Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory79.3 B

Variable types

Text6
Numeric3

Dataset

Description경기도_교통약자 이동지원센터 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7ZQTZ0AWVI53H6RT40GT26237999&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
소재지지번주소 has 1 (3.2%) missing valuesMissing
시군명 has unique valuesUnique
기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
전화번호 has unique valuesUnique
홈페이지URL has unique valuesUnique

Reproduction

Analysis started2024-04-11 02:12:07.857078
Analysis finished2024-04-11 02:12:10.438742
Duration2.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-11T11:12:10.559265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2024-04-11T11:12:10.840097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-11T11:12:11.046576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length16.83871
Min length9

Characters and Unicode

Total characters522
Distinct characters75
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군교통약자이동지원센터
2nd row고양도시관리공사 고양시교통약자이동지원센터
3rd row과천시교통약자이동지원센터
4th row광명도시공사 광명희망카
5th row광주시교통약자이동지원센터
ValueCountFrequency (%)
교통약자이동지원센터 5
 
8.8%
이동지원센터 3
 
5.3%
교통약자 3
 
5.3%
가평군교통약자이동지원센터 1
 
1.8%
교통약자이동지원센터(착한수레 1
 
1.8%
양주도시공사 1
 
1.8%
양주 1
 
1.8%
동행콜 1
 
1.8%
양평군교통약자이동지원센터 1
 
1.8%
여주도시관리공단 1
 
1.8%
Other values (39) 39
68.4%
2024-04-11T11:12:11.378007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 39
 
7.5%
터 29
 
5.6%
동 29
 
5.6%
센 29
 
5.6%
이 27
 
5.2%
원 27
 
5.2%
지 26
 
5.0%
26
 
5.0%
교 25
 
4.8%
통 25
 
4.8%
Other values (65) 240
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
93.5%
Space Separator 26
 
5.0%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 39
 
8.0%
터 29
 
5.9%
동 29
 
5.9%
센 29
 
5.9%
이 27
 
5.5%
원 27
 
5.5%
지 26
 
5.3%
교 25
 
5.1%
통 25
 
5.1%
약 25
 
5.1%
Other values (62) 207
42.4%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
93.5%
Common 34
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 39
 
8.0%
터 29
 
5.9%
동 29
 
5.9%
센 29
 
5.9%
이 27
 
5.5%
원 27
 
5.5%
지 26
 
5.3%
교 25
 
5.1%
통 25
 
5.1%
약 25
 
5.1%
Other values (62) 207
42.4%
Common
ValueCountFrequency (%)
26
76.5%
( 4
 
11.8%
) 4
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
93.5%
ASCII 34
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 39
 
8.0%
터 29
 
5.9%
동 29
 
5.9%
센 29
 
5.9%
이 27
 
5.5%
원 27
 
5.5%
지 26
 
5.3%
교 25
 
5.1%
통 25
 
5.1%
약 25
 
5.1%
Other values (62) 207
42.4%
ASCII
ValueCountFrequency (%)
26
76.5%
( 4
 
11.8%
) 4
 
11.8%

소재지지번주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-04-11T11:12:11.583806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22.5
Mean length20.133333
Min length15

Characters and Unicode

Total characters604
Distinct characters97
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

Unique30 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 대곡리 318번지
2nd row경기도 고양시 일산동구 백석동 1233번지
3rd row경기도 과천시 중앙동 6-2번지
4th row경기도 광명시 하안동 314번지
5th row경기도 광주시 쌍령동 48-45번지
ValueCountFrequency (%)
경기도 30
 
22.2%
의왕시 1
 
0.7%
삼가동 1
 
0.7%
처인구 1
 
0.7%
용인시 1
 
0.7%
40번지 1
 
0.7%
오산동 1
 
0.7%
오산시 1
 
0.7%
568-2번지 1
 
0.7%
은대리 1
 
0.7%
Other values (96) 96
71.1%
2024-04-11T11:12:11.900949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
17.4%
도 32
 
5.3%
지 31
 
5.1%
번 30
 
5.0%
기 30
 
5.0%
경 30
 
5.0%
시 28
 
4.6%
동 25
 
4.1%
1 16
 
2.6%
4 14
 
2.3%
Other values (87) 263
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
62.9%
Space Separator 105
 
17.4%
Decimal Number 105
 
17.4%
Dash Punctuation 14
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 32
 
