Overview

Dataset statistics

Number of variables12
Number of observations29
Missing cells17
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory105.6 B

Variable types

Numeric5
Text6
Categorical1

Dataset

Description경상남도 의령군 이재민임시주거시설의 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15038407

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 연번High correlation
수용가능면적 is highly overall correlated with 최대수용인원수High correlation
최대수용인원수 is highly overall correlated with 수용가능면적High correlation
수용시설 전화번호 has 17 (58.6%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
수용가능면적 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:48:40.482461
Analysis finished2023-12-10 23:48:43.897448
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T08:48:43.972859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-11T08:48:44.109248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

시설명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T08:48:44.320937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.6206897
Min length3

Characters and Unicode

Total characters192
Distinct characters62
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

Unique29 ?
Unique (%)100.0%

Sample

1st row의령군종합사회복지관 및 국민체육센터
2nd row정암복지회관
3rd row남산초등학교
4th row가례마을회관
5th row가례초등학교
ValueCountFrequency (%)
의령군종합사회복지관 1
 
3.2%
성당회관 1
 
3.2%
유곡초등학교 1
 
3.2%
유곡면사무소 1
 
3.2%
궁류초등학교 1
 
3.2%
궁류면사무소 1
 
3.2%
부림초등학교봉수분교 1
 
3.2%
죽전회관 1
 
3.2%
봉수면사무소 1
 
3.2%
부림초등학교 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T08:48:44.704933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.3%
초 13
 
6.8%
등 13
 
6.8%
학 13
 
6.8%
정 9
 
4.7%
관 9
 
4.7%
지 9
 
4.7%
회 8
 
4.2%
복 6
 
3.1%
사 6
 
3.1%
Other values (52) 92
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14
 
7.4%
초 13
 
6.8%
등 13
 
6.8%
학 13
 
6.8%
정 9
 
4.7%
관 9
 
4.7%
지 9
 
4.7%
회 8
 
4.2%
복 6
 
3.2%
사 6
 
3.2%
Other values (51) 90
47.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14
 
7.4%
초 13
 
6.8%
등 13
 
6.8%
학 13
 
6.8%
정 9
 
4.7%
관 9
 
4.7%
지 9
 
4.7%
회 8
 
4.2%
복 6
 
3.2%
사 6
 
3.2%
Other values (51) 90
47.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14
 
7.4%
초 13
 
6.8%
등 13
 
6.8%
학 13
 
6.8%
정 9
 
4.7%
관 9
 
4.7%
지 9
 
4.7%
회 8
 
4.2%
복 6
 
3.2%
사 6
 
3.2%
Other values (51) 90
47.4%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T08:48:44.970248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.413793
Min length15

Characters and Unicode

Total characters592
Distinct characters57
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

Unique29 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 의령읍 의병로8길 44
2nd row경상남도 의령군 의령읍 남강로7길 7
3rd row경상남도 의령군 의령읍 남산로 37
4th row경상남도 의령군 가례면 의병로 40
5th row경상남도 의령군 가례면 가례로 128
ValueCountFrequency (%)
경상남도 29
20.1%
의령군 29
20.1%
대한로 4
 
2.8%
지정면 4
 
2.8%
부림면 4
 
2.8%
봉수면 3
 
2.1%
의령읍 3
 
2.1%
마장로 2
 
1.4%
정곡면 2
 
1.4%
유곡면 2
 
1.4%
Other values (58) 62
43.1%
2023-12-11T08:48:45.393352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
19.4%
의 39
 
6.6%
령 32
 
5.4%
남 31
 
5.2%
경 29
 
4.9%
상 29
 
4.9%
도 29
 
4.9%
군 29
 
4.9%
로 27
 
4.6%
면 25
 
4.2%
Other values (47) 207
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
64.5%
Space Separator 115
 
19.4%
Decimal Number 89
 
15.0%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 39
 
10.2%
령 32
 
8.4%
남 31
 
8.1%
경 29
 
7.6%
상 29
 
7.6%
도 29
 
7.6%
군 29
 
7.6%
로 27
 
7.1%
면 25
 
6.5%
정 10
 
2.6%
Other values (35) 102
26.7%
Decimal Number
ValueCountFrequency (%)
1 24
27.0%
7 10
11.2%
2 9
 
