.1%
284
 
0.7%
270
 
0.7%
262
 
0.7%
[ 254
 
0.6%
] 254
 
0.6%
248
 
0.6%
Other values (307) 8274
 
21.1%

Most occurring categories

ValueCountFrequency (%)
Space Separator 24130
61.6%
Other Letter 14016
35.8%
Open Punctuation 452
 
1.2%
Close Punctuation 452
 
1.2%
Decimal Number 48
 
0.1%
Uppercase Letter 26
 
0.1%
Other Punctuation 18
 
< 0.1%
Dash Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2614
 
18.7%
2150
 
15.3%
416
 
3.0%
284
 
2.0%
270
 
1.9%
262
 
1.9%
248
 
1.8%
236
 
1.7%
224
 
1.6%
198
 
1.4%
Other values (282) 7114
50.8%
Uppercase Letter
ValueCountFrequency (%)
S 4
15.4%
M 4
15.4%
T 4
15.4%
G 2
7.7%
B 2
7.7%
A 2
7.7%
D 2
7.7%
C 2
7.7%
E 2
7.7%
F 2
7.7%
Decimal Number
ValueCountFrequency (%)
8 14
29.2%
2 14
29.2%
1 8
16.7%
3 4
 
8.3%
4 4
 
8.3%
6 2
 
4.2%
5 2
 
4.2%
Open Punctuation
ValueCountFrequency (%)
[ 254
56.2%
( 198
43.8%
Close Punctuation
ValueCountFrequency (%)
] 254
56.2%
) 198
43.8%
Other Punctuation
ValueCountFrequency (%)
, 10
55.6%
. 8
44.4%
Space Separator
ValueCountFrequency (%)
24130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25114
64.1%
Hangul 14016
35.8%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2614
 
18.7%
2150
 
15.3%
416
 
3.0%
284
 
2.0%
270
 
1.9%
262
 
1.9%
248
 
1.8%
236
 
1.7%
224
 
1.6%
198
 
1.4%
Other values (282) 7114
50.8%
Common
ValueCountFrequency (%)
24130
96.1%
[ 254
 
1.0%
] 254
 
1.0%
( 198
 
0.8%
) 198
 
0.8%
- 14
 
0.1%
8 14
 
0.1%
2 14
 
0.1%
, 10
 
< 0.1%
1 8
 
< 0.1%
Other values (5) 20
 
0.1%
Latin
ValueCountFrequency (%)
S 4
15.4%
M 4
15.4%
T 4
15.4%
G 2
7.7%
B 2
7.7%
A 2
7.7%
D 2
7.7%
C 2
7.7%
E 2
7.7%
F 2
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25140
64.2%
Hangul 14016
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24130
96.0%
[ 254
 
1.0%
] 254
 
1.0%
( 198
 
0.8%
) 198
 
0.8%
- 14
 
0.1%
8 14
 
0.1%
2 14
 
0.1%
, 10
 
< 0.1%
1 8
 
< 0.1%
Other values (15) 46
 
0.2%
Hangul
ValueCountFrequency (%)
2614
 
18.7%
2150
 
15.3%
416
 
3.0%
284
 
2.0%
270
 
1.9%
262
 
1.9%
248
 
1.8%
236
 
1.7%
224
 
1.6%
198
 
1.4%
Other values (282) 7114
50.8%

순번
Text

Distinct2288
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T05:35:18.227832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.0795455
Min length1

Characters and Unicode

Total characters18668
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

Unique0 ?
Unique (%)0.0%

Sample

1st row475
2nd row476
3rd row477
4th row478
5th row479
ValueCountFrequency (%)
475 2
 
< 0.1%
1,498 2
 
< 0.1%
1,500 2
 
< 0.1%
1,493 2
 
< 0.1%
1,494 2
 
< 0.1%
1,495 2
 
< 0.1%
1,496 2
 
< 0.1%
1,497 2
 
< 0.1%
1,491 2
 
< 0.1%
1,490 2
 
< 0.1%
Other values (2278) 4556
99.6%
2023-12-13T05:35:18.806268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3518
18.8%
, 2578
13.8%
2 2074
11.1%
4 1318
 
7.1%
7 1318
 
7.1%
5 1318
 
7.1%
3 1318
 
7.1%
6 1318
 
7.1%
8 1316
 
7.0%
9 1296
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16090
86.2%
Other Punctuation 2578
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3518
21.9%
2 2074
12.9%
4 1318
 