8.4%
지 31
 
8.2%
번 30
 
7.9%
기 30
 
7.9%
경 30
 
7.9%
시 28
 
7.4%
동 25
 
6.6%
리 10
 
2.6%
양 9
 
2.4%
구 8
 
2.1%
Other values (75) 147
38.7%
Decimal Number
ValueCountFrequency (%)
1 16
15.2%
4 14
13.3%
6 13
12.4%
3 11
10.5%
2 11
10.5%
0 9
8.6%
5 9
8.6%
8 9
8.6%
9 8
7.6%
7 5
 
4.8%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
62.9%
Common 224
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 32
 
8.4%
지 31
 
8.2%
번 30
 
7.9%
기 30
 
7.9%
경 30
 
7.9%
시 28
 
7.4%
동 25
 
6.6%
리 10
 
2.6%
양 9
 
2.4%
구 8
 
2.1%
Other values (75) 147
38.7%
Common
ValueCountFrequency (%)
105
46.9%
1 16
 
7.1%
4 14
 
6.2%
- 14
 
6.2%
6 13
 
5.8%
3 11
 
4.9%
2 11
 
4.9%
0 9
 
4.0%
5 9
 
4.0%
8 9
 
4.0%
Other values (2) 13
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
62.9%
ASCII 224
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
46.9%
1 16
 
7.1%
4 14
 
6.2%
- 14
 
6.2%
6 13
 
5.8%
3 11
 
4.9%
2 11
 
4.9%
0 9
 
4.0%
5 9
 
4.0%
8 9
 
4.0%
Other values (2) 13
 
5.8%
Hangul
ValueCountFrequency (%)
도 32
 
8.4%
지 31
 
8.2%
번 30
 
7.9%
기 30
 
7.9%
경 30
 
7.9%
시 28
 
7.4%
동 25
 
6.6%
리 10
 
2.6%
양 9
 
2.4%
구 8
 
2.1%
Other values (75) 147
38.7%

소재지도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-11T11:12:12.130318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.83871
Min length13

Characters and Unicode

Total characters553
Distinct characters113
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 문화로 153
2nd row경기도 고양시 일산동구 강송로 14
3rd row경기도 과천시 통영로 5
4th row경기도 광명시 범안로 966
5th row경기도 광주시 청석로 256
ValueCountFrequency (%)
경기도 31
 
22.3%
260 2
 
1.4%
11 2
 
1.4%
여주시 1
 
0.7%
용인시 1
 
0.7%
33 1
 
0.7%
경기동로 1
 
0.7%
오산시 1
 
0.7%
193 1
 
0.7%
전곡로 1
 
0.7%
Other values (97) 97
69.8%
2024-04-11T11:12:12.476985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
19.5%
경 32
 
5.8%
도 32
 
5.8%
기 32
 
5.8%
시 30
 
5.4%
로 29
 
5.2%
1 20
 
3.6%
3 13
 
2.4%
2 11
 
2.0%
6 10
 
1.8%
Other values (103) 236
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
63.8%
Space Separator 108
 
19.5%
Decimal Number 90
 
16.3%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
 
9.1%
도 32
 
9.1%
기 32
 
9.1%
시 30
 
8.5%
로 29
 
8.2%
구 8
 
2.3%
천 7
 
2.0%
동 7
 
2.0%
평 6
 
1.7%
양 6
 
1.7%
Other values (91) 164
46.5%
Decimal Number
ValueCountFrequency (%)
1 20
22.2%
3 13
14.4%
2 11
12.2%
6 10
11.1%
0 9
10.0%
9 8
 
8.9%
5 8
 
8.9%
4 6
 
6.7%
7 3
 
3.3%
8 2
 
2.2%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
63.8%
Common 200
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
 
9.1%
도 32
 
9.1%
기 32
 
9.1%
시 30
 
8.5%
로 29
 
8.2%
구 8
 
2.3%
천 7
 
2.0%
동 7
 
2.0%
평 6
 
1.7%
양 6
 
1.7%
Other values (91) 164
46.5%
Common
ValueCountFrequency (%)
108
54.0%
1 20
 
10.0%
3 13
 
6.5%
2 11
 
5.5%
6 10
 
5.0%
0 9
 
4.5%
9 8
 
4.0%
5 8
 
4.0%
4 6
 
3.0%
7 3
 
1.5%
Other values (2) 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
63.8%
ASCII 200
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
54.0%
1 20
 
