Overview

Dataset statistics

Number of variables12
Number of observations624
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory59.8 KiB
Average record size in memory98.2 B

Variable types

Text3
Categorical7
Numeric2

Dataset

Description경남 사천시 공공무료와이파이 현황 자료로 설치 위치와 자료 갱신 일자 통신사 등에 관한 자료임. 자세한 문의는 사천시청 정보통신과로 문의하시기 바랍니다.
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15125707

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
서비스제공사명 is highly imbalanced (52.3%)Imbalance

Reproduction

Analysis started2023-12-29 22:15:42.890412
Analysis finished2023-12-29 22:15:50.378185
Duration7.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct195
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-29T22:15:50.674979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.5480769
Min length2

Characters and Unicode

Total characters4086
Distinct characters206
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)18.9%

Sample

1st row곤명면사무소
2nd row곤명면사무소
3rd row곤명면사무소
4th row곤양면사무소
5th row곤양면사무소
ValueCountFrequency (%)
바다케이블카 53
 
8.2%
무선인터넷거리 37
 
5.8%
본청 25
 
3.9%
시청노을광장 19
 
3.0%
비토국민여가캠핑장 17
 
2.6%
용궁수산시장 16
 
2.5%
용두공원 12
 
1.9%
사천종합운동장 12
 
1.9%
삼천포중앙시장 12
 
1.9%
누리원 11
 
1.7%
Other values (190) 429
66.7%
2023-12-29T22:15:51.634908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 177
 
4.3%
사 132
 
3.2%
천 113
 
2.8%
원 106
 
2.6%
시 106
 
2.6%
공 100
 
2.4%
포 93
 
2.3%
무 92
 
2.3%
소 77
 
1.9%
삼 73
 
1.8%
Other values (196) 3017
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3909
95.7%
Decimal Number 86
 
2.1%
Other Punctuation 64
 
1.6%
Space Separator 19
 
0.5%
Dash Punctuation 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 177
 
4.5%
사 132
 
3.4%
천 113
 
2.9%
원 106
 
2.7%
시 106
 
2.7%
공 100
 
2.6%
포 93
 
2.4%
무 92
 
2.4%
소 77
 
2.0%
삼 73
 
1.9%
Other values (181) 2840
72.7%
Decimal Number
ValueCountFrequency (%)
2 21
24.4%
1 20
23.3%
3 13
15.1%
4 8
 
9.3%
5 7
 
8.1%
6 5
 
5.8%
7 4
 
4.7%
9 3
 
3.5%
8 3
 
3.5%
0 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
# 64
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3909
95.7%
Common 177
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 177
 
4.5%
사 132
 
3.4%
천 113
 
2.9%
원 106
 
2.7%
시 106
 
2.7%
공 100
 
2.6%
포 93
 
2.4%
무 92
 
2.4%
소 77
 
2.0%
삼 73
 
1.9%
Other values (181) 2840
72.7%
Common
ValueCountFrequency (%)
# 64
36.2%
2 21
 
11.9%
1 20
 
11.3%
19
 
10.7%
3 13
 
7.3%
4 8
 
4.5%
5 7
 
4.0%
6 5
 
2.8%
- 4
 
2.3%
7 4
 
2.3%
Other values (5) 12
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3909
95.7%
ASCII 177
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 177
 
4.5%
사 132
 
3.4%
천 113
 
2.9%
원 106
 
2.7%
시 106
 
2.7%
공 100
 
2.6%
포 93
 
2.4%
무 92
 
2.4%
소 77
 
2.0%
삼 73
 
1.9%
Other values (181) 2840
72.7%
ASCII
ValueCountFrequency (%)
# 64
36.2%
2 21
 
11.9%
1 20
 
11.3%
19
 
10.7%
3 13
 
7.3%
4 8
 
4.5%
5 7
 
4.0%
6 5
 
2.8%
- 4
 
2.3%
7 4
 
2.3%
Other values (5) 12
 
6.8%

설치장소상세
Text

Distinct197
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-29T22:15:52.039613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.5961538
Min length2

Characters and Unicode

Total characters4116
Distinct characters209
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)18.6%

Sample

1st row곤명면사무소
2nd row곤명면사무소
3rd row곤명면사무소
4th row곤양면사무소
5th row곤양면사무소
ValueCountFrequency (%)
바다케이블카 53
 
