Overview

Dataset statistics

Number of variables25
Number of observations21
Missing cells299
Missing cells (%)57.0%
Duplicate rows1
Duplicate rows (%)4.8%
Total size in memory4.3 KiB
Average record size in memory209.3 B

Variable types

Unsupported4
Text20
DateTime1

Alerts

Unnamed: 8 has constant value ""Constant
Unnamed: 15 has constant value ""Constant
Unnamed: 17 has constant value ""Constant
Unnamed: 20 has constant value ""Constant
Dataset has 1 (4.8%) duplicate rowsDuplicates
구조실적 총괄 has 21 (100.0%) missing valuesMissing
Unnamed: 1 has 6 (28.6%) missing valuesMissing
Unnamed: 2 has 8 (38.1%) missing valuesMissing
Unnamed: 3 has 6 (28.6%) missing valuesMissing
Unnamed: 4 has 7 (33.3%) missing valuesMissing
Unnamed: 5 has 7 (33.3%) missing valuesMissing
Unnamed: 6 has 7 (33.3%) missing valuesMissing
Unnamed: 7 has 7 (33.3%) missing valuesMissing
Unnamed: 8 has 20 (95.2%) missing valuesMissing
Unnamed: 9 has 8 (38.1%) missing valuesMissing
Unnamed: 10 has 6 (28.6%) missing valuesMissing
Unnamed: 11 has 21 (100.0%) missing valuesMissing
Unnamed: 12 has 21 (100.0%) missing valuesMissing
Unnamed: 13 has 10 (47.6%) missing valuesMissing
Unnamed: 14 has 16 (76.2%) missing valuesMissing
Unnamed: 15 has 20 (95.2%) missing valuesMissing
Unnamed: 16 has 8 (38.1%) missing valuesMissing
Unnamed: 17 has 20 (95.2%) missing valuesMissing
Unnamed: 18 has 7 (33.3%) missing valuesMissing
Unnamed: 19 has 8 (38.1%) missing valuesMissing
Unnamed: 20 has 20 (95.2%) missing valuesMissing
Unnamed: 21 has 9 (42.9%) missing valuesMissing
Unnamed: 22 has 8 (38.1%) missing valuesMissing
Unnamed: 23 has 20 (95.2%) missing valuesMissing
Unnamed: 24 has 8 (38.1%) missing valuesMissing
구조실적 총괄 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 15:48:31.816919
Analysis finished2023-12-10 15:48:32.641351
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구조실적 총괄
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Unnamed: 1
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Memory size300.0 B
2023-12-11T00:48:32.784114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length7
Mean length6.2
Min length2

Characters and Unicode

Total characters93
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row서소 : 전라북도 - 전북소방안전본부 - 모두
2nd row구 분
3rd row비율
4th row합계
5th row전주덕진소방서
ValueCountFrequency (%)
3
 
13.6%
서소 1
 
4.5%
무진장소방서 1
 
4.5%
부안소방서 1
 
4.5%
고창소방서 1
 
4.5%
김제소방서 1
 
4.5%
남원소방서 1
 
4.5%
정읍소방서 1
 
4.5%
익산소방서 1
 
4.5%
군산소방서 1
 
4.5%
Other values (10) 10
45.5%
2023-12-11T00:48:33.384351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 13
 
14.0%
방 12
 
12.9%
서 11
 
11.8%
7
 
7.5%
전 5
 
5.4%
산 3
 
3.2%
진 2
 
2.2%
부 2
 
2.2%
안 2
 
2.2%
주 2
 
2.2%
Other values (32) 34
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
88.2%
Space Separator 7
 
7.5%
Dash Punctuation 2
 
2.2%
Connector Punctuation 1
 
1.1%
Other Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 13
15.9%
방 12
14.6%
서 11
 
13.4%
전 5
 
6.1%
산 3
 
3.7%
진 2
 
2.4%
부 2
 
2.4%
안 2
 
2.4%
주 2
 
2.4%
북 2
 
2.4%
Other values (28) 28
34.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
88.2%
Common 11
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 13
15.9%
방 12
14.6%
서 11
 
13.4%
전 5
 
6.1%
산 3
 
3.7%
진 2
 
2.4%
부 2
 
2.4%
안 2
 
2.4%
주 2
 
2.4%
북 2
 
2.4%
Other values (28) 28
34.1%
Common
ValueCountFrequency (%)
7
63.6%
- 2
 
18.2%
_ 1
 
9.1%
: 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
88.2%
ASCII 11
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 13
15.9%
방 12
14.6%
서 11
 
13.4%
전 5
 
6.1%
산 3
 
3.7%
진 2
 
2.4%
부 2
 
2.4%
안 2
 
2.4%
주 2
 
2.4%
북 2
 
2.4%
Other values (28) 28
34.1%
ASCII
ValueCountFrequency (%)
7
63.6%
- 2
 
18.2%
_ 1
 
9.1%
: 1
 
9.1%

Unnamed: 2
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:33.658098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters52
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row출동건수
2nd row33382
3rd row6360
4th row5255
5th row4018
ValueCountFrequency (%)
출동건수 1
 
7.7%
33382 1
 
7.7%
6360 1
 
7.7%
5255 1
 
7.7%
4018 1
 
7.7%
4181 1
 
7.7%
2540 1
 
7.7%
2837 1
 
7.7%
2345 1
 
7.7%
1646 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T00:48:34.168417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
15.4%
1 7
13.5%
2 6
11.5%
5 6
11.5%
4 6
11.5%
6 5
9.6%
8 4
7.7%
0 4
7.7%
7 2
 
