Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 부평구 방송판매업 현황입니다.
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15087245/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:55:29.530018
Analysis finished2023-12-12 09:55:30.834429
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6266.5822
Minimum1
Maximum12553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:55:30.899930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile619.95
Q13105.75
median6268.5
Q39410.25
95-th percentile11914.05
Maximum12553
Range12552
Interquartile range (IQR)6304.5

Descriptive statistics

Standard deviation3632.0624
Coefficient of variation (CV)0.57959224
Kurtosis-1.2050702
Mean6266.5822
Median Absolute Deviation (MAD)3152.5
Skewness0.0045499712
Sum62665822
Variance13191878
MonotonicityNot monotonic
2023-12-12T18:55:31.054394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
652 1
 
< 0.1%
11012 1
 
< 0.1%
10364 1
 
< 0.1%
4084 1
 
< 0.1%
9643 1
 
< 0.1%
11918 1
 
< 0.1%
4333 1
 
< 0.1%
11876 1
 
< 0.1%
10325 1
 
< 0.1%
4737 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
12553 1
< 0.1%
12552 1
< 0.1%
12551 1
< 0.1%
12550 1
< 0.1%
12549 1
< 0.1%
12548 1
< 0.1%
12546 1
< 0.1%
12542 1
< 0.1%
12539 1
< 0.1%
12538 1
< 0.1%

업체명
Text

Distinct9834
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:55:31.608969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length6.6091
Min length1

Characters and Unicode

Total characters66091
Distinct characters1126
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9679 ?
Unique (%)96.8%

Sample

1st row플루미
2nd row철물전설
3rd row도하옷장
4th row치노어패럴
5th row나린디스트리부션
ValueCountFrequency (%)
주식회사 523
 
4.2%
컴퍼니 30
 
0.2%
company 26
 
0.2%
co 25
 
0.2%
ltd 24
 
0.2%
주 22
 
0.2%
더 22
 
0.2%
코리아 18
 
0.1%
부평점 15
 
0.1%
12
 
0.1%
Other values (10898) 11819
94.3%
2023-12-12T18:55:32.082764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2539
 
3.8%
이 2404
 
3.6%
) 1899
 
2.9%
( 1898
 
2.9%
스 1868
 
2.8%
리 1131
 
1.7%
주 1065
 
1.6%
아 908
 
1.4%
사 873
 
1.3%
e 763
 
1.2%
Other values (1116) 50743
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46916
71.0%
Lowercase Letter 6534
 
9.9%
Uppercase Letter 5296
 
8.0%
Space Separator 2539
 
3.8%
Close Punctuation 1904
 
2.9%
Open Punctuation 1903
 
2.9%
Decimal Number 554
 
0.8%
Other Punctuation 328
 
0.5%
Dash Punctuation 60
 
0.1%
Other Symbol 26
 
< 0.1%
Other values (5) 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2404
 
5.1%
스 1868
 
4.0%
리 1131
 
2.4%
주 1065
 
2.3%
아 908
 
1.9%
사 873
 
1.9%
에 649
 
1.4%
니 629
 
1.3%
식 611
 
1.3%
트 607
 
1.3%
Other values (1033) 36171
77.1%
Lowercase Letter
ValueCountFrequency (%)
e 763
11.7%
o 685
 
10.5%
a 593
 
9.1%
n 476
 
7.3%
i 458
 
7.0%
l 407
 
6.2%
r 395
 
6.0%
t 368
 
5.6%
s 315
 
4.8%
m 277
 
4.2%
Other values (16) 1797
27.5%
Uppercase Letter
ValueCountFrequency (%)
O 404
 
7.6%
A 385
 
7.3%
S 382
 
7.2%
E 342
 
6.5%
N 312
 
5.9%
I 311
 
5.9%
M 300
 
5.7%
T 282
 
5.3%
L 268
 
5.1%
C 267
 
5.0%
Other values (16) 2043
38.6%
Decimal Number
ValueCountFrequency (%)
1 98
17.7%
2 92
16.6%
3 70
12.6%
0 55
9.9%
4 53
9.6%
5 44
7.9%
9 43
7.8%
6 38
 
6.9%
7 31
 
5.6%
8 30
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 186
56.7%
& 88
26.8%
' 27
 
8.2%
# 12
 
3.7%
: 9
 
2.7%
/ 3
 
0.9%
" 2
 
0.6%
· 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1899
99.7%
] 5
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1898
99.7%
[ 5
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
= 1
50.0%
Space Separator
ValueCountFrequency (%)
2539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46899
71.0%
Latin 11832
 