8.2%
7 1318
 
8.2%
5 1318
 
8.2%
3 1318
 
8.2%
6 1318
 
8.2%
8 1316
 
8.2%
9 1296
 
8.1%
0 1296
 
8.1%
Other Punctuation
ValueCountFrequency (%)
, 2578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3518
18.8%
, 2578
13.8%
2 2074
11.1%
4 1318
 
7.1%
7 1318
 
7.1%
5 1318
 
7.1%
3 1318
 
7.1%
6 1318
 
7.1%
8 1316
 
7.0%
9 1296
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3518
18.8%
, 2578
13.8%
2 2074
11.1%
4 1318
 
7.1%
7 1318
 
7.1%
5 1318
 
7.1%
3 1318
 
7.1%
6 1318
 
7.1%
8 1316
 
7.0%
9 1296
 
6.9%

등급구분
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4916958
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.3 KiB
2023-12-13T05:35:18.914542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9441201
Coefficient of variation (CV)0.43282543
Kurtosis-1.0580024
Mean4.4916958
Median Absolute Deviation (MAD)2
Skewness-0.32083156
Sum20554
Variance3.7796032
MonotonicityNot monotonic
2023-12-13T05:35:19.047604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1206
26.4%
4 1096
24.0%
7 812
17.7%
3 652
14.2%
1 512
11.2%
2 236
 
5.2%
5 62
 
1.4%
ValueCountFrequency (%)
1 512
11.2%
2 236
 
5.2%
3 652
14.2%
4 1096
24.0%
5 62
 
1.4%
6 1206
26.4%
7 812
17.7%
ValueCountFrequency (%)
7 812
17.7%
6 1206
26.4%
5 62
 
1.4%
4 1096
24.0%
3 652
14.2%
2 236
 
5.2%
1 512
11.2%

Y1992년
Text

MISSING 

Distinct1157
Distinct (%)26.9%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:19.394738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.2272093
Min length1

Characters and Unicode

Total characters9577
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

Unique853 ?
Unique (%)19.8%

Sample

1st row5,597
2nd row65
3rd row1,935
4th row11
5th row0
ValueCountFrequency (%)
0 1428
33.2%
1 215
 
5.0%
2 130
 
3.0%
3 95
 
2.2%
5 55
 
1.3%
4 47
 
1.1%
7 44
 
1.0%
6 43
 
1.0%
8 41
 
1.0%
13 34
 
0.8%
Other values (1147) 2168
50.4%
2023-12-13T05:35:19.868897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1964
20.5%
1 1506
15.7%
2 1010
10.5%
3 849
8.9%
, 721
 
7.5%
4 688
 
7.2%
5 632
 
6.6%
6 622
 
6.5%
8 535
 
5.6%
7 533
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8856
92.5%
Other Punctuation 721
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1964
22.2%
1 1506
17.0%
2 1010
11.4%
3 849
9.6%
4 688
 
7.8%
5 632
 
7.1%
6 622
 
7.0%
8 535
 
6.0%
7 533
 
6.0%
9 517
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 721
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9577
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1964
20.5%
1 1506
15.7%
2 1010
10.5%
3 849
8.9%
, 721
 
7.5%
4 688
 
7.2%
5 632
 
6.6%
6 622
 
6.5%
8 535
 
5.6%
7 533
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1964
20.5%
1 1506
15.7%
2 1010
10.5%
3 849
8.9%
, 721
 
7.5%
4 688
 
7.2%
5 632
 
6.6%
6 622
 
6.5%
8 535
 
5.6%
7 533
 
5.6%

Y1993년
Text

MISSING 

Distinct631
Distinct (%)14.7%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:20.228273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.5904651
Min length1

Characters and Unicode

Total characters6839
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

Unique428 ?
Unique (%)10.0%

Sample

1st row219
2nd row26
3rd row178
4th row7
5th row0
ValueCountFrequency (%)
0 2379
55.3%
1 201
 
4.7%
2 113
 
2.6%
3 67
 
1.6%
4 56
 
1.3%
8 41
 
1.0%
5 40
 
0.9%
6 36
 
0.8%
7 33
 
0.8%
10 27
 
0.6%
Other values (621) 1307
30.4%
2023-12-13T05:35:20.770826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2640
38.6%
1 946
 
13.8%
2 628
 
9.2%
3 470
 
6.9%
4 386
 
5.6%
5 349
 
5.1%
6 344
 
5.0%
7 294
 
4.3%
8 280
 
4.1%
9 258
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6595
96.4%
Other Punctuation 244
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2640
40.0%
1 946
 