3.8%
출 1
 
1.9%
Other values (3) 3
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
92.3%
Other Letter 4
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
16.7%
1 7
14.6%
2 6
12.5%
5 6
12.5%
4 6
12.5%
6 5
10.4%
8 4
8.3%
0 4
8.3%
7 2
 
4.2%
Other Letter
ValueCountFrequency (%)
출 1
25.0%
동 1
25.0%
건 1
25.0%
수 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48
92.3%
Hangul 4
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
16.7%
1 7
14.6%
2 6
12.5%
5 6
12.5%
4 6
12.5%
6 5
10.4%
8 4
8.3%
0 4
8.3%
7 2
 
4.2%
Hangul
ValueCountFrequency (%)
출 1
25.0%
동 1
25.0%
건 1
25.0%
수 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
92.3%
Hangul 4
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
16.7%
1 7
14.6%
2 6
12.5%
5 6
12.5%
4 6
12.5%
6 5
10.4%
8 4
8.3%
0 4
8.3%
7 2
 
4.2%
Hangul
ValueCountFrequency (%)
출 1
25.0%
동 1
25.0%
건 1
25.0%
수 1
25.0%

Unnamed: 3
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Memory size300.0 B
2023-12-11T00:48:34.418060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9333333
Min length2

Characters and Unicode

Total characters59
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row구조처리건수
2nd row합계
3rd row100
4th row26928
5th row5024
ValueCountFrequency (%)
구조처리건수 1
 
6.7%
합계 1
 
6.7%
100 1
 
6.7%
26928 1
 
6.7%
5024 1
 
6.7%
4187 1
 
6.7%
3157 1
 
6.7%
3103 1
 
6.7%
2247 1
 
6.7%
2372 1
 
6.7%
Other values (5) 5
33.3%
2023-12-11T00:48:34.932817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
20.3%
4 8
13.6%
2 7
11.9%
3 5
8.5%
7 5
8.5%
0 4
 
6.8%
9 3
 
5.1%
8 3
 
5.1%
6 2
 
3.4%
5 2
 
3.4%
Other values (8) 8
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51
86.4%
Other Letter 8
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
23.5%
4 8
15.7%
2 7
13.7%
3 5
9.8%
7 5
9.8%
0 4
 
7.8%
9 3
 
5.9%
8 3
 
5.9%
6 2
 
3.9%
5 2
 
3.9%
Other Letter
ValueCountFrequency (%)
합 1
12.5%
계 1
12.5%
수 1
12.5%
조 1
12.5%
건 1
12.5%
리 1
12.5%
처 1
12.5%
구 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 51
86.4%
Hangul 8
 
13.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12
23.5%
4 8
15.7%
2 7
13.7%
3 5
9.8%
7 5
9.8%
0 4
 
7.8%
9 3
 
5.9%
8 3
 
5.9%
6 2
 
3.9%
5 2
 
3.9%
Hangul
ValueCountFrequency (%)
합 1
12.5%
계 1
12.5%
수 1
12.5%
조 1
12.5%
건 1
12.5%
리 1
12.5%
처 1
12.5%
구 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51
86.4%
Hangul 8
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
23.5%
4 8
15.7%
2 7
13.7%
3 5
9.8%
7 5
9.8%
0 4
 
7.8%
9 3
 
5.9%
8 3
 
5.9%
6 2
 
3.9%
5 2
 
3.9%
Hangul
ValueCountFrequency (%)
합 1
12.5%
계 1
12.5%
수 1
12.5%
조 1
12.5%
건 1
12.5%
리 1
12.5%
처 1
12.5%
구 1
12.5%

Unnamed: 4
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2023-12-11T00:48:35.184100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7142857
Min length1

Characters and Unicode

Total characters52
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row안전조치
2nd row53.21
3rd row14329
4th row2665
5th row2360
ValueCountFrequency (%)
안전조치 1
 
7.1%
53.21 1
 
7.1%
14329 1
 
7.1%
2665 1
 
7.1%
2360 1
 
7.1%
1714 1
 
7.1%
1602 1
 
7.1%
1218 1
 
7.1%
1305 1
 
7.1%
846 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T00:48:35.662867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11
21.2%
6 7
13.5%
2 6
11.5%
5 4
 
7.7%
3 4
 
7.7%
4 4
 
7.7%
8 4
 
7.7%
0 3
 
5.8%
7 3
 
5.8%
안 1
 
1.9%
Other values (5) 5
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47
90.4%
Other Letter 4
 
7.7%
Other Punctuation 1
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
23.4%
6 7
14.9%
2 6
12.8%
5 4
 
8.5%
3 4
 
8.5%
4 4
 
8.5%
8 4
 
8.5%
0 3
 
6.4%
7 3
 
6.4%
9 1
 
2.1%
Other Letter
ValueCountFrequency (%)
안 1
25.0%
전 1
25.0%
조 1
25.0%
치 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48
92.3%
Hangul 4
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11
22.9%
6 7
14.6%
2 6
12.5%
5 4
 