10.1%
8 8
 
9.0%
3 8
 
9.0%
6 7
 
7.9%
4 7
 
7.9%
0 6
 
6.7%
5 5
 
5.6%
9 5
 
5.6%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
64.5%
Common 210
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 39
 
10.2%
령 32
 
8.4%
남 31
 
8.1%
경 29
 
7.6%
상 29
 
7.6%
도 29
 
7.6%
군 29
 
7.6%
로 27
 
7.1%
면 25
 
6.5%
정 10
 
2.6%
Other values (35) 102
26.7%
Common
ValueCountFrequency (%)
115
54.8%
1 24
 
11.4%
7 10
 
4.8%
2 9
 
4.3%
8 8
 
3.8%
3 8
 
3.8%
6 7
 
3.3%
4 7
 
3.3%
- 6
 
2.9%
0 6
 
2.9%
Other values (2) 10
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
64.5%
ASCII 210
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
54.8%
1 24
 
11.4%
7 10
 
4.8%
2 9
 
4.3%
8 8
 
3.8%
3 8
 
3.8%
6 7
 
3.3%
4 7
 
3.3%
- 6
 
2.9%
0 6
 
2.9%
Other values (2) 10
 
4.8%
Hangul
ValueCountFrequency (%)
의 39
 
10.2%
령 32
 
8.4%
남 31
 
8.1%
경 29
 
7.6%
상 29
 
7.6%
도 29
 
7.6%
군 29
 
7.6%
로 27
 
7.1%
면 25
 
6.5%
정 10
 
2.6%
Other values (35) 102
26.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.392967
Minimum35.276251
Maximum35.481695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T08:48:45.535384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.276251
5-th percentile35.314849
Q135.33311
median35.382101
Q335.465718
95-th percentile35.476334
Maximum35.481695
Range0.20544447
Interquartile range (IQR)0.13260798

Descriptive statistics

Standard deviation0.064283838
Coefficient of variation (CV)0.0018162885
Kurtosis-1.4540499
Mean35.392967
Median Absolute Deviation (MAD)0.06093981
Skewness-0.0026977597
Sum1026.396
Variance0.0041324118
MonotonicityNot monotonic
2023-12-11T08:48:45.671477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35.31519145 1
 
3.4%
35.31462042 1
 
3.4%
35.317989 1
 
3.4%
35.43345566 1
 
3.4%
35.43319394 1
 
3.4%
35.44773194 1
 
3.4%
35.44732656 1
 
3.4%
35.47906851 1
 
3.4%
35.47094237 1
 
3.4%
35.47223113 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35.27625076 1
3.4%
35.31462042 1
3.4%
35.31519145 1
3.4%
35.317989 1
3.4%
35.32116098 1
3.4%
35.32361082 1
3.4%
35.32454633 1
3.4%
35.33310994 1
3.4%
35.3407876 1
3.4%
35.34855842 1
3.4%
ValueCountFrequency (%)
35.48169523 1
3.4%
35.47906851 1
3.4%
35.47223113 1
3.4%
35.47094237 1
3.4%
35.4701822 1
3.4%
35.46954392 1
3.4%
35.46637079 1
3.4%
35.46571792 1
3.4%
35.44773194 1
3.4%
35.44732656 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.29293
Minimum128.10847
Maximum128.41496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T08:48:45.778511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.10847
5-th percentile128.20185
Q1128.24899
median128.29475
Q3128.32463
95-th percentile128.38867
Maximum128.41496
Range0.3064893
Interquartile range (IQR)0.0756437

Descriptive statistics

Standard deviation0.06650807
Coefficient of variation (CV)0.0005184079
Kurtosis0.89000175
Mean128.29293
Median Absolute Deviation (MAD)0.0323826
Skewness-0.39200914
Sum3720.495
Variance0.0044233233
MonotonicityNot monotonic
2023-12-11T08:48:45.905291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
128.255723 1
 