14.3%
2 628
 
9.5%
3 470
 
7.1%
4 386
 
5.9%
5 349
 
5.3%
6 344
 
5.2%
7 294
 
4.5%
8 280
 
4.2%
9 258
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2640
38.6%
1 946
 
13.8%
2 628
 
9.2%
3 470
 
6.9%
4 386
 
5.6%
5 349
 
5.1%
6 344
 
5.0%
7 294
 
4.3%
8 280
 
4.1%
9 258
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2640
38.6%
1 946
 
13.8%
2 628
 
9.2%
3 470
 
6.9%
4 386
 
5.6%
5 349
 
5.1%
6 344
 
5.0%
7 294
 
4.3%
8 280
 
4.1%
9 258
 
3.8%

Y1994년
Text

MISSING 

Distinct633
Distinct (%)14.7%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:21.135589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.5883721
Min length1

Characters and Unicode

Total characters6830
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

Unique434 ?
Unique (%)10.1%

Sample

1st row89
2nd row5
3rd row249
4th row10
5th row0
ValueCountFrequency (%)
0 2430
56.5%
1 155
 
3.6%
2 109
 
2.5%
3 69
 
1.6%
4 62
 
1.4%
6 45
 
1.0%
5 40
 
0.9%
7 37
 
0.9%
8 34
 
0.8%
16 28
 
0.7%
Other values (623) 1291
30.0%
2023-12-13T05:35:21.667996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2679
39.2%
1 858
 
12.6%
2 599
 
8.8%
3 447
 
6.5%
4 412
 
6.0%
6 346
 
5.1%
5 320
 
4.7%
8 320
 
4.7%
7 319
 
4.7%
9 281
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6581
96.4%
Other Punctuation 249
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2679
40.7%
1 858
 
13.0%
2 599
 
9.1%
3 447
 
6.8%
4 412
 
6.3%
6 346
 
5.3%
5 320
 
4.9%
8 320
 
4.9%
7 319
 
4.8%
9 281
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2679
39.2%
1 858
 
12.6%
2 599
 
8.8%
3 447
 
6.5%
4 412
 
6.0%
6 346
 
5.1%
5 320
 
4.7%
8 320
 
4.7%
7 319
 
4.7%
9 281
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2679
39.2%
1 858
 
12.6%
2 599
 
8.8%
3 447
 
6.5%
4 412
 
6.0%
6 346
 
5.1%
5 320
 
4.7%
8 320
 
4.7%
7 319
 
4.7%
9 281
 
4.1%

Y1995년
Text

MISSING 

Distinct696
Distinct (%)16.2%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:22.040641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6513953
Min length1

Characters and Unicode

Total characters7101
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

Unique492 ?
Unique (%)11.4%

Sample

1st row255
2nd row20
3rd row498
4th row30
5th row0
ValueCountFrequency (%)
0 2276
52.9%
1 191
 
4.4%
3 108
 
2.5%
2 68
 
1.6%
5 48
 
1.1%
4 45
 
1.0%
8 45
 
1.0%
6 29
 
0.7%
9 27
 
0.6%
7 25
 
0.6%
Other values (686) 1438
33.4%
2023-12-13T05:35:22.684767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2592
36.5%
1 919
 
12.9%
2 638
 
9.0%
3 544
 
7.7%
4 401
 
5.6%
5 379
 
5.3%
7 368
 
5.2%
8 334
 
4.7%
6 334
 
4.7%
9 319
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6828
96.2%
Other Punctuation 273
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2592
38.0%
1 919
 
13.5%
2 638
 
9.3%
3 544
 
8.0%
4 401
 
5.9%
5 379
 
5.6%
7 368
 
5.4%
8 334
 
4.9%
6 334
 
4.9%
9 319
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2592
36.5%
1 919
 
12.9%
2 638
 
9.0%
3 544
 
7.7%
4 401
 
5.6%
5 379
 
5.3%
7 368
 
5.2%
8 334
 
4.7%
6 334
 
4.7%
9 319
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2592
36.5%
1 919
 
12.9%
2 638
 
9.0%
3 544
 
7.7%
4 401
 
5.6%
5 379
 
5.3%
7 368
 
5.2%
8 334
 
4.7%
6 334
 
4.7%
9 319
 
4.5%

Y1996년
Text

MISSING 

Distinct673
Distinct (%)15.7%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:23.112509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6574419
Min length1

Characters and Unicode

Total characters7127
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

Unique466 ?
Unique (%)10.8%

Sample

1st row215
2nd row19
3rd row286
4th row15
5th row0
ValueCountFrequency (%)
0 2207
51.3%
1 193
 
4.5%
2 90
 
2.1%
3 85
 
2.0%
4 79
 
1.8%
5 56
 
1.3%
6 37
 
0.9%
10 32
 
0.7%
7 29
 
0.7%
9 29
 
0.7%
Other values (663) 1463
34.0%
2023-12-13T05:35:23.735918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2503
35.1%
1 919
 