17.9%
Common 7317
 
11.1%
Han 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2404
 
5.1%
스 1868
 
4.0%
리 1131
 
2.4%
주 1065
 
2.3%
아 908
 
1.9%
사 873
 
1.9%
에 649
 
1.4%
니 629
 
1.3%
식 611
 
1.3%
트 607
 
1.3%
Other values (996) 36154
77.1%
Latin
ValueCountFrequency (%)
e 763
 
6.4%
o 685
 
5.8%
a 593
 
5.0%
n 476
 
4.0%
i 458
 
3.9%
l 407
 
3.4%
O 404
 
3.4%
r 395
 
3.3%
A 385
 
3.3%
S 382
 
3.2%
Other values (43) 6884
58.2%
Han
ValueCountFrequency (%)
譚 2
 
4.7%
大 2
 
4.7%
愛 2
 
4.7%
海 2
 
4.7%
滿 2
 
4.7%
中 1
 
2.3%
國 1
 
2.3%
河 1
 
2.3%
淸 1
 
2.3%
貿 1
 
2.3%
Other values (28) 28
65.1%
Common
ValueCountFrequency (%)
2539
34.7%
) 1899
26.0%
( 1898
25.9%
. 186
 
2.5%
1 98
 
1.3%
2 92
 
1.3%
& 88
 
1.2%
3 70
 
1.0%
- 60
 
0.8%
0 55
 
0.8%
Other values (19) 332
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46873
70.9%
ASCII 19145
29.0%
CJK 42
 
0.1%
None 27
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2539
 
13.3%
) 1899
 
9.9%
( 1898
 
9.9%
e 763
 
4.0%
o 685
 
3.6%
a 593
 
3.1%
n 476
 
2.5%
i 458
 
2.4%
l 407
 
2.1%
O 404
 
2.1%
Other values (69) 9023
47.1%
Hangul
ValueCountFrequency (%)
이 2404
 
5.1%
스 1868
 
4.0%
리 1131
 
2.4%
주 1065
 
2.3%
아 908
 
1.9%
사 873
 
1.9%
에 649
 
1.4%
니 629
 
1.3%
식 611
 
1.3%
트 607
 
1.3%
Other values (995) 36128
77.1%
None
ValueCountFrequency (%)
㈜ 26
96.3%
· 1
 
3.7%
CJK
ValueCountFrequency (%)
譚 2
 
4.8%
大 2
 
4.8%
愛 2
 
4.8%
海 2
 
4.8%
滿 2
 
4.8%
中 1
 
2.4%
國 1
 
2.4%
河 1
 
2.4%
淸 1
 
2.4%
貿 1
 
2.4%
Other values (27) 27
64.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

소재지
Text

Distinct9500
Distinct (%)95.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T18:55:32.402268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length37.813281
Min length3

Characters and Unicode

Total characters378095
Distinct characters507
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9107 ?
Unique (%)91.1%

Sample

1st row인천광역시 부평구 장제로 405-12， 110동 101호 (삼산동， 다승프라임)
2nd row인천광역시 부평구 안남로 272， 204동 1802호 (청천동， 금호타운)
3rd row인천광역시 부평구 안남로 315， 105동 2001호 (청천동， 하우스디)
4th row인천광역시 부평구 경원대로 1362， 지예타워 7동 702호 (부평동)
5th row인천광역시 부평구 경원대로 1413 (부평동，3층)
ValueCountFrequency (%)
인천광역시 9964
 
14.0%
부평구 9964
 
14.0%
부평동 2132
 
3.0%
부평동， 1489
 
2.1%
청천동 842
 
1.2%
부평대로 703
 
1.0%
산곡동， 663
 
0.9%
1층 641
 
0.9%
부개동， 547
 
0.8%
삼산동， 542
 
0.8%
Other values (6406) 43823
61.5%
2023-12-12T18:55:32.846292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61312
 
16.2%
부 18850
 
5.0%
1 16534
 
4.4%
평 16424
 
4.3%
동 15237
 
4.0%
， 13786
 
3.6%
천 11904
 
3.1%
0 11087
 
2.9%
인 10591
 
2.8%
광 10400
 
2.8%
Other values (497) 191970
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208699
55.2%
Decimal Number 71145
 
18.8%
Space Separator 61312
 
16.2%
Other Punctuation 13840
 
3.7%
Open Punctuation 9903
 
2.6%
Close Punctuation 9903
 
2.6%
Dash Punctuation 1936
 
0.5%
Uppercase Letter 1250
 
0.3%
Lowercase Letter 58
 
< 0.1%
Math Symbol 39
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 18850
 
9.0%
평 16424
 
7.9%
동 15237
 
7.3%
천 11904
 
5.7%
인 10591
 
5.1%
광 10400
 
5.0%
시 10345
 
5.0%
역 10254
 
4.9%
구 10077
 
4.8%
로 9959
 
4.8%
Other values (433) 84658
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 366
29.3%
A 274
21.9%
C 120
 
9.6%
T 54
 
4.3%
M 51
 
4.1%
H 48
 
3.8%
S 43
 
3.4%
E 41
 
3.3%
D 33
 
2.6%
I 28
 
2.2%
Other values (15) 192
15.4%
Lowercase Letter
ValueCountFrequency (%)
t 9
15.5%
y 9
15.5%
i 8
13.8%
c 7
12.1%
b 7
12.1%
o 4
6.9%
e 3
 
