Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells725
Missing cells (%)83.0%
Duplicate rows3
Duplicate rows (%)7.9%
Total size in memory7.0 KiB
Average record size in memory187.5 B

Variable types

Text8
Unsupported14
Categorical1

Dataset

Description대전광역시 온천원 보호지구 지정현황을 제공하는 자료입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15083535/fileData.do

Alerts

Unnamed: 8 has constant value ""Constant
Unnamed: 9 has constant value ""Constant
Unnamed: 20 has constant value ""Constant
Dataset has 3 (7.9%) duplicate rowsDuplicates
Unnamed: 0 has 34 (89.5%) missing valuesMissing
온천원 보호지구 지정현황(2021.1.1.기준) has 32 (84.2%) missing valuesMissing
Unnamed: 2 has 33 (86.8%) missing valuesMissing
Unnamed: 3 has 33 (86.8%) missing valuesMissing
Unnamed: 4 has 34 (89.5%) missing valuesMissing
Unnamed: 5 has 34 (89.5%) missing valuesMissing
Unnamed: 6 has 35 (92.1%) missing valuesMissing
Unnamed: 7 has 35 (92.1%) missing valuesMissing
Unnamed: 8 has 37 (97.4%) missing valuesMissing
Unnamed: 9 has 37 (97.4%) missing valuesMissing
Unnamed: 10 has 32 (84.2%) missing valuesMissing
Unnamed: 11 has 33 (86.8%) missing valuesMissing
Unnamed: 12 has 31 (81.6%) missing valuesMissing
Unnamed: 13 has 33 (86.8%) missing valuesMissing
Unnamed: 14 has 33 (86.8%) missing valuesMissing
Unnamed: 15 has 33 (86.8%) missing valuesMissing
Unnamed: 16 has 33 (86.8%) missing valuesMissing
Unnamed: 17 has 32 (84.2%) missing valuesMissing
Unnamed: 18 has 32 (84.2%) missing valuesMissing
Unnamed: 19 has 33 (86.8%) missing valuesMissing
Unnamed: 20 has 37 (97.4%) missing valuesMissing
Unnamed: 22 has 19 (50.0%) missing valuesMissing
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 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: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:51:37.198428
Analysis finished2023-12-12 07:51:37.478577
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing34
Missing (%)89.5%
Memory size436.0 B
2023-12-12T16:51:37.989321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.25
Min length2

Characters and Unicode

Total characters9
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row구분
2nd row합계
3rd row서구
4th row유성구
ValueCountFrequency (%)
구분 1
25.0%
합계 1
25.0%
서구 1
25.0%
유성구 1
25.0%
2023-12-12T16:51:38.265721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 3
33.3%
분 1
 
11.1%
합 1
 
11.1%
계 1
 
11.1%
서 1
 
11.1%
유 1
 
11.1%
성 1
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3
33.3%
분 1
 
11.1%
합 1
 
11.1%
계 1
 
11.1%
서 1
 
11.1%
유 1
 
11.1%
성 1
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3
33.3%
분 1
 
11.1%
합 1
 
11.1%
계 1
 
11.1%
서 1
 
11.1%
유 1
 
11.1%
성 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 3
33.3%
분 1
 
11.1%
합 1
 
11.1%
계 1
 
11.1%
서 1
 
11.1%
유 1
 
11.1%
성 1
 
11.1%

온천원 보호지구 지정현황(2021.1.1.기준)
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing32
Missing (%)84.2%
Memory size436.0 B
2023-12-12T16:51:38.401322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9
Min length3

Characters and Unicode

Total characters54
Distinct characters24
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

Unique6 ?
Unique (%)100.0%

Sample

1st row온천지구(구역)명
2nd row4개소
3rd row서구 만년 온천공보호구역
4th row유성온천원보호지구
5th row도룡 온천공보호구역
ValueCountFrequency (%)
온천공보호구역 3
30.0%
온천지구(구역)명 1
 
10.0%
4개소 1
 
10.0%
서구 1
 
10.0%
만년 1
 
10.0%
유성온천원보호지구 1
 
10.0%
도룡 1
 
10.0%
덕명 1
 
10.0%
2023-12-12T16:51:38.649627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 7
13.0%
온 5
 
9.3%
천 5
 
9.3%
호 4
 
7.4%
보 4
 
7.4%
4
 
7.4%
역 4
 
7.4%
공 3
 
5.6%
지 2
 
3.7%
명 2
 
3.7%
Other values (14) 14
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
87.0%
Space Separator 4
 