10.0%
3 13
 
6.5%
2 11
 
5.5%
6 10
 
5.0%
0 9
 
4.5%
9 8
 
4.0%
5 8
 
4.0%
4 6
 
3.0%
7 3
 
1.5%
Other values (2) 4
 
2.0%
Hangul
ValueCountFrequency (%)
경 32
 
9.1%
도 32
 
9.1%
기 32
 
9.1%
시 30
 
8.5%
로 29
 
8.2%
구 8
 
2.3%
천 7
 
2.0%
동 7
 
2.0%
평 6
 
1.7%
양 6
 
1.7%
Other values (91) 164
46.5%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13888.871
Minimum10078
Maximum18588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-11T11:12:12.599547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10078
5-th percentile10694.5
Q111760.5
median13203
Q315958
95-th percentile17928
Maximum18588
Range8510
Interquartile range (IQR)4197.5

Descriptive statistics

Standard deviation2538.1486
Coefficient of variation (CV)0.18274694
Kurtosis-1.1320696
Mean13888.871
Median Absolute Deviation (MAD)1883
Skewness0.36964168
Sum430555
Variance6442198.4
MonotonicityNot monotonic
2024-04-11T11:12:12.708189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12416 1
 
3.2%
10443 1
 
3.2%
18588 1
 
3.2%
13023 1
 
3.2%
11151 1
 
3.2%
17725 1
 
3.2%
10946 1
 
3.2%
17376 1
 
3.2%
11606 1
 
3.2%
16107 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
10078 1
3.2%
10443 1
3.2%
10946 1
3.2%
11028 1
3.2%
11151 1
3.2%
11320 1
3.2%
11502 1
3.2%
11606 1
3.2%
11915 1
3.2%
12138 1
3.2%
ValueCountFrequency (%)
18588 1
3.2%
18131 1
3.2%
17725 1
3.2%
17508 1
3.2%
17376 1
3.2%
16997 1
3.2%
16661 1
3.2%
16107 1
3.2%
15809 1
3.2%
15396 1
3.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.485269
Minimum37.012216
Maximum38.029032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-11T11:12:12.816392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.012216
5-th percentile37.088177
Q137.299857
median37.444249
Q337.654362
95-th percentile37.898351
Maximum38.029032
Range1.016816
Interquartile range (IQR)0.35450497

Descriptive statistics

Standard deviation0.2638765
Coefficient of variation (CV)0.007039472
Kurtosis-0.6670747
Mean37.485269
Median Absolute Deviation (MAD)0.19462536
Skewness0.21638742
Sum1162.0433
Variance0.069630808
MonotonicityNot monotonic
2024-04-11T11:12:12.935265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.82639257 1
 
3.2%
37.64546187 1
 
3.2%
37.13786295 1
 
3.2%
37.53898563 1
 
3.2%
37.89589066 1
 
3.2%
37.03849053 1
 
3.2%
37.79612752 1
 
3.2%
37.27384911 1
 
3.2%
37.75756895 1
 
3.2%
37.30237491 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
37.012216 1
3.2%
37.03849053 1
3.2%
37.13786295 1
3.2%
37.15873581 1
3.2%
37.23740924 1
3.2%
37.24962344 1
3.2%
37.27384911 1
3.2%
37.29733898 1
3.2%
37.30237491 1
3.2%
37.31949232 1
3.2%
ValueCountFrequency (%)
38.02903197 1
3.2%
37.90081091 1
3.2%
37.89589066 1
3.2%
37.82639257 1
3.2%
37.81300318 1
3.2%
37.79612752 1
3.2%
37.75756895 1
3.2%
37.65540533 1
3.2%
37.6533185 1
3.2%
37.64546187 1
3.2%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07691
Minimum126.68429
Maximum127.63597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-11T11:12:13.038649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68429
5-th percentile126.77644
Q1126.93363
median127.0661
Q3127.19492
95-th percentile127.49713
Maximum127.63597
Range0.951682
Interquartile range (IQR)0.2612935

Descriptive statistics

Standard deviation0.23522304
Coefficient of variation (CV)0.0018510289
Kurtosis-0.097446901
Mean127.07691
Median Absolute Deviation (MAD)0.1436926
Skewness0.56192265
Sum3939.3842
Variance0.055329876
MonotonicityNot monotonic
2024-04-11T11:12:13.141803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.5078635 1
 