12.9%
2 668
 
9.4%
3 511
 
7.2%
4 506
 
7.1%
5 405
 
5.7%
6 372
 
5.2%
7 351
 
4.9%
9 326
 
4.6%
8 283
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6844
96.0%
Other Punctuation 283
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2503
36.6%
1 919
 
13.4%
2 668
 
9.8%
3 511
 
7.5%
4 506
 
7.4%
5 405
 
5.9%
6 372
 
5.4%
7 351
 
5.1%
9 326
 
4.8%
8 283
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2503
35.1%
1 919
 
12.9%
2 668
 
9.4%
3 511
 
7.2%
4 506
 
7.1%
5 405
 
5.7%
6 372
 
5.2%
7 351
 
4.9%
9 326
 
4.6%
8 283
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2503
35.1%
1 919
 
12.9%
2 668
 
9.4%
3 511
 
7.2%
4 506
 
7.1%
5 405
 
5.7%
6 372
 
5.2%
7 351
 
4.9%
9 326
 
4.6%
8 283
 
4.0%

Y1997년
Text

MISSING 

Distinct701
Distinct (%)16.3%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:24.152283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6781395
Min length1

Characters and Unicode

Total characters7216
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

Unique476 ?
Unique (%)11.1%

Sample

1st row166
2nd row15
3rd row283
4th row27
5th row0
ValueCountFrequency (%)
0 2209
51.4%
1 171
 
4.0%
2 97
 
2.3%
3 90
 
2.1%
4 54
 
1.3%
7 48
 
1.1%
6 41
 
1.0%
5 39
 
0.9%
11 34
 
0.8%
12 31
 
0.7%
Other values (691) 1486
34.6%
2023-12-13T05:35:24.722832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2508
34.8%
1 1013
14.0%
2 648
 
9.0%
3 534
 
7.4%
4 426
 
5.9%
5 408
 
5.7%
6 386
 
5.3%
7 359
 
5.0%
8 359
 
5.0%
9 288
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6929
96.0%
Other Punctuation 287
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2508
36.2%
1 1013
14.6%
2 648
 
9.4%
3 534
 
7.7%
4 426
 
6.1%
5 408
 
5.9%
6 386
 
5.6%
7 359
 
5.2%
8 359
 
5.2%
9 288
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 287
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2508
34.8%
1 1013
14.0%
2 648
 
9.0%
3 534
 
7.4%
4 426
 
5.9%
5 408
 
5.7%
6 386
 
5.3%
7 359
 
5.0%
8 359
 
5.0%
9 288
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2508
34.8%
1 1013
14.0%
2 648
 
9.0%
3 534
 
7.4%
4 426
 
5.9%
5 408
 
5.7%
6 386
 
5.3%
7 359
 
5.0%
8 359
 
5.0%
9 288
 
4.0%

Y1998년
Text

MISSING 

Distinct743
Distinct (%)17.3%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:25.098582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.7246512
Min length1

Characters and Unicode

Total characters7416
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

Unique503 ?
Unique (%)11.7%

Sample

1st row162
2nd row6
3rd row472
4th row31
5th row0
ValueCountFrequency (%)
0 2125
49.4%
1 194
 
4.5%
2 131
 
3.0%
5 54
 
1.3%
3 53
 
1.2%
4 42
 
1.0%
8 40
 
0.9%
16 38
 
0.9%
7 34
 
0.8%
6 33
 
0.8%
Other values (733) 1556
36.2%
2023-12-13T05:35:25.673496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2470
33.3%
1 998
13.5%
2 717
 
9.7%
3 556
 
7.5%
4 471
 
6.4%
5 443
 
6.0%
6 409
 
5.5%
7 390
 
5.3%
8 331
 
4.5%
9 320
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7105
95.8%
Other Punctuation 311
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2470
34.8%
1 998
14.0%
2 717
 
10.1%
3 556
 
7.8%
4 471
 
6.6%
5 443
 
6.2%
6 409
 
5.8%
7 390
 
5.5%
8 331
 
4.7%
9 320
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2470
33.3%
1 998
13.5%
2 717
 
9.7%
3 556
 
7.5%
4 471
 
6.4%
5 443
 
6.0%
6 409
 
5.5%
7 390
 
5.3%
8 331
 
4.5%
9 320
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2470
33.3%
1 998
13.5%
2 717
 