8.3%
3 4
 
8.3%
4 4
 
8.3%
8 4
 
8.3%
0 3
 
6.2%
7 3
 
6.2%
. 1
 
2.1%
Hangul
ValueCountFrequency (%)
안 1
25.0%
전 1
25.0%
조 1
25.0%
치 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
92.3%
Hangul 4
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11
22.9%
6 7
14.6%
2 6
12.5%
5 4
 
8.3%
3 4
 
8.3%
4 4
 
8.3%
8 4
 
8.3%
0 3
 
6.2%
7 3
 
6.2%
. 1
 
2.1%
Hangul
ValueCountFrequency (%)
안 1
25.0%
전 1
25.0%
조 1
25.0%
치 1
25.0%

Unnamed: 5
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2023-12-11T00:48:35.911836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7142857
Min length1

Characters and Unicode

Total characters38
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row인명검색
2nd row4.19
3rd row1127
4th row124
5th row165
ValueCountFrequency (%)
인명검색 1
 
7.1%
4.19 1
 
7.1%
1127 1
 
7.1%
124 1
 
7.1%
165 1
 
7.1%
193 1
 
7.1%
199 1
 
7.1%
86 1
 
7.1%
109 1
 
7.1%
55 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T00:48:36.687883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
21.1%
9 6
15.8%
5 5
13.2%
2 3
 
7.9%
6 3
 
7.9%
4 2
 
5.3%
7 2
 
5.3%
0 2
 
5.3%
인 1
 
2.6%
명 1
 
2.6%
Other values (5) 5
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33
86.8%
Other Letter 4
 
10.5%
Other Punctuation 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
24.2%
9 6
18.2%
5 5
15.2%
2 3
 
9.1%
6 3
 
9.1%
4 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
8 1
 
3.0%
Other Letter
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
검 1
25.0%
색 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34
89.5%
Hangul 4
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
23.5%
9 6
17.6%
5 5
14.7%
2 3
 
8.8%
6 3
 
8.8%
4 2
 
5.9%
7 2
 
5.9%
0 2
 
5.9%
. 1
 
2.9%
3 1
 
2.9%
Hangul
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
검 1
25.0%
색 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
89.5%
Hangul 4
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
23.5%
9 6
17.6%
5 5
14.7%
2 3
 
8.8%
6 3
 
8.8%
4 2
 
5.9%
7 2
 
5.9%
0 2
 
5.9%
. 1
 
2.9%
3 1
 
2.9%
Hangul
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
검 1
25.0%
색 1
25.0%

Unnamed: 6
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2023-12-11T00:48:36.946411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2857143
Min length2

Characters and Unicode

Total characters46
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row인명구조
2nd row20.07
3rd row5404
4th row767
5th row1071
ValueCountFrequency (%)
인명구조 1
 
7.1%
20.07 1
 
7.1%
5404 1
 
7.1%
767 1
 
7.1%
1071 1
 
7.1%
587 1
 
7.1%
669 1
 
7.1%
397 1
 
7.1%
436 1
 
7.1%
418 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T00:48:37.338506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 7
15.2%
4 6
13.0%
0 5
10.9%
6 5
10.9%
3 5
10.9%
1 4
8.7%
9 3
6.5%
2 2
 
4.3%
5 2
 
4.3%
8 2
 
4.3%
Other values (5) 5
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41
89.1%
Other Letter 4
 
8.7%
Other Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 7
17.1%
4 6
14.6%
0 5
12.2%
6 5
12.2%
3 5
12.2%
1 4
9.8%
9 3
7.3%
2 2
 
4.9%
5 2
 
4.9%
8 2
 
4.9%
Other Letter
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
구 1
25.0%
조 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42
91.3%
Hangul 4
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
7 7
16.7%
4 6
14.3%
0 5
11.9%
6 5
11.9%
3 5
11.9%
1 4
9.5%
9 3
7.1%
2 2
 
4.8%
5 2
 
4.8%
8 2
 
4.8%
Hangul
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
구 1
25.0%
조 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
91.3%
Hangul 4
 
8.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 7
16.7%
4 6
14.3%
0 5
11.9%
6 5
11.9%
3 5
11.9%
1 4
9.5%
9 3
7.1%
2 2
 
4.8%
5 2
 
4.8%
8 2
 
4.8%
Hangul
ValueCountFrequency (%)
인 1
25.0%
명 1
25.0%
구 1
25.0%
조 1
25.0%

Unnamed: 7
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing7
Missing (%)33.3%
Memory size300.0 B
2023-12-11T00:48:37.533077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1428571
Min length2

Characters and Unicode

Total characters44
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st row기타
2nd row22.53
3rd row6068
4th row1468
5th row591
ValueCountFrequency (%)
522 2
14.3%
기타 1
 
7.1%
22.53 1
 
7.1%
6068 1
 
7.1%
1468 1
 
7.1%
591 1
 
7.1%
663 1
 
7.1%
633 1
 
7.1%
546 1
 
7.1%
324 1
 
7.1%
Other values (3) 3
21.4%
2023-12-11T00:48:37.907700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
15.9%
3 7
15.9%
6 7
15.9%
5 6
13.6%
4 5
11.4%
8 3
6.8%
1 2
 
4.5%
9 2
 
4.5%
기 1
 
2.3%
타 1
 
2.3%
Other values (3) 3
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41
93.2%
Other Letter 2
 
4.5%
Other Punctuation 1
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
17.1%
3 7
17.1%
6 7
17.1%
5 6
14.6%
4 5
12.2%
8 3
7.3%
1 2
 