8.2%
무선인터넷거리 37
 
5.7%
본청 25
 
3.9%
시청노을광장 19
 
2.9%
비토국민여가캠핑장 17
 
2.6%
용궁수산시장 16
 
2.5%
삼천포중앙시장 12
 
1.9%
사천종합운동장 12
 
1.9%
용두공원 12
 
1.9%
누리원 11
 
1.7%
Other values (192) 431
66.8%
2023-12-29T22:15:52.791823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 177
 
4.3%
사 122
 
3.0%
천 110
 
2.7%
원 109
 
2.6%
시 108
 
2.6%
공 102
 
2.5%
포 93
 
2.3%
무 87
 
2.1%
터 73
 
1.8%
삼 73
 
1.8%
Other values (199) 3062
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3936
95.6%
Decimal Number 87
 
2.1%
Other Punctuation 64
 
1.6%
Space Separator 21
 
0.5%
Dash Punctuation 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 177
 
4.5%
사 122
 
3.1%
천 110
 
2.8%
원 109
 
2.8%
시 108
 
2.7%
공 102
 
2.6%
포 93
 
2.4%
무 87
 
2.2%
터 73
 
1.9%
삼 73
 
1.9%
Other values (184) 2882
73.2%
Decimal Number
ValueCountFrequency (%)
2 21
24.1%
1 19
21.8%
3 14
16.1%
4 9
10.3%
6 6
 
6.9%
5 6
 
6.9%
8 4
 
4.6%
9 3
 
3.4%
7 3
 
3.4%
0 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
# 64
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3936
95.6%
Common 180
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 177
 
4.5%
사 122
 
3.1%
천 110
 
2.8%
원 109
 
2.8%
시 108
 
2.7%
공 102
 
2.6%
포 93
 
2.4%
무 87
 
2.2%
터 73
 
1.9%
삼 73
 
1.9%
Other values (184) 2882
73.2%
Common
ValueCountFrequency (%)
# 64
35.6%
21
 
11.7%
2 21
 
11.7%
1 19
 
10.6%
3 14
 
7.8%
4 9
 
5.0%
6 6
 
3.3%
5 6
 
3.3%
- 4
 
2.2%
8 4
 
2.2%
Other values (5) 12
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3936
95.6%
ASCII 180
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 177
 
4.5%
사 122
 
3.1%
천 110
 
2.8%
원 109
 
2.8%
시 108
 
2.7%
공 102
 
2.6%
포 93
 
2.4%
무 87
 
2.2%
터 73
 
1.9%
삼 73
 
1.9%
Other values (184) 2882
73.2%
ASCII
ValueCountFrequency (%)
# 64
35.6%
21
 
11.7%
2 21
 
11.7%
1 19
 
10.6%
3 14
 
7.8%
4 9
 
5.0%
6 6
 
3.3%
5 6
 
3.3%
- 4
 
2.2%
8 4
 
2.2%
Other values (5) 12
 
6.7%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
경상남도
624 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 624
100.0%

Length

2023-12-29T22:15:53.031936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:53.247479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 624
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
사천시
624 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사천시 624
100.0%

Length

2023-12-29T22:15:53.473861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:53.656024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사천시 624
100.0%

설치시설구분
Categorical

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
기타
256 
관광
112 
서민·복지시설
109 
관공서
107 
지역문화시설
30 
Other values (3)
 
10

Length

Max length7
Median length2
Mean length3.2564103
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 256
41.0%
관광 112
17.9%
서민·복지시설 109
17.5%
관공서 107
17.1%
지역문화시설 30
 
4.8%
교통시설 4
 
0.6%
공원 4
 
0.6%
문화시설 2
 
0.3%

Length

2023-12-29T22:15:54.008304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:54.372049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 256
41.0%
관광 112
17.9%
서민·복지시설 109
17.5%
관공서 107
17.1%
지역문화시설 30
 
4.8%
교통시설 4
 
0.6%
공원 4
 
0.6%
문화시설 2
 
0.3%

서비스제공사명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
서경방송
560 
KT
64 

Length

Max length4
Median length4
Mean length3.7948718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서경방송
2nd row서경방송
3rd rowKT
4th row서경방송
5th row서경방송

Common Values

ValueCountFrequency (%)
서경방송 560
89.7%
KT 64
 
10.3%

Length

2023-12-29T22:15:54.797646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:55.223943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서경방송 560
89.7%
kt 64
 