3.2%
126.7948256 1
 
3.2%
126.9224111 1
 
3.2%
127.2298317 1
 
3.2%
127.2105496 1
 
3.2%
127.1006362 1
 
3.2%
126.7901973 1
 
3.2%
127.4338063 1
 
3.2%
127.0290955 1
 
3.2%
126.9579797 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.6842906 1
3.2%
126.7626852 1
3.2%
126.7901973 1
3.2%
126.7948256 1
3.2%
126.8069409 1
3.2%
126.8177168 1
3.2%
126.8725095 1
3.2%
126.9224111 1
3.2%
126.9448389 1
3.2%
126.9467029 1
3.2%
ValueCountFrequency (%)
127.6359726 1
3.2%
127.5078635 1
3.2%
127.4863965 1
3.2%
127.4338063 1
3.2%
127.3279763 1
3.2%
127.2653231 1
3.2%
127.2298317 1
3.2%
127.2105496 1
3.2%
127.1792874 1
3.2%
127.1787862 1
3.2%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-11T11:12:13.321992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.83871
Min length9

Characters and Unicode

Total characters336
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

Unique31 ?
Unique (%)100.0%

Sample

1st row031-8078-8122
2nd row1577-5909
3rd row02-580-8400
4th row02-2610-2000
5th row1666-6636
ValueCountFrequency (%)
031-8078-8122 1
 
3.2%
031-389-5200 1
 
3.2%
1577-0197 1
 
3.2%
031-536-2000 1
 
3.2%
031-651-4700 1
 
3.2%
080-699-6199 1
 
3.2%
1899-0017 1
 
3.2%
031-826-2515 1
 
3.2%
031-462-8253 1
 
3.2%
031-526-7755 1
 
3.2%
Other values (21) 21
67.7%
2024-04-11T11:12:13.622620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
15.2%
- 50
14.9%
1 42
12.5%
5 33
9.8%
6 30
8.9%
8 27
8.0%
2 26
7.7%
3 25
7.4%
7 22
6.5%
9 22
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 286
85.1%
Dash Punctuation 50
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
17.8%
1 42
14.7%
5 33
11.5%
6 30
10.5%
8 27
9.4%
2 26
9.1%
3 25
8.7%
7 22
7.7%
9 22
7.7%
4 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
15.2%
- 50
14.9%
1 42
12.5%
5 33
9.8%
6 30
8.9%
8 27
8.0%
2 26
7.7%
3 25
7.4%
7 22
6.5%
9 22
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
15.2%
- 50
14.9%
1 42
12.5%
5 33
9.8%
6 30
8.9%
8 27
8.0%
2 26
7.7%
3 25
7.4%
7 22
6.5%
9 22
6.5%

홈페이지URL
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-11T11:12:13.828037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length45
Mean length39.806452
Min length13

Characters and Unicode

Total characters1234
Distinct characters63
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st rowhttps://www.gpfmc.or.kr/sub2/sub2_4-1.php
2nd rowhttp://calltaxi.gys.or.kr
3rd rowhttps://www.gcuc.or.kr/fmcs/942
4th rowhttps://www.gmuc.co.kr/user/conn/hopeCarIntro.do?pmn=25000&cmn=20000&mn=1
5th rowwww.gjhpcall.or.kr
ValueCountFrequency (%)
https://www.gpfmc.or.kr/sub2/sub2_4-1.php 1
 
3.2%
https://www.auc.or.kr/aycall/main/view 1
 
3.2%
www.hanamcall.or.kr 1
 
3.2%
https://www.pcuc.kr/open_content/facilities/happycall/facilitiesguide.jsp 1
 
3.2%
https://www.puc.or.kr/business/trust.do 1
 
3.2%
https://pajuutc.or.kr/ouz/fclty/traffic/guide/guide/contents.do 1
 
3.2%
https://www.2000happydream.or.kr/main/main.do?mnr=main 1
 
3.2%
https://www.siseol.or.kr/happycall 1
 
3.2%
https://www.uuc.or.kr/base/contents/view?contentsno=26&menulevel=3&menuno=45#cnt5 1
 