3.4%
128.2947466 1
 
3.4%
128.262364 1
 
3.4%
128.3134427 1
 
3.4%
128.3136837 1
 
3.4%
128.2460487 1
 
3.4%
128.2489851 1
 
3.4%
128.2401368 1
 
3.4%
128.2699808 1
 
3.4%
128.2664533 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
128.1084741 1
3.4%
128.1954944 1
3.4%
128.2113782 1
3.4%
128.2401368 1
3.4%
128.2421784 1
3.4%
128.2460487 1
3.4%
128.2468238 1
3.4%
128.2489851 1
3.4%
128.255723 1
3.4%
128.262364 1
3.4%
ValueCountFrequency (%)
128.4149634 1
3.4%
128.3887974 1
3.4%
128.3884795 1
3.4%
128.3876297 1
3.4%
128.3859438 1
3.4%
128.3262756 1
3.4%
128.3247054 1
3.4%
128.3246288 1
3.4%
128.3245357 1
3.4%
128.3219709 1
3.4%

수용가능면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1259.4952
Minimum99
Maximum7300.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T08:48:46.048158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile137.2
Q1279
median756
Q31404
95-th percentile4014
Maximum7300.32
Range7201.32
Interquartile range (IQR)1125

Descriptive statistics

Standard deviation1541.593
Coefficient of variation (CV)1.2239769
Kurtosis8.9912408
Mean1259.4952
Median Absolute Deviation (MAD)554
Skewness2.830753
Sum36525.36
Variance2376509
MonotonicityNot monotonic
2023-12-11T08:48:46.195070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7300.32 1
 
3.4%
132.0 1
 
3.4%
694.0 1
 
3.4%
1494.0 1
 
3.4%
248.0 1
 
3.4%
1312.0 1
 
3.4%
600.0 1
 
3.4%
712.0 1
 
3.4%
202.0 1
 
3.4%
235.0 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
99.0 1
3.4%
132.0 1
3.4%
145.0 1
3.4%
198.9 1
3.4%
202.0 1
3.4%
235.0 1
3.4%
248.0 1
3.4%
279.0 1
3.4%
470.84 1
3.4%
600.0 1
3.4%
ValueCountFrequency (%)
7300.32 1
3.4%
5150.0 1
3.4%
2310.0 1
3.4%
2233.0 1
3.4%
1920.0 1
3.4%
1835.0 1
3.4%
1494.0 1
3.4%
1404.0 1
3.4%
1319.0 1
3.4%
1312.0 1
3.4%

최대수용인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.2069
Minimum30
Maximum2212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T08:48:46.316949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile44
Q170
median190
Q3425
95-th percentile1206.4
Maximum2212
Range2182
Interquartile range (IQR)355

Descriptive statistics

Standard deviation475.25853
Coefficient of variation (CV)1.3230774
Kurtosis8.7722483
Mean359.2069
Median Absolute Deviation (MAD)135
Skewness2.8109214
Sum10417
Variance225870.67
MonotonicityNot monotonic
2023-12-11T08:48:46.423530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
50 2
 
6.9%
210 2
 
6.9%
2212 1
 
3.4%
40 1
 
3.4%
69 1
 
3.4%
570 1
 
3.4%
397 1
 
3.4%
181 1
 
3.4%
160 1
 
3.4%
61 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
30 1
3.4%
40 1
3.4%
50 2
6.9%
55 1
3.4%
61 1
3.4%
69 1
3.4%
70 1
3.4%
84 1
3.4%
131 1
3.4%
150 1
3.4%
ValueCountFrequency (%)
2212 1
3.4%
1560 1
3.4%
676 1
3.4%
640 1
3.4%
581 1
3.4%
570 1
3.4%
556 1
3.4%
425 1
3.4%
399 1
3.4%
397 1
3.4%

수용시설 대표 전화번호
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T08:48:46.612284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters349
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row055-570-2851
2nd row070-4184-2702
3rd row055-572-0381
4th row055-570-4420
5th row055-570-0383
ValueCountFrequency (%)
055-570-4800 2
 