7.4%
Open Punctuation 1
 
1.9%
Close Punctuation 1
 
1.9%
Decimal Number 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7
14.9%
온 5
10.6%
천 5
10.6%
호 4
 
8.5%
보 4
 
8.5%
역 4
 
8.5%
공 3
 
6.4%
지 2
 
4.3%
명 2
 
4.3%
룡 1
 
2.1%
Other values (10) 10
21.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
87.0%
Common 7
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7
14.9%
온 5
10.6%
천 5
10.6%
호 4
 
8.5%
보 4
 
8.5%
역 4
 
8.5%
공 3
 
6.4%
지 2
 
4.3%
명 2
 
4.3%
룡 1
 
2.1%
Other values (10) 10
21.3%
Common
ValueCountFrequency (%)
4
57.1%
( 1
 
14.3%
) 1
 
14.3%
4 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
87.0%
ASCII 7
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 7
14.9%
온 5
10.6%
천 5
10.6%
호 4
 
8.5%
보 4
 
8.5%
역 4
 
8.5%
공 3
 
6.4%
지 2
 
4.3%
명 2
 
4.3%
룡 1
 
2.1%
Other values (10) 10
21.3%
ASCII
ValueCountFrequency (%)
4
57.1%
( 1
 
14.3%
) 1
 
14.3%
4 1
 
14.3%

Unnamed: 2
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing33
Missing (%)86.8%
Memory size436.0 B
2023-12-12T16:51:38.793839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length12.4
Min length9

Characters and Unicode

Total characters62
Distinct characters34
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

Unique5 ?
Unique (%)100.0%

Sample

1st row소재지(도로명 표기)
2nd row서구 만년로 77
3rd row유성구 온천로 81
4th row유성구 엑스포로123번길 33
5th row유성구 덕명동 104-32번지
ValueCountFrequency (%)
유성구 3
21.4%
소재지(도로명 1
 
7.1%
표기 1
 
7.1%
서구 1
 
7.1%
만년로 1
 
7.1%
77 1
 
7.1%
온천로 1
 
7.1%
81 1
 
7.1%
엑스포로123번길 1
 
7.1%
33 1
 
7.1%
Other values (2) 2
14.3%
2023-12-12T16:51:39.074920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
14.5%
로 4
 
6.5%
구 4
 
6.5%
3 4
 
6.5%
성 3
 
4.8%
유 3
 
4.8%
1 3
 
4.8%
2 2
 
3.2%
지 2
 
3.2%
명 2
 
3.2%
Other values (24) 26
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36
58.1%
Decimal Number 14
 
22.6%
Space Separator 9
 
14.5%
Close Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%
Dash Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4
 
11.1%
구 4
 
11.1%
성 3
 
8.3%
유 3
 
8.3%
지 2
 
5.6%
명 2
 
5.6%
번 2
 
5.6%
스 1
 
2.8%
포 1
 
2.8%
길 1
 
2.8%
Other values (13) 13
36.1%
Decimal Number
ValueCountFrequency (%)
3 4
28.6%
1 3
21.4%
2 2
14.3%
7 2
14.3%
0 1
 
7.1%
4 1
 
7.1%
8 1
 
7.1%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36
58.1%
Common 26
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4
 
11.1%
구 4
 
11.1%
성 3
 
8.3%
유 3
 
8.3%
지 2
 
5.6%
명 2
 
5.6%
번 2
 
5.6%
스 1
 
2.8%
포 1
 
2.8%
길 1
 
2.8%
Other values (13) 13
36.1%
Common
ValueCountFrequency (%)
9
34.6%
3 4
15.4%
1 3
 
11.5%
2 2
 
7.7%
7 2
 
7.7%
0 1
 
3.8%
4 1
 
3.8%
8 1
 
3.8%
) 1
 
3.8%
( 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36
58.1%
ASCII 26
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
34.6%
3 4
15.4%
1 3
 
11.5%
2 2
 
7.7%
7 2
 
7.7%
0 1
 
3.8%
4 1
 
3.8%
8 1
 
3.8%
) 1
 
3.8%
( 1
 
3.8%
Hangul
ValueCountFrequency (%)
로 4
 
11.1%
구 4
 
11.1%
성 3
 
8.3%
유 3
 
8.3%
지 2
 
5.6%
명 2
 
5.6%
번 2
 
5.6%
스 1
 
2.8%
포 1
 
2.8%
길 1
 
2.8%
Other values (13) 13
36.1%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)89.5%
Memory size436.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)89.5%
Memory size436.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)92.1%
Memory size436.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)92.1%
Memory size436.0 B