3.2%
https://www.yonginnuri.or.kr/cmm/main/mainpage.do 1
 
3.2%
Other values (21) 21
67.7%
2024-04-11T11:12:14.161693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 107
 
8.7%
. 104
 
8.4%
w 87
 
7.1%
t 81
 
6.6%
r 71
 
5.8%
o 60
 
4.9%
p 56
 
4.5%
s 55
 
4.5%
a 54
 
4.4%
c 51
 
4.1%
Other values (53) 508
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 904
73.3%
Other Punctuation 249
 
20.2%
Decimal Number 44
 
3.6%
Other Letter 13
 
1.1%
Math Symbol 10
 
0.8%
Uppercase Letter 8
 
0.6%
Connector Punctuation 5
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 87
 
9.6%
t 81
 
9.0%
r 71
 
7.9%
o 60
 
6.6%
p 56
 
6.2%
s 55
 
6.1%
a 54
 
6.0%
c 51
 
5.6%
n 48
 
5.3%
e 45
 
5.0%
Other values (15) 296
32.7%
Other Letter
ValueCountFrequency (%)
지 1
 
7.7%
터 1
 
7.7%
센 1
 
7.7%
원 1
 
7.7%
동 1
 
7.7%
이 1
 
7.7%
자 1
 
7.7%
약 1
 
7.7%
통 1
 
7.7%
교 1
 
7.7%
Other values (3) 3
23.1%
Decimal Number
ValueCountFrequency (%)
0 14
31.8%
2 10
22.7%
3 4
 
9.1%
5 4
 
9.1%
4 4
 
9.1%
1 3
 
6.8%
8 2
 
4.5%
6 1
 
2.3%
7 1
 
2.3%
9 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 107
43.0%
. 104
41.8%
: 27
 
10.8%
? 5
 
2.0%
& 5
 
2.0%
# 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
25.0%
N 2
25.0%
S 1
12.5%
L 1
12.5%
I 1
12.5%
C 1
12.5%
Math Symbol
ValueCountFrequency (%)
= 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 912
73.9%
Common 309
 
25.0%
Hangul 13
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 87
 
9.5%
t 81
 
8.9%
r 71
 
7.8%
o 60
 
6.6%
p 56
 
6.1%
s 55
 
6.0%
a 54
 
5.9%
c 51
 
5.6%
n 48
 
5.3%
e 45
 
4.9%
Other values (21) 304
33.3%
Common
ValueCountFrequency (%)
/ 107
34.6%
. 104
33.7%
: 27
 
8.7%
0 14
 
4.5%
2 10
 
3.2%
= 10
 
3.2%
? 5
 
1.6%
_ 5
 
1.6%
& 5
 
1.6%
3 4
 
1.3%
Other values (9) 18
 
5.8%
Hangul
ValueCountFrequency (%)
지 1
 
7.7%
터 1
 
7.7%
센 1
 
7.7%
원 1
 
7.7%
동 1
 
7.7%
이 1
 
7.7%
자 1
 
7.7%
약 1
 
7.7%
통 1
 
7.7%
교 1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1221
98.9%
Hangul 13
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 107
 
8.8%
. 104
 
8.5%
w 87
 
7.1%
t 81
 
6.6%
r 71
 
5.8%
o 60
 
4.9%
p 56
 
4.6%
s 55
 
4.5%
a 54
 
4.4%
c 51
 
4.2%
Other values (40) 495
40.5%
Hangul
ValueCountFrequency (%)
지 1
 
7.7%
터 1
 
7.7%
센 1
 
7.7%
원 1
 
7.7%
동 1
 
7.7%
이 1
 
7.7%
자 1
 
7.7%
약 1
 
7.7%
통 1
 
7.7%
교 1
 
7.7%
Other values (3) 3
23.1%

Interactions

2024-04-11T11:12:10.027575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.570026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.813745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:10.096554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.675565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.887210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:10.172884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.744152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:12:09.962444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:12:14.251144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
시군명1.0001.0001.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0001.0001.0000.8810.0001.0001.000
WGS84위도1.0001.0001.0001.0000.8811.0000.0001.0001.000
WGS84경도1.0001.0001.0001.0000.0000.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-11T11:12:14.386202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도
소재지우편번호1.000-0.9030.074
WGS84위도-0.9031.000-0.077
WGS84경도0.074-0.0771.000