6.9%
055-570-4270 2
 
6.9%
055-572-7090 1
 
3.4%
055-570-2851 1
 
3.4%
055-572-5411 1
 
3.4%
055-573-8630 1
 
3.4%
055-570-4882 1
 
3.4%
055-572-8027 1
 
3.4%
055-570-4820 1
 
3.4%
055-572-3305 1
 
3.4%
Other values (17) 17
58.6%
2023-12-11T08:48:46.914474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 96
27.5%
0 66
18.9%
- 58
16.6%
7 38
 
10.9%
2 25
 
7.2%
4 21
 
6.0%
3 15
 
4.3%
8 14
 
4.0%
1 8
 
2.3%
9 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 96
33.0%
0 66
22.7%
7 38
 
13.1%
2 25
 
8.6%
4 21
 
7.2%
3 15
 
5.2%
8 14
 
4.8%
1 8
 
2.7%
9 4
 
1.4%
6 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 96
27.5%
0 66
18.9%
- 58
16.6%
7 38
 
10.9%
2 25
 
7.2%
4 21
 
6.0%
3 15
 
4.3%
8 14
 
4.0%
1 8
 
2.3%
9 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 96
27.5%
0 66
18.9%
- 58
16.6%
7 38
 
10.9%
2 25
 
7.2%
4 21
 
6.0%
3 15
 
4.3%
8 14
 
4.0%
1 8
 
2.3%
9 4
 
1.1%

수용시설 전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing17
Missing (%)58.6%
Memory size364.0 B
2023-12-11T08:48:47.104164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters144
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row055-573-2718
2nd row055-572-3816
3rd row055-572-4068
4th row055-570-4006
5th row055-570-4260
ValueCountFrequency (%)
055-573-2718 1
8.3%
055-572-3816 1
8.3%
055-572-4068 1
8.3%
055-570-4006 1
8.3%
055-570-4260 1
8.3%
055-572-7007 1
8.3%
055-570-4290 1
8.3%
055-570-6405 1
8.3%
055-570-4300 1
8.3%
055-572-3048 1
8.3%
Other values (2) 2
16.7%
2023-12-11T08:48:47.361722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 37
25.7%
0 30
20.8%
- 24
16.7%
7 17
11.8%
2 10
 
6.9%
4 8
 
5.6%
3 6
 
4.2%
6 5
 
3.5%
8 4
 
2.8%
1 2
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
83.3%
Dash Punctuation 24
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 37
30.8%
0 30
25.0%
7 17
14.2%
2 10
 
8.3%
4 8
 
6.7%
3 6
 
5.0%
6 5
 
4.2%
8 4
 
3.3%
1 2
 
1.7%
9 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 37
25.7%
0 30
20.8%
- 24
16.7%
7 17
11.8%
2 10
 
6.9%
4 8
 
5.6%
3 6
 
4.2%
6 5
 
3.5%
8 4
 
2.8%
1 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 37
25.7%
0 30
20.8%
- 24
16.7%
7 17
11.8%
2 10
 
6.9%
4 8
 
5.6%
3 6
 
4.2%
6 5
 
3.5%
8 4
 
2.8%
1 2
 
1.4%

관리기관명
Text

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T08:48:47.549984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.862069
Min length6

Characters and Unicode

Total characters199
Distinct characters47
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

Unique22 ?
Unique (%)75.9%

Sample

1st row의령군청 시설관리사업소
2nd row의령읍행정복지센터
3rd row남산초등학교
4th row가례면사무소
5th row가례초등학교
ValueCountFrequency (%)
지정면사무소 3
 
10.0%
봉수면사무소 2
 
6.7%
부림면행정복지센터 2
 
6.7%
시설관리사업소 1
 
3.3%
지정초등학교 1
 
3.3%
유곡초등학교 1
 
3.3%
유곡면사무소 1
 
3.3%
궁류초등학교 1
 
3.3%
궁류면사무소 1
 
3.3%
부림초등학교봉수분교 1
 
3.3%
Other values (16) 16
53.3%
2023-12-11T08:48:47.821169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.0%
초 13
 
6.5%
학 13
 
6.5%
등 13
 
6.5%
면 12
 
6.0%
소 12
 
6.0%
사 11
 
5.5%
정 11
 
5.5%
무 10
 
5.0%
지 8
 
4.0%
Other values (37) 82
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14
 