Unnamed: 8
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2023-12-12T16:51:39.212036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters17
Distinct characters15
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

Unique1 ?
Unique (%)100.0%

Sample

1st row개발계획수립중 (시작시기 기재)
ValueCountFrequency (%)
개발계획수립중 1
33.3%
시작시기 1
33.3%
기재 1
33.3%
2023-12-12T16:51:39.513658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 2
 
11.8%
기 2
 
11.8%
개 1
 
5.9%
발 1
 
5.9%
계 1
 
5.9%
획 1
 
5.9%
수 1
 
5.9%
립 1
 
5.9%
중 1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
76.5%
Control 1
 
5.9%
Open Punctuation 1
 
5.9%
Space Separator 1
 
5.9%
Close Punctuation 1
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2
15.4%
기 2
15.4%
개 1
7.7%
발 1
7.7%
계 1
7.7%
획 1
7.7%
수 1
7.7%
립 1
7.7%
중 1
7.7%
작 1
7.7%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2
15.4%
기 2
15.4%
개 1
7.7%
발 1
7.7%
계 1
7.7%
획 1
7.7%
수 1
7.7%
립 1
7.7%
중 1
7.7%
작 1
7.7%
Common
ValueCountFrequency (%)
1
25.0%
( 1
25.0%
1
25.0%
) 1
25.0%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 2
15.4%
기 2
15.4%
개 1
7.7%
발 1
7.7%
계 1
7.7%
획 1
7.7%
수 1
7.7%
립 1
7.7%
중 1
7.7%
작 1
7.7%
ASCII
ValueCountFrequency (%)
1
25.0%
( 1
25.0%
1
25.0%
) 1
25.0%

Unnamed: 9
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2023-12-12T16:51:39.685497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
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 row개발계획미수립
ValueCountFrequency (%)
개발계획미수립 1
100.0%
2023-12-12T16:51:39.957017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 1
14.3%
발 1
14.3%
계 1
14.3%
획 1
14.3%
미 1
14.3%
수 1
14.3%
립 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 1
14.3%
발 1
14.3%
계 1
14.3%
획 1
14.3%
미 1
14.3%
수 1
14.3%
립 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 1
14.3%
발 1
14.3%
계 1
14.3%
획 1
14.3%
미 1
14.3%
수 1
14.3%
립 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 1
14.3%
발 1
14.3%
계 1
14.3%
획 1
14.3%
미 1
14.3%
수 1
14.3%
립 1
14.3%

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)84.2%
Memory size436.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)81.6%
Memory size436.0 B

Unnamed: 13
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing33
Missing (%)86.8%
Memory size436.0 B
2023-12-12T16:51:40.111470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length14
Mean length14.4
Min length2

Characters and Unicode

Total characters72
Distinct characters17
Distinct categories9 ?
Distinct scripts3 ?
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 row성분
2nd rowCa(Na)-HCO3 유황
3rd rowNa-HCO3 Na(Ca)-HCO3 Mg(Ca+Na)-HCO3
4th rowNa(Ca)-HCO3
5th rowNa(Ca)-HCO3
ValueCountFrequency (%)
na(ca)-hco3 3
37.5%
성분 1
 
12.5%
ca(na)-hco3 1
 
12.5%
유황 1
 
12.5%
na-hco3 1
 
12.5%
mg(ca+na)-hco3 1
 
12.5%
2023-12-12T16:51:40.428355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 11
15.3%
C 11
15.3%
N 6
8.3%
H 6
8.3%
O 6
8.3%
3 6
8.3%
- 6
8.3%
) 5
6.9%
( 5
6.9%
3
 
4.2%
Other values (7) 7
9.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 30
41.7%
Lowercase Letter 12
 
16.7%
Decimal Number 6
 
8.3%
Dash Punctuation 6
 
8.3%
Close Punctuation 5
 
6.9%
Open Punctuation 5
 
6.9%
Other Letter 4
 
5.6%
Control 3
 
4.2%
Math Symbol 1
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 11
36.7%
N 6
20.0%
H 6
20.0%
O 6
20.0%
M 1
 
3.3%
Other Letter
ValueCountFrequency (%)
성 1
25.0%
분 1
25.0%
유 1
25.0%
황 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
a 11
91.7%
g 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
3 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 42
58.3%
Common 26
36.1%
Hangul 4
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 11
26.2%
C 11
26.2%
N 6
14.3%
H 6
14.3%
O 6
14.3%
M 1
 