4.9%
9 2
 
4.9%
0 1
 
2.4%
7 1
 
2.4%
Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42
95.5%
Hangul 2
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
16.7%
3 7
16.7%
6 7
16.7%
5 6
14.3%
4 5
11.9%
8 3
7.1%
1 2
 
4.8%
9 2
 
4.8%
. 1
 
2.4%
0 1
 
2.4%
Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
95.5%
Hangul 2
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
16.7%
3 7
16.7%
6 7
16.7%
5 6
14.3%
4 5
11.9%
8 3
7.1%
1 2
 
4.8%
9 2
 
4.8%
. 1
 
2.4%
0 1
 
2.4%
Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Unnamed: 8
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2023-12-11T00:48:38.023217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row1/1
ValueCountFrequency (%)
1/1 1
100.0%
2023-12-11T00:48:38.245814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
66.7%
/ 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
66.7%
/ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
66.7%
/ 1
33.3%

Unnamed: 9
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:38.442489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1538462
Min length2

Characters and Unicode

Total characters41
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row구조인원
2nd row5601
3rd row627
4th row1172
5th row531
ValueCountFrequency (%)
구조인원 1
 
7.7%
5601 1
 
7.7%
627 1
 
7.7%
1172 1
 
7.7%
531 1
 
7.7%
691 1
 
7.7%
442 1
 
7.7%
535 1
 
7.7%
423 1
 
7.7%
239 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T00:48:38.907820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6
14.6%
1 6
14.6%
3 6
14.6%
2 5
12.2%
6 4
9.8%
9 3
7.3%
4 3
7.3%
0 2
 
4.9%
7 2
 
4.9%
구 1
 
2.4%
Other values (3) 3
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
90.2%
Other Letter 4
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6
16.2%
1 6
16.2%
3 6
16.2%
2 5
13.5%
6 4
10.8%
9 3
8.1%
4 3
8.1%
0 2
 
5.4%
7 2
 
5.4%
Other Letter
ValueCountFrequency (%)
구 1
25.0%
조 1
25.0%
인 1
25.0%
원 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
90.2%
Hangul 4
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6
16.2%
1 6
16.2%
3 6
16.2%
2 5
13.5%
6 4
10.8%
9 3
8.1%
4 3
8.1%
0 2
 
5.4%
7 2
 
5.4%
Hangul
ValueCountFrequency (%)
구 1
25.0%
조 1
25.0%
인 1
25.0%
원 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
90.2%
Hangul 4
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6
16.2%
1 6
16.2%
3 6
16.2%
2 5
13.5%
6 4
10.8%
9 3
8.1%
4 3
8.1%
0 2
 
5.4%
7 2
 
5.4%
Hangul
ValueCountFrequency (%)
구 1
25.0%
조 1
25.0%
인 1
25.0%
원 1
25.0%

Unnamed: 10
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Memory size300.0 B
2023-12-11T00:48:39.125233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4
Min length2

Characters and Unicode

Total characters51
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row구조미처리건수
2nd row합계
3rd row100
4th row6454
5th row1336
ValueCountFrequency (%)
구조미처리건수 1
 
6.7%
합계 1
 
6.7%
100 1
 
6.7%
6454 1
 
6.7%
1336 1
 
6.7%
1068 1
 
6.7%
861 1
 
6.7%
1078 1
 
6.7%
293 1
 
6.7%
465 1
 
6.7%
Other values (5) 5
33.3%
2023-12-11T00:48:39.466545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
15.7%
0 6
11.8%
3 5
9.8%
6 5
9.8%
5 4
7.8%
4 4
7.8%
7 3
 
5.9%
8 3
 
5.9%
2 2
 
3.9%
9 2
 
3.9%
Other values (9) 9
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
82.4%
Other Letter 9
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
19.0%
0 6
14.3%
3 5
11.9%
6 5
11.9%
5 4
9.5%
4 4
9.5%
7 3
 
7.1%
8 3
 
7.1%
2 2
 
4.8%
9 2
 
4.8%
Other Letter
ValueCountFrequency (%)
조 1
11.1%
계 1
11.1%
합 1
11.1%
수 1
11.1%
건 1
11.1%
리 1
11.1%
처 1
11.1%
미 1
11.1%
구 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common 42
82.4%
Hangul 9
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
19.0%
0 6
14.3%
3 5
11.9%
6 5
11.9%
5 4
9.5%
4 4
9.5%
7 3
 
7.1%
8 3
 
7.1%
2 2
 
4.8%
9 2
 
4.8%
Hangul
ValueCountFrequency (%)
조 1
11.1%
계 1
11.1%
합 1
11.1%
수 1
11.1%
건 1
11.1%
리 1
11.1%
처 1
11.1%
미 1
11.1%
구 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
82.4%
Hangul 9
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
19.0%
0 6
14.3%
3 5
11.9%
6 5
11.9%
5 4
9.5%
4 4
9.5%
7 3
 
7.1%
8 3
 
7.1%
2 2
 
4.8%
9 2
 
4.8%
Hangul
ValueCountFrequency (%)
조 1
11.1%
계 1
11.1%
합 1
11.1%
수 1
11.1%
건 1
11.1%
리 1
11.1%
처 1
11.1%
미 1
11.1%
구 1
11.1%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Unnamed: 13
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing10
Missing (%)47.6%
Memory size300.0 B
2023-12-11T00:48:39.634581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.5454545
Min length1