10.3%

소재지도로명주소
Text

Distinct155
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-29T22:15:55.816072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length17.828526
Min length12

Characters and Unicode

Total characters11125
Distinct characters129
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)9.5%

Sample

1st row경상남도 사천시 곤명면 원전새길 64
2nd row경상남도 사천시 곤명면 원전새길 64
3rd row경상남도 사천시 곤명면 원전새길 64
4th row경상남도 사천시 곤양면 성내공원길 11
5th row경상남도 사천시 곤양면 성내공원길 11
ValueCountFrequency (%)
사천시 624
23.0%
경상남도 622
22.9%
용현면 96
 
3.5%
사천읍 57
 
2.1%
사천대로 56
 
2.1%
시청로 55
 
2.0%
77 55
 
2.0%
18 42
 
1.5%
서포면 35
 
1.3%
어시장길 34
 
1.3%
Other values (222) 1040
38.3%
2023-12-29T22:15:56.823478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2092
18.8%
사 805
 
7.2%
천 758
 
6.8%
시 736
 
6.6%
남 670
 
6.0%
상 642
 
5.8%
경 628
 
5.6%
도 622
 
5.6%
1 339
 
3.0%
로 318
 
2.9%
Other values (119) 3515
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7325
65.8%
Space Separator 2092
 
18.8%
Decimal Number 1621
 
14.6%
Dash Punctuation 87
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 805
11.0%
천 758
10.3%
시 736
10.0%
남 670
 
9.1%
상 642
 
8.8%
경 628
 
8.6%
도 622
 
8.5%
로 318
 
4.3%
길 245
 
3.3%
면 204
 
2.8%
Other values (107) 1697
23.2%
Decimal Number
ValueCountFrequency (%)
1 339
20.9%
7 244
15.1%
2 226
13.9%
4 165
10.2%
6 147
9.1%
3 134
 
8.3%
8 111
 
6.8%
0 96
 
5.9%
5 82
 
5.1%
9 77
 
4.8%
Space Separator
ValueCountFrequency (%)
2092
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7325
65.8%
Common 3800
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 805
11.0%
천 758
10.3%
시 736
10.0%
남 670
 
9.1%
상 642
 
8.8%
경 628
 
8.6%
도 622
 
8.5%
로 318
 
4.3%
길 245
 
3.3%
면 204
 
2.8%
Other values (107) 1697
23.2%
Common
ValueCountFrequency (%)
2092
55.1%
1 339
 
8.9%
7 244
 
6.4%
2 226
 
5.9%
4 165
 
4.3%
6 147
 
3.9%
3 134
 
3.5%
8 111
 
2.9%
0 96
 
2.5%
- 87
 
2.3%
Other values (2) 159
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7325
65.8%
ASCII 3800
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2092
55.1%
1 339
 
8.9%
7 244
 
6.4%
2 226
 
5.9%
4 165
 
4.3%
6 147
 
3.9%
3 134
 
3.5%
8 111
 
2.9%
0 96
 
2.5%
- 87
 
2.3%
Other values (2) 159
 
4.2%
Hangul
ValueCountFrequency (%)
사 805
11.0%
천 758
10.3%
시 736
10.0%
남 670
 
9.1%
상 642
 
8.8%
경 628
 
8.6%
도 622
 
8.5%
로 318
 
4.3%
길 245
 
3.3%
면 204
 
2.8%
Other values (107) 1697
23.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
경상남도 사천시청
624 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 사천시청
2nd row경상남도 사천시청
3rd row경상남도 사천시청
4th row경상남도 사천시청
5th row경상남도 사천시청

Common Values

ValueCountFrequency (%)
경상남도 사천시청 624
100.0%

Length

2023-12-29T22:15:57.257939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:57.577573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 624
50.0%
사천시청 624
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
055-831-2316
624 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-831-2316
2nd row055-831-2316
3rd row055-831-2316
4th row055-831-2316
5th row055-831-2316

Common Values

ValueCountFrequency (%)
055-831-2316 624
100.0%

Length

2023-12-29T22:15:57.951981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:15:58.236472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-831-2316 624
100.0%

위도
Real number (ℝ)

Distinct619
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.987374
Minimum34.903491
Maximum35.134172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-29T22:15:58.643975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.903491
5-th percentile34.926208
Q134.933125
median34.962236
Q335.043493
95-th percentile35.089855
Maximum35.134172
Range0.23068114
Interquartile range (IQR)0.11036837