7.1%
초 13
 
6.6%
학 13
 
6.6%
등 13
 
6.6%
면 12
 
6.1%
소 12
 
6.1%
사 11
 
5.6%
정 11
 
5.6%
무 10
 
5.1%
지 8
 
4.0%
Other values (36) 81
40.9%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14
 
7.1%
초 13
 
6.6%
학 13
 
6.6%
등 13
 
6.6%
면 12
 
6.1%
소 12
 
6.1%
사 11
 
5.6%
정 11
 
5.6%
무 10
 
5.1%
지 8
 
4.0%
Other values (36) 81
40.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14
 
7.1%
초 13
 
6.6%
학 13
 
6.6%
등 13
 
6.6%
면 12
 
6.1%
소 12
 
6.1%
사 11
 
5.6%
정 11
 
5.6%
무 10
 
5.1%
지 8
 
4.0%
Other values (36) 81
40.9%
ASCII
ValueCountFrequency (%)
1
100.0%

관리기관전화번호
Text

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T08:48:47.983738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)75.9%

Sample

1st row055-570-2851
2nd row055-570-4340
3rd row055-572-0381
4th row055-570-4420
5th row055-570-0383
ValueCountFrequency (%)
055-570-4270 3
 
10.3%
055-570-4800 2
 
6.9%
055-570-4290 2
 
6.9%
055-570-4340 1
 
3.4%
055-572-5411 1
 
3.4%
055-573-8630 1
 
3.4%
055-570-4882 1
 
3.4%
055-572-8027 1
 
3.4%
055-570-4820 1
 
3.4%
055-572-3305 1
 
3.4%
Other values (15) 15
51.7%
2023-12-11T08:48:48.278394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 98
28.2%
0 72
20.7%
- 58
16.7%
7 34
 
9.8%
4 24
 
6.9%
2 23
 
6.6%
8 12
 
3.4%
3 12
 
3.4%
1 7
 
2.0%
9 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 98
33.8%
0 72
24.8%
7 34
 
11.7%
4 24
 
8.3%
2 23
 
7.9%
8 12
 
4.1%
3 12
 
4.1%
1 7
 
2.4%
9 4
 
1.4%
6 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 98
28.2%
0 72
20.7%
- 58
16.7%
7 34
 
9.8%
4 24
 
6.9%
2 23
 
6.6%
8 12
 
3.4%
3 12
 
3.4%
1 7
 
2.0%
9 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 98
28.2%
0 72
20.7%
- 58
16.7%
7 34
 
9.8%
4 24
 
6.9%
2 23
 
6.6%
8 12
 
3.4%
3 12
 
3.4%
1 7
 
2.0%
9 4
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2022-11-24
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-24
2nd row2022-11-24
3rd row2022-11-24
4th row2022-11-24
5th row2022-11-24

Common Values

ValueCountFrequency (%)
2022-11-24 29
100.0%

Length

2023-12-11T08:48:48.413197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:48:48.505928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-24 29
100.0%

Interactions

2023-12-11T08:48:43.059915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:40.883975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.351075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.796173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.321029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:43.147349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:40.975718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.434660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.907891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.427828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:43.220752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.054349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.519771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.002829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.512723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:43.349257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.155473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.622700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.115757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.879028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:43.487828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.276653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:41.709412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.228062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:42.971119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:48:48.562940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호
연번1.0001.0001.0000.8010.7910.0000.0001.0001.0000.9690.969
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.8011.0001.0001.0000.7450.0000.1631.0001.0000.9620.962
경도0.7911.0001.0000.7451.0000.0000.0001.0001.0001.0001.000
수용가능면적0.0001.0001.0000.0000.0001.0000.9270.9821.0000.9830.983
최대수용인원수0.0001.0001.0000.1630.0000.9271.0000.9401.0000.9840.984
수용시설 대표 전화번호1.0001.0001.0001.0001.0000.9820.9401.0001.0001.0001.000
수용시설 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관리기관명0.9691.0001.0000.9621.0000.9830.9841.0001.0001.0001.000
관리기관전화번호0.9691.0001.0000.9621.0000.9830.9841.0001.0001.0001.000
2023-12-11T08:48:48.676481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도수용가능면적최대수용인원수
연번1.0000.6920.176-0.218-0.228
위도0.6921.0000.327-0.162-0.086
경도0.1760.3271.000-0.168-0.137
수용가능면적-0.218-0.162-0.1681.0000.963
최대수용인원수-0.228-0.086-0.1370.9631.000