Characters and Unicode

Total characters17
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)45.5%

Sample

1st row거부거절
2nd row0.4
3rd row26
4th row6
5th row6
ValueCountFrequency (%)
6 2
18.2%
1 2
18.2%
2 2
18.2%
거부거절 1
9.1%
0.4 1
9.1%
26 1
9.1%
5 1
9.1%
3 1
9.1%
2023-12-11T00:48:39.972587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 3
17.6%
2 3
17.6%
1 2
11.8%
거 2
11.8%
부 1
 
5.9%
절 1
 
5.9%
0 1
 
5.9%
. 1
 
5.9%
4 1
 
5.9%
5 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
70.6%
Other Letter 4
 
23.5%
Other Punctuation 1
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 3
25.0%
2 3
25.0%
1 2
16.7%
0 1
 
8.3%
4 1
 
8.3%
5 1
 
8.3%
3 1
 
8.3%
Other Letter
ValueCountFrequency (%)
거 2
50.0%
부 1
25.0%
절 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13
76.5%
Hangul 4
 
23.5%

Most frequent character per script

Common
ValueCountFrequency (%)
6 3
23.1%
2 3
23.1%
1 2
15.4%
0 1
 
7.7%
. 1
 
7.7%
4 1
 
7.7%
5 1
 
7.7%
3 1
 
7.7%
Hangul
ValueCountFrequency (%)
거 2
50.0%
부 1
25.0%
절 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13
76.5%
Hangul 4
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 3
23.1%
2 3
23.1%
1 2
15.4%
0 1
 
7.7%
. 1
 
7.7%
4 1
 
7.7%
5 1
 
7.7%
3 1
 
7.7%
Hangul
ValueCountFrequency (%)
거 2
50.0%
부 1
25.0%
절 1
25.0%

Unnamed: 14
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing16
Missing (%)76.2%
Memory size300.0 B
2023-12-11T00:48:40.090579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length2.2
Min length1

Characters and Unicode

Total characters11
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row상습악의
2nd row0.03
3rd row2
4th row1
5th row1
ValueCountFrequency (%)
1 2
40.0%
상습악의 1
20.0%
0.03 1
20.0%
2 1
20.0%
2023-12-11T00:48:40.386894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
18.2%
0 2
18.2%
상 1
9.1%
습 1
9.1%
악 1
9.1%
의 1
9.1%
. 1
9.1%
3 1
9.1%
2 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
54.5%
Other Letter 4
36.4%
Other Punctuation 1
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
3 1
16.7%
2 1
16.7%
Other Letter
ValueCountFrequency (%)
상 1
25.0%
습 1
25.0%
악 1
25.0%
의 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
63.6%
Hangul 4
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
. 1
14.3%
3 1
14.3%
2 1
14.3%
Hangul
ValueCountFrequency (%)
상 1
25.0%
습 1
25.0%
악 1
25.0%
의 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
63.6%
Hangul 4
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
. 1
14.3%
3 1
14.3%
2 1
14.3%
Hangul
ValueCountFrequency (%)
상 1
25.0%
습 1
25.0%
악 1
25.0%
의 1
25.0%

Unnamed: 15
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2023-12-11T00:48:40.509730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length46
Mean length46
Min length46

Characters and Unicode

Total characters46
Distinct characters12
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기간 : 2015-01-01 00:00:00 ~ 2015-12-31 23:59:59
ValueCountFrequency (%)
2
28.6%
기간 1
14.3%
2015-01-01 1
14.3%
00:00:00 1
14.3%
2015-12-31 1
14.3%
23:59:59 1
14.3%
2023-12-11T00:48:40.761754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
21.7%
6
13.0%
1 6
13.0%
: 5
10.9%
2 4
 
8.7%
5 4
 
8.7%
- 4
 
8.7%
3 2
 
4.3%
9 2
 
4.3%
기 1
 
2.2%
Other values (2) 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
60.9%
Space Separator 6
 
13.0%
Other Punctuation 5
 
10.9%
Dash Punctuation 4
 
8.7%
Other Letter 2
 
4.3%
Math Symbol 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
35.7%
1 6
21.4%
2 4
 
14.3%
5 4
 
14.3%
3 2
 
7.1%
9 2
 
7.1%
Other Letter
ValueCountFrequency (%)
기 1
50.0%
간 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
: 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
95.7%
Hangul 2
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
22.7%
6
13.6%
1 6
13.6%
: 5
11.4%
2 4
 
9.1%
5 4
 
9.1%
- 4
 
9.1%
3 2
 
4.5%
9 2
 
4.5%
~ 1
 
2.3%
Hangul
ValueCountFrequency (%)
기 1
50.0%
간 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
95.7%
Hangul 2
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
22.7%
6
13.6%
1 6
13.6%
: 5
11.4%
2 4
 
9.1%
5 4
 
9.1%
- 4
 
9.1%
3 2
 
4.5%
9 2
 
4.5%
~ 1
 
2.3%
Hangul
ValueCountFrequency (%)
기 1
50.0%
간 1
50.0%

Unnamed: 16
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:40.917066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9230769
Min length2