9.7%
3 556
 
7.5%
4 471
 
6.4%
5 443
 
6.0%
6 409
 
5.5%
7 390
 
5.3%
8 331
 
4.5%
9 320
 
4.3%

Y1999년
Text

MISSING 

Distinct737
Distinct (%)17.1%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:26.075957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.7186047
Min length1

Characters and Unicode

Total characters7390
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

Unique503 ?
Unique (%)11.7%

Sample

1st row135
2nd row12
3rd row1,034
4th row99
5th row0
ValueCountFrequency (%)
0 2073
48.2%
1 184
 
4.3%
2 100
 
2.3%
3 82
 
1.9%
4 77
 
1.8%
5 50
 
1.2%
6 43
 
1.0%
8 38
 
0.9%
12 38
 
0.9%
9 37
 
0.9%
Other values (727) 1578
36.7%
2023-12-13T05:35:26.649852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2375
32.1%
1 1001
13.5%
2 667
 
9.0%
3 568
 
7.7%
4 499
 
6.8%
5 440
 
6.0%
6 410
 
5.5%
8 382
 
5.2%
7 381
 
5.2%
9 365
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7088
95.9%
Other Punctuation 302
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2375
33.5%
1 1001
14.1%
2 667
 
9.4%
3 568
 
8.0%
4 499
 
7.0%
5 440
 
6.2%
6 410
 
5.8%
8 382
 
5.4%
7 381
 
5.4%
9 365
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7390
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2375
32.1%
1 1001
13.5%
2 667
 
9.0%
3 568
 
7.7%
4 499
 
6.8%
5 440
 
6.0%
6 410
 
5.5%
8 382
 
5.2%
7 381
 
5.2%
9 365
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2375
32.1%
1 1001
13.5%
2 667
 
9.0%
3 568
 
7.7%
4 499
 
6.8%
5 440
 
6.0%
6 410
 
5.5%
8 382
 
5.2%
7 381
 
5.2%
9 365
 
4.9%

Y2000년
Text

MISSING 

Distinct719
Distinct (%)16.7%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:27.068435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7053488
Min length1

Characters and Unicode

Total characters7333
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

Unique484 ?
Unique (%)11.3%

Sample

1st row145
2nd row15
3rd row766
4th row79
5th row0
ValueCountFrequency (%)
0 2041
47.5%
1 188
 
4.4%
2 127
 
3.0%
5 74
 
1.7%
3 64
 
1.5%
4 61
 
1.4%
7 43
 
1.0%
6 43
 
1.0%
9 39
 
0.9%
10 35
 
0.8%
Other values (709) 1585
36.9%
2023-12-13T05:35:27.626746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2331
31.8%
1 992
13.5%
2 772
 
10.5%
3 527
 
7.2%
5 501
 
6.8%
4 501
 
6.8%
7 394
 
5.4%
8 374
 
5.1%
6 369
 
5.0%
9 290
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7051
96.2%
Other Punctuation 282
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2331
33.1%
1 992
14.1%
2 772
 
10.9%
3 527
 
7.5%
5 501
 
7.1%
4 501
 
7.1%
7 394
 
5.6%
8 374
 
5.3%
6 369
 
5.2%
9 290
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2331
31.8%
1 992
13.5%
2 772
 
10.5%
3 527
 
7.2%
5 501
 
6.8%
4 501
 
6.8%
7 394
 
5.4%
8 374
 
5.1%
6 369
 
5.0%
9 290
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2331
31.8%
1 992
13.5%
2 772
 
10.5%
3 527
 
7.2%
5 501
 
6.8%
4 501
 
6.8%
7 394
 
5.4%
8 374
 
5.1%
6 369
 
5.0%
9 290
 
4.0%

Y2001년
Text

MISSING 

Distinct712
Distinct (%)16.6%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:28.060308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7195349
Min length1

Characters and Unicode

Total characters7394
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

Unique473 ?
Unique (%)11.0%

Sample

1st row180
2nd row15
3rd row915
4th row52
5th row0
ValueCountFrequency (%)
0 2018
46.9%
1 224
 
5.2%
3 86
 
2.0%
2 77
 
1.8%
5 69
 
1.6%
4 58
 
1.3%
6 46
 
1.1%
7 41
 
1.0%
17 35
 
0.8%
10 34
 
0.8%
Other values (702) 1612
37.5%
2023-12-13T05:35:28.608476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2346
31.7%
1 1060
14.3%
2 728
 
9.8%
3 605
 
8.2%
4 508
 
6.9%
5 441
 
6.0%
6 406
 
5.5%
7 376
 
5.1%
8 334
 
4.5%
9 305
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7109
96.1%
Other Punctuation 285
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2346
33.0%
1 1060
14.9%
2 728
 