Descriptive statistics

Standard deviation0.061623835
Coefficient of variation (CV)0.0017613164
Kurtosis-0.88752038
Mean34.987374
Median Absolute Deviation (MAD)0.03534173
Skewness0.70238274
Sum21832.122
Variance0.0037974971
MonotonicityNot monotonic
2023-12-29T22:15:58.996948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.93369808 2
 
0.3%
35.053548 2
 
0.3%
34.930223 2
 
0.3%
34.926938 2
 
0.3%
34.930925 2
 
0.3%
35.05854245 1
 
0.2%
35.08301746 1
 
0.2%
35.07757058 1
 
0.2%
35.07583863 1
 
0.2%
35.07781424 1
 
0.2%
Other values (609) 609
97.6%
ValueCountFrequency (%)
34.90349113 1
0.2%
34.92385089 1
0.2%
34.923958 1
0.2%
34.92405255 1
0.2%
34.92408919 1
0.2%
34.92480392 1
0.2%
34.92482374 1
0.2%
34.92498208 1
0.2%
34.92508072 1
0.2%
34.92514267 1
0.2%
ValueCountFrequency (%)
35.13417227 1
0.2%
35.13295871 1
0.2%
35.13164521 1
0.2%
35.13162583 1
0.2%
35.13155501 1
0.2%
35.13148559 1
0.2%
35.1313963 1
0.2%
35.13104771 1
0.2%
35.13088024 1
0.2%
35.13082866 1
0.2%

경도
Real number (ℝ)

Distinct621
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.06254
Minimum127.92081
Maximum128.13363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-29T22:15:59.412446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.92081
5-th percentile127.97658
Q1128.05314
median128.07101
Q3128.08505
95-th percentile128.09713
Maximum128.13363
Range0.2128194
Interquartile range (IQR)0.031909225

Descriptive statistics

Standard deviation0.036102866
Coefficient of variation (CV)0.00028191591
Kurtosis2.590543
Mean128.06254
Median Absolute Deviation (MAD)0.015791
Skewness-1.5191335
Sum79911.022
Variance0.0013034169
MonotonicityNot monotonic
2023-12-29T22:15:59.949374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.0531404 2
 
0.3%
128.072568 2
 
0.3%
128.083545 2
 
0.3%
128.0839944 1
 
0.2%
128.085439 1
 
0.2%
128.0530646 1
 
0.2%
128.07432 1
 
0.2%
128.0407611 1
 
0.2%
128.0402259 1
 
0.2%
128.0782148 1
 
0.2%
Other values (611) 611
97.9%
ValueCountFrequency (%)
127.9208095 1
0.2%
127.9208256 1
0.2%
127.9208382 1
0.2%
127.9415851 1
0.2%
127.9415869 1
0.2%
127.9416544 1
0.2%
127.9416982 1
0.2%
127.9596184 1
0.2%
127.959705 1
0.2%
127.9597349 1
0.2%
ValueCountFrequency (%)
128.1336289 1
0.2%
128.1336 1
0.2%
128.1333 1
0.2%
128.1332 1
0.2%
128.133 1
0.2%
128.1329971 1
0.2%
128.1328 1
0.2%
128.1316443 1
0.2%
128.1314464 1
0.2%
128.1240141 1
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-11-30
624 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 624
100.0%

Length

2023-12-29T22:16:00.332147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-29T22:16:00.737941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 624
100.0%

Interactions

2023-12-29T22:15:49.151597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-29T22:15:48.657658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-29T22:15:49.375324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-29T22:15:48.966972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-29T22:16:00.922366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분서비스제공사명위도경도
설치시설구분1.0000.3580.4010.400
서비스제공사명0.3581.0000.2060.102
위도0.4010.2061.0000.703
경도0.4000.1020.7031.000
2023-12-29T22:16:01.296217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스제공사명설치시설구분
서비스제공사명1.0000.268
설치시설구분0.2681.000
2023-12-29T22:16:01.543633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시설구분서비스제공사명
위도1.0000.0420.2040.157
경도0.0421.0000.2080.101
설치시설구분0.2040.2081.0000.268
서비스제공사명0.1570.1010.2681.000