Characters and Unicode

Total characters38
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)84.6%

Sample

1st row오인(구조)
2nd row14.36
3rd row927
4th row169
5th row178
ValueCountFrequency (%)
41 2
15.4%
오인(구조 1
7.7%
14.36 1
7.7%
927 1
7.7%
169 1
7.7%
178 1
7.7%
113 1
7.7%
162 1
7.7%
70 1
7.7%
74 1
7.7%
Other values (2) 2
15.4%
2023-12-11T00:48:41.199549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
21.1%
4 5
13.2%
3 4
10.5%
6 4
10.5%
7 4
10.5%
9 2
 
5.3%
2 2
 
5.3%
오 1
 
2.6%
인 1
 
2.6%
( 1
 
2.6%
Other values (6) 6
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
81.6%
Other Letter 4
 
10.5%
Open Punctuation 1
 
2.6%
Close Punctuation 1
 
2.6%
Other Punctuation 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
25.8%
4 5
16.1%
3 4
12.9%
6 4
12.9%
7 4
12.9%
9 2
 
6.5%
2 2
 
6.5%
8 1
 
3.2%
0 1
 
3.2%
Other Letter
ValueCountFrequency (%)
오 1
25.0%
인 1
25.0%
구 1
25.0%
조 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34
89.5%
Hangul 4
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
23.5%
4 5
14.7%
3 4
11.8%
6 4
11.8%
7 4
11.8%
9 2
 
5.9%
2 2
 
5.9%
( 1
 
2.9%
) 1
 
2.9%
. 1
 
2.9%
Other values (2) 2
 
5.9%
Hangul
ValueCountFrequency (%)
오 1
25.0%
인 1
25.0%
구 1
25.0%
조 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
89.5%
Hangul 4
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
23.5%
4 5
14.7%
3 4
11.8%
6 4
11.8%
7 4
11.8%
9 2
 
5.9%
2 2
 
5.9%
( 1
 
2.9%
) 1
 
2.9%
. 1
 
2.9%
Other values (2) 2
 
5.9%
Hangul
ValueCountFrequency (%)
오 1
25.0%
인 1
25.0%
구 1
25.0%
조 1
25.0%

Unnamed: 17
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2023-12-11T00:48:41.314299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row출력일시 :
ValueCountFrequency (%)
출력일시 1
50.0%
1
50.0%
2023-12-11T00:48:41.514406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
28.6%
출 1
14.3%
력 1
14.3%
일 1
14.3%
시 1
14.3%
: 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
57.1%
Space Separator 2
28.6%
Other Punctuation 1
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 1
25.0%
력 1
25.0%
일 1
25.0%
시 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
57.1%
Common 3
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 1
25.0%
력 1
25.0%
일 1
25.0%
시 1
25.0%
Common
ValueCountFrequency (%)
2
66.7%
: 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
57.1%
ASCII 3
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
66.7%
: 1
33.3%
Hangul
ValueCountFrequency (%)
출 1
25.0%
력 1
25.0%
일 1
25.0%
시 1
25.0%

Unnamed: 18
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2023-12-11T00:48:41.657308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2142857
Min length2

Characters and Unicode

Total characters45
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row자체처리
2nd row75.78
3rd row4891
4th row1054
5th row774
ValueCountFrequency (%)
자체처리 1
 
7.1%
75.78 1
 
7.1%
4891 1
 
7.1%
1054 1
 
7.1%
774 1
 
7.1%
637 1
 
7.1%
866 1
 
7.1%
206 1
 
7.1%
304 1
 
7.1%
430 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T00:48:41.917676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
13.3%
0 6
13.3%
4 5
11.1%
1 5
11.1%
6 4
8.9%
3 4
8.9%
8 3
6.7%
2 3
6.7%
5 2
 
4.4%
9 2
 
4.4%
Other values (5) 5
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
88.9%
Other Letter 4
 
8.9%
Other Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
15.0%
0 6
15.0%
4 5
12.5%
1 5
12.5%
6 4
10.0%
3 4
10.0%
8 3
7.5%
2 3
7.5%
5 2
 
5.0%
9 2
 
5.0%
Other Letter
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
처 1
25.0%
리 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
91.1%
Hangul 4
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
14.6%
0 6
14.6%
4 5
12.2%
1 5
12.2%
6 4
9.8%
3 4
9.8%
8 3
7.3%
2 3
7.3%
5 2
 
4.9%
9 2
 
4.9%
Hangul
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
처 1
25.0%
리 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
91.1%
Hangul 4
 
8.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
14.6%
0 6
14.6%
4 5
12.2%
1 5
12.2%
6 4
9.8%
3 4
9.8%
8 3
7.3%
2 3
7.3%
5 2
 
4.9%
9 2
 
4.9%
Hangul
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
처 1
25.0%
리 1
25.0%

Unnamed: 19
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:42.070055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.6153846
Min length2

Characters and Unicode

Total characters34
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row타기관처리
2nd row8.71
3rd row562
4th row96
5th row101
ValueCountFrequency (%)
타기관처리 1
 
7.7%
8.71 1
 
7.7%
562 1
 
7.7%
96 1
 
7.7%
101 1
 
7.7%
100 1
 
7.7%
37 1
 
7.7%
14 1
 
7.7%
85 1
 
7.7%
26 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T00:48:42.322896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
17.6%
4 4
11.8%
7 3
8.8%
6 3
8.8%
2 3
8.8%
0 3
8.8%
8 2
 