10.2%
3 605
 
8.5%
4 508
 
7.1%
5 441
 
6.2%
6 406
 
5.7%
7 376
 
5.3%
8 334
 
4.7%
9 305
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 285
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2346
31.7%
1 1060
14.3%
2 728
 
9.8%
3 605
 
8.2%
4 508
 
6.9%
5 441
 
6.0%
6 406
 
5.5%
7 376
 
5.1%
8 334
 
4.5%
9 305
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2346
31.7%
1 1060
14.3%
2 728
 
9.8%
3 605
 
8.2%
4 508
 
6.9%
5 441
 
6.0%
6 406
 
5.5%
7 376
 
5.1%
8 334
 
4.5%
9 305
 
4.1%

Y2002년
Text

MISSING 

Distinct666
Distinct (%)15.5%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:29.017705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.6467442
Min length1

Characters and Unicode

Total characters7081
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

Unique451 ?
Unique (%)10.5%

Sample

1st row184
2nd row8
3rd row438
4th row24
5th row0
ValueCountFrequency (%)
0 2194
51.0%
1 186
 
4.3%
2 126
 
2.9%
3 78
 
1.8%
4 65
 
1.5%
6 51
 
1.2%
5 49
 
1.1%
7 49
 
1.1%
12 34
 
0.8%
13 31
 
0.7%
Other values (656) 1437
33.4%
2023-12-13T05:35:29.597493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2496
35.2%
1 929
 
13.1%
2 677
 
9.6%
3 531
 
7.5%
4 487
 
6.9%
5 395
 
5.6%
6 390
 
5.5%
7 352
 
5.0%
9 293
 
4.1%
8 276
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6826
96.4%
Other Punctuation 255
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2496
36.6%
1 929
 
13.6%
2 677
 
9.9%
3 531
 
7.8%
4 487
 
7.1%
5 395
 
5.8%
6 390
 
5.7%
7 352
 
5.2%
9 293
 
4.3%
8 276
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7081
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2496
35.2%
1 929
 
13.1%
2 677
 
9.6%
3 531
 
7.5%
4 487
 
6.9%
5 395
 
5.6%
6 390
 
5.5%
7 352
 
5.0%
9 293
 
4.1%
8 276
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2496
35.2%
1 929
 
13.1%
2 677
 
9.6%
3 531
 
7.5%
4 487
 
6.9%
5 395
 
5.6%
6 390
 
5.5%
7 352
 
5.0%
9 293
 
4.1%
8 276
 
3.9%

Y2003년
Text

MISSING 

Distinct686
Distinct (%)16.0%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:30.028191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.6697674
Min length1

Characters and Unicode

Total characters7180
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

Unique464 ?
Unique (%)10.8%

Sample

1st row198
2nd row13
3rd row299
4th row13
5th row14
ValueCountFrequency (%)
0 2131
49.6%
1 193
 
4.5%
2 119
 
2.8%
4 67
 
1.6%
3 63
 
1.5%
5 60
 
1.4%
7 49
 
1.1%
6 42
 
1.0%
8 41
 
1.0%
10 36
 
0.8%
Other values (676) 1499
34.9%
2023-12-13T05:35:30.554278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2443
34.0%
1 1001
13.9%
2 698
 
9.7%
3 479
 
6.7%
4 450
 
6.3%
5 430
 
6.0%
7 390
 
5.4%
6 375
 
5.2%
8 357
 
5.0%
9 296
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6919
96.4%
Other Punctuation 261
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2443
35.3%
1 1001
14.5%
2 698
 
10.1%
3 479
 
6.9%
4 450
 
6.5%
5 430
 
6.2%
7 390
 
5.6%
6 375
 
5.4%
8 357
 
5.2%
9 296
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 261
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2443
34.0%
1 1001
13.9%
2 698
 
9.7%
3 479
 
6.7%
4 450
 
6.3%
5 430
 
6.0%
7 390
 
5.4%
6 375
 
5.2%
8 357
 
5.0%
9 296
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2443
34.0%
1 1001
13.9%
2 698
 
9.7%
3 479
 
6.7%
4 450
 
6.3%
5 430
 
6.0%
7 390
 
5.4%
6 375
 
5.2%
8 357
 
5.0%
9 296
 
4.1%

Y2004년
Text

MISSING 

Distinct716
Distinct (%)16.7%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:30.898821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.6934884
Min length1

Characters and Unicode

Total characters7282
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

Unique488 ?
Unique (%)11.3%

Sample

1st row262
2nd row15
3rd row501
4th row32
5th row20
ValueCountFrequency (%)
0 2164
50.3%
1 188
 