Missing values

2024-04-11T11:12:10.269253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:12:10.388230image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0가평군가평군교통약자이동지원센터경기도 가평군 가평읍 대곡리 318번지경기도 가평군 가평읍 문화로 1531241637.826393127.507863031-8078-8122https://www.gpfmc.or.kr/sub2/sub2_4-1.php
1고양시고양도시관리공사 고양시교통약자이동지원센터경기도 고양시 일산동구 백석동 1233번지경기도 고양시 일산동구 강송로 141044337.645462126.7948261577-5909http://calltaxi.gys.or.kr
2과천시과천시교통약자이동지원센터경기도 과천시 중앙동 6-2번지경기도 과천시 통영로 51380737.428202126.98914902-580-8400https://www.gcuc.or.kr/fmcs/942
3광명시광명도시공사 광명희망카경기도 광명시 하안동 314번지경기도 광명시 범안로 9661430337.457132126.8725102-2610-2000https://www.gmuc.co.kr/user/conn/hopeCarIntro.do?pmn=25000&cmn=20000&mn=1
4광주시광주시교통약자이동지원센터경기도 광주시 쌍령동 48-45번지경기도 광주시 청석로 2561279137.409978127.2653231666-6636www.gjhpcall.or.kr
5구리시구리도시공사 구리시교통약자이동지원센터경기도 구리시 인창동 430번지경기도 구리시 동구릉로136번길 571191537.613351127.1406141577-3659http://www.gurihappycall.or.kr/
6군포시군포시시설관리공단 군포시교통약자이동지원센터경기도 군포시 금정동 689-59번지경기도 군포시 공단로 3041580937.371303126.9448391899-4428https://bokjicall.gunpouc.or.kr/
7김포시김포도시공사 김포시교통약자이동지원센터경기도 김포시 운양동 1307-2번지경기도 김포시 김포한강1로 2421007837.653318126.6842911899-2008www.guc.or.kr
8남양주시남양주시교통약자이동지원센터경기도 남양주시 진건읍 용정리 794-47번지경기도 남양주시 진건읍 진건오남로 501213837.655405127.1792871666-5525http://dreamcall.nyj.go.kr
9동두천시동두천시 교통약자이동지원센터경기도 동두천시 생연동 70번지경기도 동두천시 어등로 451132037.900811127.070544031-862-1091https://www.ddc.go.kr/ddc/contents.do?key=247
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
21오산시오산시시설관리공단 교통약자이동지원센터경기도 오산시 오산동 40번지경기도 오산시 경기동로 331813137.158736127.075689031-378-7816http://www.osansisul.or.kr/welfare/welfare03_3.asp
22용인시용인시교통약자이동지원센터경기도 용인시 처인구 삼가동 28-6번지경기도 용인시 처인구 동백죽전대로 611699737.249623127.165161031-526-7755https://www.yonginnuri.or.kr/cmm/main/mainPage.do
23의왕시의왕시교통약자이동지원센터경기도 의왕시 월암동 602-2번지경기도 의왕시 왕소나무길 29-151610737.302375126.95798031-462-8253https://www.uuc.or.kr/base/contents/view?contentsNo=26&menuLevel=3&menuNo=45#cnt5
24의정부시의정부시시설관리공단 이동지원센터 행복콜센터경기도 의정부시 녹양동 174-1번지경기도 의정부시 체육로 901160637.757569127.029095031-826-2515https://www.siseol.or.kr/happycall
25이천시이천시동행누리센터경기도 이천시 중리동 449번지경기도 이천시 서희로 111737637.273849127.4338061899-0017https://www.2000happydream.or.kr/main/main.do?mnr=main
26파주시파주도시관광공사 교통약자이동지원센터경기도 파주시 월롱면 위전리 598-4번지경기도 파주시 월롱면 휴암로 111094637.796128126.790197080-699-6199https://pajuutc.or.kr/ouz/fclty/traffic/guide/guide/contents.do
27평택시평택도시공사 교통약자이동지원센터경기도 평택시 도일동 1169-5번지경기도 평택시 도일유통길 251772537.038491127.100636031-651-4700https://www.puc.or.kr/business/trust.do
28포천시포천도시공사 포천행복콜경기도 포천시 군내면 하성북리 618번지경기도 포천시 군내면 청성로 1121115137.895891127.21055031-536-2000https://www.pcuc.kr/open_content/facilities/happycall/facilitiesguide.jsp
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