2.4%
g 1
 
2.4%
Common
ValueCountFrequency (%)
3 6
23.1%
- 6
23.1%
) 5
19.2%
( 5
19.2%
3
11.5%
+ 1
 
3.8%
Hangul
ValueCountFrequency (%)
성 1
25.0%
분 1
25.0%
유 1
25.0%
황 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
94.4%
Hangul 4
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 11
16.2%
C 11
16.2%
N 6
8.8%
H 6
8.8%
O 6
8.8%
3 6
8.8%
- 6
8.8%
) 5
7.4%
( 5
7.4%
3
 
4.4%
Other values (3) 3
 
4.4%
Hangul
ValueCountFrequency (%)
성 1
25.0%
분 1
25.0%
유 1
25.0%
황 1
25.0%

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)84.2%
Memory size436.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)84.2%
Memory size436.0 B

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)86.8%
Memory size436.0 B

Unnamed: 20
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2023-12-12T16:51:40.635011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters14
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row과망간산칼륨소비량(㎎/L)
ValueCountFrequency (%)
과망간산칼륨소비량(㎎/l 1
100.0%
2023-12-12T16:51:40.959789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1
 
7.1%
망 1
 
7.1%
간 1
 
7.1%
산 1
 
7.1%
칼 1
 
7.1%
륨 1
 
7.1%
소 1
 
7.1%
비 1
 
7.1%
량 1
 
7.1%
( 1
 
7.1%
Other values (4) 4
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
64.3%
Open Punctuation 1
 
7.1%
Other Symbol 1
 
7.1%
Other Punctuation 1
 
7.1%
Uppercase Letter 1
 
7.1%
Close Punctuation 1
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1
11.1%
망 1
11.1%
간 1
11.1%
산 1
11.1%
칼 1
11.1%
륨 1
11.1%
소 1
11.1%
비 1
11.1%
량 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎎ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
64.3%
Common 4
28.6%
Latin 1
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1
11.1%
망 1
11.1%
간 1
11.1%
산 1
11.1%
칼 1
11.1%
륨 1
11.1%
소 1
11.1%
비 1
11.1%
량 1
11.1%
Common
ValueCountFrequency (%)
( 1
25.0%
㎎ 1
25.0%
/ 1
25.0%
) 1
25.0%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
64.3%
ASCII 4
28.6%
CJK Compat 1
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1
11.1%
망 1
11.1%
간 1
11.1%
산 1
11.1%
칼 1
11.1%
륨 1
11.1%
소 1
11.1%
비 1
11.1%
량 1
11.1%
ASCII
ValueCountFrequency (%)
( 1
25.0%
/ 1
25.0%
L 1
25.0%
) 1
25.0%
CJK Compat
ValueCountFrequency (%)
㎎ 1
100.0%

Unnamed: 21
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
개인공
17 
개인공 미사용
12 
<NA>
5 
구유공
4 

Length

Max length7
Median length3
Mean length4.3947368
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인공 17
44.7%
개인공 미사용 12
31.6%
<NA> 5
 
13.2%
구유공 4
 
10.5%

Length

2023-12-12T16:51:41.202323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:51:41.398016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인공 29
58.0%
미사용 12
24.0%
na 5
 
10.0%
구유공 4
 
8.0%

Unnamed: 22
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing19
Missing (%)50.0%
Memory size436.0 B
2023-12-12T16:51:41.764616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.2105263
Min length3

Characters and Unicode

Total characters99
Distinct characters53
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

Unique19 ?
Unique (%)100.0%

Sample

1st row계룡스파텔
2nd row동아온천모텔
3rd row대온장
4th row아드리아
5th row라온컨벤션
ValueCountFrequency (%)
계룡스파텔 1
 
4.5%
동아온천모텔 1
 
4.5%
더웰스파앤피트니스 1
 
4.5%
사무소 1
 
4.5%
온천관리 1
 
4.5%
스파 1
 
4.5%
사이언스 1
 
4.5%
사우나 1
 
4.5%
동아온천 1
 
4.5%
청수장 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T16:51:42.295723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 7
 
7.1%
온 6
 
6.1%
스 5
 
5.1%
아 5
 
5.1%
장 5
 
5.1%
호 4
 
4.0%
천 4
 
4.0%
리 4
 
4.0%
3
 
3.0%
파 3
 
3.0%
Other values (43) 53
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
94.9%
Space Separator 3
 