4.4%
2 116
 
2.7%
4 48
 
1.1%
7 47
 
1.1%
5 46
 
1.1%
8 45
 
1.0%
6 43
 
1.0%
3 40
 
0.9%
21 31
 
0.7%
Other values (706) 1532
35.6%
2023-12-13T05:35:31.415606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2488
34.2%
1 1000
13.7%
2 725
 
10.0%
3 526
 
7.2%
4 482
 
6.6%
5 407
 
5.6%
6 379
 
5.2%
7 358
 
4.9%
8 333
 
4.6%
9 303
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7001
96.1%
Other Punctuation 281
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2488
35.5%
1 1000
14.3%
2 725
 
10.4%
3 526
 
7.5%
4 482
 
6.9%
5 407
 
5.8%
6 379
 
5.4%
7 358
 
5.1%
8 333
 
4.8%
9 303
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2488
34.2%
1 1000
13.7%
2 725
 
10.0%
3 526
 
7.2%
4 482
 
6.6%
5 407
 
5.6%
6 379
 
5.2%
7 358
 
4.9%
8 333
 
4.6%
9 303
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2488
34.2%
1 1000
13.7%
2 725
 
10.0%
3 526
 
7.2%
4 482
 
6.6%
5 407
 
5.6%
6 379
 
5.2%
7 358
 
4.9%
8 333
 
4.6%
9 303
 
4.2%

Y2005년
Text

MISSING 

Distinct767
Distinct (%)17.8%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:31.811801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7367442
Min length1

Characters and Unicode

Total characters7468
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

Unique520 ?
Unique (%)12.1%

Sample

1st row311
2nd row26
3rd row627
4th row43
5th row9
ValueCountFrequency (%)
0 2080
48.4%
1 169
 
3.9%
2 101
 
2.3%
3 79
 
1.8%
4 66
 
1.5%
5 56
 
1.3%
8 51
 
1.2%
6 44
 
1.0%
11 33
 
0.8%
12 30
 
0.7%
Other values (757) 1591
37.0%
2023-12-13T05:35:32.518838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2388
32.0%
1 1021
13.7%
2 742
 
9.9%
3 573
 
7.7%
4 457
 
6.1%
5 452
 
6.1%
6 426
 
5.7%
8 399
 
5.3%
9 368
 
4.9%
7 337
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7163
95.9%
Other Punctuation 305
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2388
33.3%
1 1021
14.3%
2 742
 
10.4%
3 573
 
8.0%
4 457
 
6.4%
5 452
 
6.3%
6 426
 
5.9%
8 399
 
5.6%
9 368
 
5.1%
7 337
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2388
32.0%
1 1021
13.7%
2 742
 
9.9%
3 573
 
7.7%
4 457
 
6.1%
5 452
 
6.1%
6 426
 
5.7%
8 399
 
5.3%
9 368
 
4.9%
7 337
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2388
32.0%
1 1021
13.7%
2 742
 
9.9%
3 573
 
7.7%
4 457
 
6.1%
5 452
 
6.1%
6 426
 
5.7%
8 399
 
5.3%
9 368
 
4.9%
7 337
 
4.5%

Y2006년
Text

MISSING 

Distinct764
Distinct (%)17.8%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:32.899033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7539535
Min length1

Characters and Unicode

Total characters7542
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

Unique508 ?
Unique (%)11.8%

Sample

1st row527
2nd row42
3rd row889
4th row74
5th row30
ValueCountFrequency (%)
0 2069
48.1%
1 189
 
4.4%
2 105
 
2.4%
4 63
 
1.5%
3 54
 
1.3%
7 48
 
1.1%
15 40
 
0.9%
5 40
 
0.9%
6 38
 
0.9%
14 26
 
0.6%
Other values (754) 1628
37.9%
2023-12-13T05:35:33.521412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2386
31.6%
1 1071
14.2%
2 690
 
9.1%
3 575
 
7.6%
4 496
 
6.6%
6 449
 
6.0%
5 443
 
5.9%
7 393
 
5.2%
8 382
 
5.1%
9 344
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7229
95.8%
Other Punctuation 313
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2386
33.0%
1 1071
14.8%
2 690
 
9.5%
3 575
 
8.0%
4 496
 
6.9%
6 449
 
6.2%
5 443
 
6.1%
7 393
 
5.4%
8 382
 
5.3%
9 344
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 313
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2386
31.6%
1 1071
14.2%
2 690
 
9.1%
3 575
 
7.6%
4 496
 
6.6%
6 449
 
6.0%
5 443
 
5.9%
7 393
 
5.2%
8 382
 
5.1%
9 344
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2386
31.6%
1 1071
14.2%
2 690
 