5.2%
r 2
 
3.4%
n 2
 
3.4%
m 2
 
3.4%
Other values (4) 5
8.6%
Decimal Number
ValueCountFrequency (%)
1 16534
23.2%
0 11087
15.6%
2 9996
14.1%
3 7986
11.2%
4 6266
 
8.8%
5 4848
 
6.8%
6 4698
 
6.6%
7 3581
 
5.0%
8 3298
 
4.6%
9 2851
 
4.0%
Other Punctuation
ValueCountFrequency (%)
， 13786
99.6%
. 20
 
0.1%
/ 17
 
0.1%
@ 10
 
0.1%
＆ 3
 
< 0.1%
· 2
 
< 0.1%
& 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 2
 
20.0%
Ⅲ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
61312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1936
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208696
55.2%
Common 168078
44.5%
Latin 1318
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 18850
 
9.0%
평 16424
 
7.9%
동 15237
 
7.3%
천 11904
 
5.7%
인 10591
 
5.1%
광 10400
 
5.0%
시 10345
 
5.0%
역 10254
 
4.9%
구 10077
 
4.8%
로 9959
 
4.8%
Other values (431) 84655
40.6%
Latin
ValueCountFrequency (%)
B 366
27.8%
A 274
20.8%
C 120
 
9.1%
T 54
 
4.1%
M 51
 
3.9%
H 48
 
3.6%
S 43
 
3.3%
E 41
 
3.1%
D 33
 
2.5%
I 28
 
2.1%
Other values (32) 260
19.7%
Common
ValueCountFrequency (%)
61312
36.5%
1 16534
 
9.8%
， 13786
 
8.2%
0 11087
 
6.6%
2 9996
 
5.9%
( 9903
 
5.9%
) 9903
 
5.9%
3 7986
 
4.8%
4 6266
 
3.7%
5 4848
 
2.9%
Other values (12) 16457
 
9.8%
Han
ValueCountFrequency (%)
美 2
66.7%
德 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208696
55.2%
ASCII 155595
41.2%
None 13791
 
3.6%
Number Forms 10
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61312
39.4%
1 16534
 
10.6%
0 11087
 
7.1%
2 9996
 
6.4%
( 9903
 
6.4%
) 9903
 
6.4%
3 7986
 
5.1%
4 6266
 
4.0%
5 4848
 
3.1%
6 4698
 
3.0%
Other values (48) 13062
 
8.4%
Hangul
ValueCountFrequency (%)
부 18850
 
9.0%
평 16424
 
7.9%
동 15237
 
7.3%
천 11904
 
5.7%
인 10591
 
5.1%
광 10400
 
5.0%
시 10345
 
5.0%
역 10254
 
4.9%
구 10077
 
4.8%
로 9959
 
4.8%
Other values (431) 84655
40.6%
None
ValueCountFrequency (%)
， 13786
> 99.9%
＆ 3
 
< 0.1%
· 2
 
< 0.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 2
 
20.0%
Ⅲ 1
 
10.0%
CJK
ValueCountFrequency (%)
美 2
66.7%
德 1
33.3%

Interactions

2023-12-12T18:55:30.593681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T18:55:30.718131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:55:30.795185image/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

번호업체명소재지
651652플루미인천광역시 부평구 장제로 405-12， 110동 101호 (삼산동， 다승프라임)
1069710698철물전설인천광역시 부평구 안남로 272， 204동 1802호 (청천동， 금호타운)
60896090도하옷장인천광역시 부평구 안남로 315， 105동 2001호 (청천동， 하우스디)
52375238치노어패럴인천광역시 부평구 경원대로 1362， 지예타워 7동 702호 (부평동)
1160411605나린디스트리부션인천광역시 부평구 경원대로 1413 (부평동，3층)
935936영구유통인천광역시 부평구 원적로 344， 205동 1102호 (산곡동， 금호 이수 마운트밸리)
1092510926(주)한주항공여행사인천광역시 부평구 마장로 329-1 (산곡동)
746747헬로오토케어인천광역시 부평구 경인로 866， 1층 (부평동)
98799880힐톡인천광역시 부평구 육동로8번길 38， 501호 (부평동)
36903691부평주짓수 트라이스톤인천광역시 부평구 체육관로 14， 삼산지구 복합시설 701호 (삼산동)
번호업체명소재지
904905더모여인천광역시 부평구 마장로36번길 26， 더카운티 1108호 (십정동)
67706771다오뉴인천광역시 부평구 안남로206번길 18， 408동 1202호 (산곡동， 경남아파트)
1009410095채움인천광역시 부평구 수변로 333， 218동 801호 (삼산동， 삼산타운)
30383039뭉구뭉구인천광역시 부평구 길주로494번길 7， 1층 (청천동)
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