Missing values

2023-12-11T08:48:43.620901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:48:43.816170image/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

연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호데이터기준일자
01의령군종합사회복지관 및 국민체육센터경상남도 의령군 의령읍 의병로8길 4435.315191128.2557237300.322212055-570-2851<NA>의령군청 시설관리사업소055-570-28512022-11-24
12정암복지회관경상남도 의령군 의령읍 남강로7길 735.31462128.294747132.040070-4184-2702<NA>의령읍행정복지센터055-570-43402022-11-24
23남산초등학교경상남도 의령군 의령읍 남산로 3735.321161128.2670265150.01560055-572-0381<NA>남산초등학교055-572-03812022-11-24
34가례마을회관경상남도 의령군 가례면 의병로 4035.323611128.242178470.84131055-570-4420<NA>가례면사무소055-570-44202022-11-24
45가례초등학교경상남도 의령군 가례면 가례로 12835.33311128.2468241920.0581055-570-0383055-573-2718가례초등학교055-570-03832022-11-24
56칠곡초등학교경상남도 의령군 칠곡면 칠곡로 5935.340788128.1954941404.0425055-572-3802055-572-3816칠곡초등학교055-572-38022022-11-24
67대의초등학교경상남도 의령군 대의면 대의로 31-635.371411128.1084741319.0399055-572-9015<NA>대의초등학교055-572-90152022-11-24
78화정초등학교경상남도 의령군 화정면 화정로 31435.276251128.2113781111.0200055-573-0554055-572-4068화정초등학교055-573-05542022-11-24
89신소회관경상남도 의령군 용덕면 용덕1길 11035.324546128.312914145.055055-573-3884<NA>용덕면사무소055-570-45802022-11-24
910용덕초등학교경상남도 의령군 용덕면 용암로 3935.348558128.290241279.084055-573-4005055-570-4006용덕초등학교055-573-40052022-11-24
연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호데이터기준일자
1920의령군청소년수련관경상남도 의령군 부림면 신번로11길 2635.470182128.3219712310.0640055-574-2212<NA>의령군청소년수련관055-574-22122022-11-24
2021부림초등학교경상남도 의령군 부림면 대한로 172135.465718128.320995745.0210055-574-6406055-570-6405부림초등학교055-574-64062022-11-24
2122봉수면사무소경상남도 의령군 봉수면 대한로 118835.472231128.266453235.050055-570-4800055-570-4300봉수면사무소055-570-48002022-11-24
2223죽전회관경상남도 의령군 봉수면 대한로 122335.470942128.269981202.061055-570-4800055-572-3048봉수면사무소055-570-48002022-11-24
2324부림초등학교봉수분교경상남도 의령군 봉수면 한지9길 635.479069128.240137712.0160055-572-3305<NA>부림초등학교봉수분교055-572-33052022-11-24
2425궁류면사무소경상남도 의령군 궁류면 궁류로 12435.447327128.248985600.0181055-570-4820<NA>궁류면사무소055-570-48202022-11-24
2526궁류초등학교경상남도 의령군 궁류면 궁류로5길 1435.447732128.2460491312.0397055-572-8027<NA>궁류초등학교055-572-80272022-11-24
2627유곡면사무소경상남도 의령군 유곡면 마장로 1035.433194128.313684248.050055-570-4882055-570-4320유곡면사무소055-570-48822022-11-24
2728유곡초등학교경상남도 의령군 유곡면 마장로 22-635.433456128.3134431494.0570055-573-8630<NA>유곡초등학교055-573-86302022-11-24
2829로얄장경상남도 의령군 충익로 1835.317989128.262364694.069055-573-7272055-573-7272의령읍사무소055-570-43422022-11-24