9.1%
3 575
 
7.6%
4 496
 
6.6%
6 449
 
6.0%
5 443
 
5.9%
7 393
 
5.2%
8 382
 
5.1%
9 344
 
4.6%

Y2007년
Text

MISSING 

Distinct781
Distinct (%)18.2%
Missing276
Missing (%)6.0%
Memory size35.9 KiB
2023-12-13T05:35:33.990662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7572093
Min length1

Characters and Unicode

Total characters7556
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

Unique525 ?
Unique (%)12.2%

Sample

1st row287
2nd row24
3rd row817
4th row82
5th row53
ValueCountFrequency (%)
0 2056
47.8%
1 136
 
3.2%
2 109
 
2.5%
3 97
 
2.3%
5 64
 
1.5%
4 62
 
1.4%
7 48
 
1.1%
6 41
 
1.0%
9 38
 
0.9%
11 34
 
0.8%
Other values (771) 1615
37.6%
2023-12-13T05:35:34.600346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2365
31.3%
1 1019
13.5%
2 730
 
9.7%
3 623
 
8.2%
4 506
 
6.7%
5 469
 
6.2%
6 424
 
5.6%
7 384
 
5.1%
8 358
 
4.7%
9 353
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7231
95.7%
Other Punctuation 325
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2365
32.7%
1 1019
14.1%
2 730
 
10.1%
3 623
 
8.6%
4 506
 
7.0%
5 469
 
6.5%
6 424
 
5.9%
7 384
 
5.3%
8 358
 
5.0%
9 353
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 325
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7556
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2365
31.3%
1 1019
13.5%
2 730
 
9.7%
3 623
 
8.2%
4 506
 
6.7%
5 469
 
6.2%
6 424
 
5.6%
7 384
 
5.1%
8 358
 
4.7%
9 353
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7556
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2365
31.3%
1 1019
13.5%
2 730
 
9.7%
3 623
 
8.2%
4 506
 
6.7%
5 469
 
6.2%
6 424
 
5.6%
7 384
 
5.1%
8 358
 
4.7%
9 353
 
4.7%

Y2008년
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
0
4300 
<NA>
 
276

Length

Max length4
Median length1
Mean length1.1809441
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4300
94.0%
<NA> 276
 
6.0%

Length

2023-12-13T05:35:34.814528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:34.967351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4300
94.0%
na 276
 
6.0%

Y2009년
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
0
4300 
<NA>
 
276

Length

Max length4
Median length1
Mean length1.1809441
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4300
94.0%
<NA> 276
 
6.0%

Length

2023-12-13T05:35:35.100063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:35.595171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4300
94.0%
na 276
 
6.0%

Y2010년
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
0
4300 
<NA>
 
276

Length

Max length4
Median length1
Mean length1.1809441
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4300
94.0%
<NA> 276
 
6.0%

Length

2023-12-13T05:35:35.738679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:35.860964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4300
94.0%
na 276
 
6.0%

Sample

교부취득자구분구분순번등급구분Y1992년Y1993년Y1994년Y1995년Y1996년Y1997년Y1998년Y1999년Y2000년Y2001년Y2002년Y2003년Y2004년Y2005년Y2006년Y2007년Y2008년Y2009년Y2010년
01분야계 계47535,59721989255215166162135145180184198262311527287000
11476365265201915612151581315264224000
21[ 통신 ]4773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31정보통신 계47831,9351782494982862834721,034766915438299501627889817000
4147931171030152731997952241332437482000
51방송통신 계480300000000000142093053000
6148130000000000001022000
71무선설비 계48232,3231453401229991,6673,6372,4432,0052,2942,4302,1542,3542,3602,3121,628000
81483322516842114304187181200218187242256229145000
91분야계 계48434,2583235896201,2851,9504,1093,4772,7713,2092,8682,4672,8752,9963,2312,498000
교부취득자구분구분순번등급구분Y1992년Y1993년Y1994년Y1995년Y1996년Y1997년Y1998년Y1999년Y2000년Y2001년Y2002년Y2003년Y2004년Y2005년Y2006년Y2007년Y2008년Y2009년Y2010년
456628310000000000000000000
45672분야계 계84115131132263781381410000
456828510000000000000000000
45692[ 토목 ]861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45702토질및기초 계871128362350507494835859493839203556000
457128810000000100100010000
45722토목구조 계891185523585807486737556403732332558000
457329010000000000000000000
45742항만및해안 계9114911817101012887776574000
45752[ 건축 ]1111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>