Missing values

2023-12-29T22:15:49.666440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-29T22:15:50.119996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명소재지도로명주소관리기관명관리기관전화번호위도경도데이터기준일자
0곤명면사무소곤명면사무소경상남도사천시관공서서경방송경상남도 사천시 곤명면 원전새길 64경상남도 사천시청055-831-231635.111942127.9415852023-11-30
1곤명면사무소곤명면사무소경상남도사천시관공서서경방송경상남도 사천시 곤명면 원전새길 64경상남도 사천시청055-831-231635.111931127.9416982023-11-30
2곤명면사무소곤명면사무소경상남도사천시관공서KT경상남도 사천시 곤명면 원전새길 64경상남도 사천시청055-831-231635.111977127.9415872023-11-30
3곤양면사무소곤양면사무소경상남도사천시관공서서경방송경상남도 사천시 곤양면 성내공원길 11경상남도 사천시청055-831-231635.057533127.9597052023-11-30
4곤양면사무소곤양면사무소경상남도사천시관공서서경방송경상남도 사천시 곤양면 성내공원길 11경상남도 사천시청055-831-231635.057509127.9596182023-11-30
5곤양면사무소곤양면사무소경상남도사천시관공서서경방송경상남도 사천시 곤양면 성내공원길 11경상남도 사천시청055-831-231635.057565127.95982023-11-30
6남양동사무소남양동사무소경상남도사천시관공서서경방송경상남도 사천시 임내안길 65경상남도 사천시청055-831-231634.970244128.0630892023-11-30
7남양동사무소남양동사무소경상남도사천시관공서서경방송경상남도 사천시 임내안길 65경상남도 사천시청055-831-231634.970325128.0630792023-11-30
8동서금동사무소동서금동사무소경상남도사천시관공서서경방송경상남도 사천시 동금로 27경상남도 사천시청055-831-231634.931084128.0785012023-11-30
9동서금동사무소동서금동사무소경상남도사천시관공서서경방송경상남도 사천시 동금로 27경상남도 사천시청055-831-231634.93108128.0785822023-11-30
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명소재지도로명주소관리기관명관리기관전화번호위도경도데이터기준일자
614청년공간2거북이집경상남도사천시문화시설서경방송경남 사천시 용강동 692-4경상남도 사천시청055-831-231634.945106128.0814382023-11-30
615청년공간1항공우주테마공원관리동경상남도사천시문화시설서경방송경남 사천시 정동면 예수리 403경상남도 사천시청055-831-231635.070117128.0831722023-11-30
616별주부전행사장1비토해양낚시공원 주차장경상남도사천시관광서경방송경상남도 사천시 서포면 비토리 45-10경상남도 사천시청055-831-231634.967166127.9715922023-11-30
617별주부전행사장2비토해양낚시공원 주차장경상남도사천시관광서경방송경상남도 사천시 서포면 비토리 45-10경상남도 사천시청055-831-231634.96685127.9723192023-11-30
618선진리성 광장선진리성 광장경상남도사천시관광서경방송경상남도 사천시 용현면 선진리 746경상남도 사천시청055-831-231635.044072128.0427942023-11-30
619시청 대강당시청 대강당경상남도사천시관공서서경방송경상남도 사천시 용현면 덕곡리 501경상남도 사천시청055-831-231635.00348128.0641712023-11-30
620우주항공테마공원1우주항공테마공원1경상남도사천시공원서경방송경상남도 사천시 정동면 예수리 420경상남도 사천시청055-831-231635.068625128.0855742023-11-30
621우주항공테마공원2우주항공테마공원2경상남도사천시공원서경방송경상남도 사천시 정동면 예수리 420경상남도 사천시청055-831-231635.070003128.0864362023-11-30
622우주항공테마공원3우주항공테마공원3경상남도사천시공원서경방송경상남도 사천시 정동면 예수리 420경상남도 사천시청055-831-231635.069394128.087252023-11-30
623우주항공테마공원4우주항공테마공원4경상남도사천시공원서경방송경상남도 사천시 정동면 예수리 420경상남도 사천시청055-831-231635.068748128.0869182023-11-30

Duplicate rows

Most frequently occurring

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명소재지도로명주소관리기관명관리기관전화번호위도경도데이터기준일자# duplicates
0바다케이블카바다케이블카경상남도사천시관광서경방송경상남도 사천시 사천대로 18경상남도 사천시청055-831-231634.933698128.053142023-11-302