5.9%
5 2
 
5.9%
타 1
 
2.9%
기 1
 
2.9%
Other values (6) 6
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
82.4%
Other Letter 5
 
14.7%
Other Punctuation 1
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
21.4%
4 4
14.3%
7 3
10.7%
6 3
10.7%
2 3
10.7%
0 3
10.7%
8 2
 
7.1%
5 2
 
7.1%
9 1
 
3.6%
3 1
 
3.6%
Other Letter
ValueCountFrequency (%)
타 1
20.0%
기 1
20.0%
관 1
20.0%
처 1
20.0%
리 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
85.3%
Hangul 5
 
14.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
20.7%
4 4
13.8%
7 3
10.3%
6 3
10.3%
2 3
10.3%
0 3
10.3%
8 2
 
6.9%
5 2
 
6.9%
. 1
 
3.4%
9 1
 
3.4%
Hangul
ValueCountFrequency (%)
타 1
20.0%
기 1
20.0%
관 1
20.0%
처 1
20.0%
리 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29
85.3%
Hangul 5
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
20.7%
4 4
13.8%
7 3
10.3%
6 3
10.3%
2 3
10.3%
0 3
10.3%
8 2
 
6.9%
5 2
 
6.9%
. 1
 
3.4%
9 1
 
3.4%
Hangul
ValueCountFrequency (%)
타 1
20.0%
기 1
20.0%
관 1
20.0%
처 1
20.0%
리 1
20.0%

Unnamed: 20
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
Minimum2016-04-14 00:00:00
Maximum2016-04-14 00:00:00
2023-12-11T00:48:42.432905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:48:42.524699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Unnamed: 21
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing9
Missing (%)42.9%
Memory size300.0 B
2023-12-11T00:48:42.626836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length2.0833333
Min length1

Characters and Unicode

Total characters25
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row허위신고(구조)
2nd row0.71
3rd row46
4th row11
5th row9
ValueCountFrequency (%)
1 4
33.3%
허위신고(구조 1
 
8.3%
0.71 1
 
8.3%
46 1
 
8.3%
11 1
 
8.3%
9 1
 
8.3%
10 1
 
8.3%
8 1
 
8.3%
4 1
 
8.3%
2023-12-11T00:48:42.985574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
32.0%
0 2
 
8.0%
4 2
 
8.0%
허 1
 
4.0%
위 1
 
4.0%
신 1
 
4.0%
고 1
 
4.0%
( 1
 
4.0%
구 1
 
4.0%
조 1
 
4.0%
Other values (6) 6
24.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
64.0%
Other Letter 6
 
24.0%
Open Punctuation 1
 
4.0%
Close Punctuation 1
 
4.0%
Other Punctuation 1
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
50.0%
0 2
 
12.5%
4 2
 
12.5%
7 1
 
6.2%
6 1
 
6.2%
9 1
 
6.2%
8 1
 
6.2%
Other Letter
ValueCountFrequency (%)
허 1
16.7%
위 1
16.7%
신 1
16.7%
고 1
16.7%
구 1
16.7%
조 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
76.0%
Hangul 6
 
24.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
42.1%
0 2
 
10.5%
4 2
 
10.5%
( 1
 
5.3%
) 1
 
5.3%
. 1
 
5.3%
7 1
 
5.3%
6 1
 
5.3%
9 1
 
5.3%
8 1
 
5.3%
Hangul
ValueCountFrequency (%)
허 1
16.7%
위 1
16.7%
신 1
16.7%
고 1
16.7%
구 1
16.7%
조 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
76.0%
Hangul 6
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
42.1%
0 2
 
10.5%
4 2
 
10.5%
( 1
 
5.3%
) 1
 
5.3%
. 1
 
5.3%
7 1
 
5.3%
6 1
 
5.3%
9 1
 
5.3%
8 1
 
5.3%
Hangul
ValueCountFrequency (%)
허 1
16.7%
위 1
16.7%
신 1
16.7%
고 1
16.7%
구 1
16.7%
조 1
16.7%

Unnamed: 22
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:43.200723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3846154
Min length3

Characters and Unicode

Total characters57
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row활동인원
2nd row104543
3rd row20589
4th row17013
5th row13700
ValueCountFrequency (%)
활동인원 1
 
7.7%
104543 1
 
7.7%
20589 1
 
7.7%
17013 1
 
7.7%
13700 1
 
7.7%
13735 1
 
7.7%
8294 1
 
7.7%
7877 1
 
7.7%
7086 1
 
7.7%
4362 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T00:48:43.749733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
14.0%
5 7
12.3%
7 7
12.3%
0 6
10.5%
8 6
10.5%
1 5
8.8%
4 5
8.8%
2 3
 
5.3%
9 3
 
5.3%
6 3
 
5.3%
Other values (4) 4
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53
93.0%
Other Letter 4
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
15.1%
5 7
13.2%
7 7
13.2%
0 6
11.3%
8 6
11.3%
1 5
9.4%
4 5
9.4%
2 3
 
5.7%
9 3
 
5.7%
6 3
 
5.7%
Other Letter
ValueCountFrequency (%)
활 1
25.0%
동 1
25.0%
인 1
25.0%
원 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53
93.0%
Hangul 4
 
7.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
15.1%
5 7
13.2%
7 7
13.2%
0 6
11.3%
8 6
11.3%
1 5
9.4%
4 5
9.4%
2 3
 