3.0%
Control 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 7
 
7.4%
온 6
 
6.4%
스 5
 
5.3%
아 5
 
5.3%
장 5
 
5.3%
호 4
 
4.3%
천 4
 
4.3%
리 4
 
4.3%
파 3
 
3.2%
사 3
 
3.2%
Other values (41) 48
51.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
94.9%
Common 5
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 7
 
7.4%
온 6
 
6.4%
스 5
 
5.3%
아 5
 
5.3%
장 5
 
5.3%
호 4
 
4.3%
천 4
 
4.3%
리 4
 
4.3%
파 3
 
3.2%
사 3
 
3.2%
Other values (41) 48
51.1%
Common
ValueCountFrequency (%)
3
60.0%
2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
94.9%
ASCII 5
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 7
 
7.4%
온 6
 
6.4%
스 5
 
5.3%
아 5
 
5.3%
장 5
 
5.3%
호 4
 
4.3%
천 4
 
4.3%
리 4
 
4.3%
파 3
 
3.2%
사 3
 
3.2%
Other values (41) 48
51.1%
ASCII
ValueCountFrequency (%)
3
60.0%
2
40.0%

Sample

Unnamed: 0온천원 보호지구 지정현황(2021.1.1.기준)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22
0<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA><NA><NA>
1구분온천지구(구역)명소재지(도로명 표기)온천발견NaN온천원보호지구NaNNaN<NA><NA>온천공보호구역NaN온천자원현황<NA>NaNNaNNaN이용시설개수이용자수(천명)수소\n이온\n농도\n(pH)과망간산칼륨소비량(㎎/L)<NA><NA>
2<NA><NA><NA>신고일수리일지정일면적(m2)개발계획승인일자개발계획수립중 (시작시기 기재)개발계획미수립지정일면적(m2)온천공 수성분온도(℃)평균굴착심도(M)적정양수량(톤/일)NaNNaNNaN<NA><NA><NA>
3합계4개소<NA>NaNNaN1개소9388541<NA><NA>3개소18221.235<NA>NaNNaNNaN691528NaN<NA><NA><NA>
4서구서구 만년 온천공보호구역서구 만년로 772012-02-02 00:00:002012-02-09 00:00:00NaNNaNNaN<NA><NA>2012-12-11 00:00:003431.22Ca(Na)-HCO3 유황32110050012459.43<NA><NA><NA>
5유성구유성온천원보호지구유성구 온천로 81NaNNaN1993-04-06 00:00:009388541991-07-25 00:00:00<NA><NA>NaNNaN31Na-HCO3 Na(Ca)-HCO3 Mg(Ca+Na)-HCO335.5280.6353.96711987.9<NA>개인공계룡스파텔
6<NA>도룡 온천공보호구역유성구 엑스포로123번길 332007-04-04 00:00:002007-12-07 00:00:00NaNNaNNaN<NA><NA>2013-06-12 00:00:0049501Na(Ca)-HCO325.91000692008.92<NA>개인공<NA>
7<NA>덕명 온천공보호구역유성구 덕명동 104-32번지2016-11-18 00:00:002017-04-04 00:00:00NaNNaNNaN<NA><NA>2018-06-11 00:00:0098401Na(Ca)-HCO326.49503501858.89<NA>개인공 미사용동아온천모텔
8<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공대온장
9<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공<NA>
Unnamed: 0온천원 보호지구 지정현황(2021.1.1.기준)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22
28<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공 미사용청수장
29<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공동아온천 사우나
30<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공사이언스 스파
31<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공<NA>
32<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>구유공온천관리 사무소
33<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>구유공<NA>
34<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>구유공<NA>
35<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>구유공<NA>
36<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공더웰스파앤피트니스
37<NA><NA><NA>NaNNaNNaNNaNNaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaN<NA>개인공유성컨트리클럽

Duplicate rows

Most frequently occurring

Unnamed: 0온천원 보호지구 지정현황(2021.1.1.기준)Unnamed: 2Unnamed: 8Unnamed: 9Unnamed: 13Unnamed: 20Unnamed: 21Unnamed: 22# duplicates
0<NA><NA><NA><NA><NA><NA><NA>개인공<NA>6
1<NA><NA><NA><NA><NA><NA><NA>개인공 미사용<NA>4
2<NA><NA><NA><NA><NA><NA><NA>구유공<NA>3