5.7%
9 3
 
5.7%
6 3
 
5.7%
Hangul
ValueCountFrequency (%)
활 1
25.0%
동 1
25.0%
인 1
25.0%
원 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
93.0%
Hangul 4
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
15.1%
5 7
13.2%
7 7
13.2%
0 6
11.3%
8 6
11.3%
1 5
9.4%
4 5
9.4%
2 3
 
5.7%
9 3
 
5.7%
6 3
 
5.7%
Hangul
ValueCountFrequency (%)
활 1
25.0%
동 1
25.0%
인 1
25.0%
원 1
25.0%

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing20
Missing (%)95.2%
Memory size300.0 B

Unnamed: 24
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Memory size300.0 B
2023-12-11T00:48:44.024225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters52
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row동원장비
2nd row51080
3rd row7756
4th row7467
5th row5129
ValueCountFrequency (%)
동원장비 1
 
7.7%
51080 1
 
7.7%
7756 1
 
7.7%
7467 1
 
7.7%
5129 1
 
7.7%
5353 1
 
7.7%
9774 1
 
7.7%
4136 1
 
7.7%
3136 1
 
7.7%
2492 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T00:48:44.472649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
15.4%
5 6
11.5%
7 6
11.5%
1 5
9.6%
6 5
9.6%
2 5
9.6%
4 4
7.7%
9 4
7.7%
8 3
 
5.8%
0 2
 
3.8%
Other values (4) 4
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
92.3%
Other Letter 4
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
16.7%
5 6
12.5%
7 6
12.5%
1 5
10.4%
6 5
10.4%
2 5
10.4%
4 4
8.3%
9 4
8.3%
8 3
 
6.2%
0 2
 
4.2%
Other Letter
ValueCountFrequency (%)
동 1
25.0%
원 1
25.0%
장 1
25.0%
비 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48
92.3%
Hangul 4
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
16.7%
5 6
12.5%
7 6
12.5%
1 5
10.4%
6 5
10.4%
2 5
10.4%
4 4
8.3%
9 4
8.3%
8 3
 
6.2%
0 2
 
4.2%
Hangul
ValueCountFrequency (%)
동 1
25.0%
원 1
25.0%
장 1
25.0%
비 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
92.3%
Hangul 4
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
16.7%
5 6
12.5%
7 6
12.5%
1 5
10.4%
6 5
10.4%
2 5
10.4%
4 4
8.3%
9 4
8.3%
8 3
 
6.2%
0 2
 
4.2%
Hangul
ValueCountFrequency (%)
동 1
25.0%
원 1
25.0%
장 1
25.0%
비 1
25.0%

Sample

구조실적 총괄Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA>NaN<NA>
1<NA>서소 : 전라북도 - 전북소방안전본부 - 모두<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기간 : 2015-01-01 00:00:00 ~ 2015-12-31 23:59:59<NA><NA><NA><NA>NaT<NA><NA>NaN<NA>
2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA>NaN<NA>
3<NA>구 분출동건수구조처리건수<NA><NA><NA><NA><NA>구조인원구조미처리건수<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA>활동인원NaN동원장비
4<NA><NA><NA>합계안전조치인명검색인명구조기타<NA><NA>합계<NA><NA>거부거절상습악의<NA>오인(구조)<NA>자체처리타기관처리NaT허위신고(구조)<NA>NaN<NA>
5<NA>비율<NA>10053.214.1920.0722.53<NA><NA>100<NA><NA>0.40.03<NA>14.36<NA>75.788.71NaT0.71<NA>NaN<NA>
6<NA>합계333822692814329112754046068<NA>56016454<NA><NA>262<NA>927<NA>4891562NaT46104543NaN51080
7<NA>전주덕진소방서6360502426651247671468<NA>6271336<NA><NA>6<NA><NA>169<NA>105496NaT1120589NaN7756
8<NA>전주완산소방서5255418723601651071591<NA>11721068<NA><NA>6<NA><NA>178<NA>774101NaT917013NaN7467
9<NA>군산소방서401831571714193587663<NA>531861<NA><NA>1<NA><NA>113<NA>637100NaT1013700NaN5129
구조실적 총괄Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24
11<NA>정읍소방서25402247121886397546<NA>442293<NA><NA>2<NA><NA>70<NA>20614NaT18294NaN9774
12<NA>남원소방서283723721305109436522<NA>535465<NA><NA>11<NA>74<NA>30485NaT<NA>7877NaN4136
13<NA>김제소방서2345184184655418522<NA>423504<NA><NA>3<NA><NA>41<NA>43026NaT47086NaN3136
14<NA>고창소방서1646147187460213324<NA>239175<NA><NA><NA><NA><NA>33<NA>9744NaT14362NaN2492
15<NA>부안소방서1714144457875437354<NA>515270<NA><NA><NA>1<NA>41<NA>21017NaT15389NaN2286
16<NA>무진장소방서23561963116659340398<NA>336393<NA><NA>2<NA><NA>46<NA>30242NaT15855NaN3353
17<NA>소방_항공대130119126947<NA>9011<NA><NA><NA><NA><NA><NA><NA>11<NA>NaT<NA>643NaN198
18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA>NaN<NA>
19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>출력일시 :<NA><NA>2016-04-14<NA><NA>13:08:05<NA>
20<NA><NA><NA><NA><NA><NA><NA><NA>1/1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA>NaN<NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 24# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA><NA>3