Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
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://data.incheon.go.kr/findData/publicDataDetail?dataId=15087245&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:03:12.929602
Analysis finished2024-01-28 15:03:14.002479
Duration1.07 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%
Mean6267.7336
Minimum3
Maximum12553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-29T00:03:14.061320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile618.85
Q13094.75
median6240
Q39441.25
95-th percentile11931.1
Maximum12553
Range12550
Interquartile range (IQR)6346.5

Descriptive statistics

Standard deviation3639.5813
Coefficient of variation (CV)0.58068538
Kurtosis-1.2120178
Mean6267.7336
Median Absolute Deviation (MAD)3175.5
Skewness0.0054119334
Sum62677336
Variance13246552
MonotonicityNot monotonic
2024-01-29T00:03:14.171975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6390 1
 
< 0.1%
6412 1
 
< 0.1%
3497 1
 
< 0.1%
8303 1
 
< 0.1%
5268 1
 
< 0.1%
2923 1
 
< 0.1%
11234 1
 
< 0.1%
4150 1
 
< 0.1%
4410 1
 
< 0.1%
10967 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
12553 1
< 0.1%
12552 1
< 0.1%
12551 1
< 0.1%
12550 1
< 0.1%
12548 1
< 0.1%
12547 1
< 0.1%
12546 1
< 0.1%
12545 1
< 0.1%
12544 1
< 0.1%
12543 1
< 0.1%

업체명
Text

Distinct9833
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-29T00:03:14.475173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length6.6538
Min length1

Characters and Unicode

Total characters66538
Distinct characters1115
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

Unique9684 ?
Unique (%)96.8%

Sample

1st row완두콩
2nd row이노스
3rd row지비피(GBP)뮤직
4th row플라워 콤마
5th row렌탈의 모든것
ValueCountFrequency (%)
주식회사 537
 
4.3%
co 31
 
0.2%
ltd 31
 
0.2%
company 27
 
0.2%
컴퍼니 27
 
0.2%
주 25
 
0.2%
더 23
 
0.2%
부평점 19
 
0.2%
코리아 16
 
0.1%
korea 15
 
0.1%
Other values (10927) 11834
94.0%
2024-01-29T00:03:14.897109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2586
 
3.9%
이 2430
 
3.7%
스 1900
 
2.9%
) 1896
 
2.8%
( 1895
 
2.8%
리 1138
 
1.7%
주 1087
 
1.6%
사 904
 
1.4%
아 893
 
1.3%
e 752
 
1.1%
Other values (1105) 51057
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47291
71.1%
Lowercase Letter 6393
 
9.6%
Uppercase Letter 5483
 
8.2%
Space Separator 2586
 
3.9%
Close Punctuation 1901
 
2.9%
Open Punctuation 1900
 
2.9%
Decimal Number 549
 
0.8%
Other Punctuation 331
 
0.5%
Dash Punctuation 56
 
0.1%
Other Symbol 20
 
< 0.1%
Other values (5) 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2430
 
5.1%
스 1900
 
4.0%
리 1138
 
2.4%
주 1087
 
2.3%
사 904
 
1.9%
아 893
 
1.9%
니 668
 
1.4%
에 662
 
1.4%
식 622
 
1.3%
트 615
 
1.3%
Other values (1022) 36372
76.9%
Lowercase Letter
ValueCountFrequency (%)
e 752
11.8%
o 677
 
10.6%
a 585
 
9.2%
n 460
 
7.2%
i 437
 
6.8%
l 397
 
6.2%
r 388
 
6.1%
t 378
 
5.9%
s 305
 
4.8%
m 262
 
4.1%
Other values (16) 1752
27.4%
Uppercase Letter
ValueCountFrequency (%)
O 419
 
7.6%
A 403
 
7.3%
S 399
 
7.3%
E 357
 
6.5%
N 317
 
5.8%
I 309
 
5.6%
T 307
 
5.6%
M 298
 
5.4%
C 289
 
5.3%
L 281
 
5.1%
Other values (16) 2104
38.4%
Decimal Number
ValueCountFrequency (%)
1 106
19.3%
2 96
17.5%
3 72
13.1%
0 58
10.6%
4 50
9.1%
9 40
 
7.3%
5 38
 
6.9%
8 32
 
5.8%
6 29
 
5.3%
7 28
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 206
62.2%
& 79
 
23.9%
' 21
 
6.3%
# 13
 
3.9%
: 6
 
1.8%
" 2
 
0.6%
/ 2
 
0.6%
; 1
 
0.3%
· 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1896
99.7%
] 5
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1895
99.7%
[ 5
 
0.3%
Space Separator
ValueCountFrequency (%)
2586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47270
71.0%
Latin 11878
 
17.9%
Common 7349
 
11.0%
Han 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2430
 
5.1%
스 1900
 
4.0%
리 1138
 
2.4%
주 1087
 
2.3%
사 904
 
1.9%
아 893
 
1.9%
니 668
 
1.4%
에 662
 
1.4%
식 622
 
1.3%
트 615
 
1.3%
Other values (986) 36351
76.9%
Latin
ValueCountFrequency (%)
e 752
 
6.3%
o 677
 
5.7%
a 585
 
4.9%
n 460
 
3.9%
i 437
 
3.7%
O 419
 
3.5%
A 403
 
3.4%
S 399
 
3.4%
l 397
 
3.3%
r 388
 
3.3%
Other values (43) 6961
58.6%
Han
ValueCountFrequency (%)
大 2
 
4.9%
愛 2
 
4.9%
譚 2
 
4.9%
海 2
 
4.9%
天 1
 
2.4%
樂 1
 
2.4%
宣 1
 
2.4%
陽 1
 
2.4%
貞 1
 
2.4%
貿 1
 
2.4%
Other values (27) 27
65.9%
Common
ValueCountFrequency (%)
2586
35.2%
) 1896
25.8%
( 1895
25.8%
. 206
 
2.8%
1 106
 
1.4%
2 96
 
1.3%
& 79
 
1.1%
3 72
 
1.0%
0 58
 
0.8%
- 56
 
0.8%
Other values (19) 299
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47250
71.0%
ASCII 19223
28.9%
CJK 40
 
0.1%
None 21
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2586
 
13.5%
) 1896
 
9.9%
( 1895
 
9.9%
e 752
 
3.9%
o 677
 
3.5%
a 585
 
3.0%
n 460
 
2.4%
i 437
 
2.3%
O 419
 
2.2%
A 403
 
2.1%
Other values (69) 9113
47.4%
Hangul
ValueCountFrequency (%)
이 2430
 
5.1%
스 1900
 
4.0%
리 1138
 
2.4%
주 1087
 
2.3%
사 904
 
1.9%
아 893
 
1.9%
니 668
 
1.4%
에 662
 
1.4%
식 622
 
1.3%
트 615
 
1.3%
Other values (985) 36331
76.9%
None
ValueCountFrequency (%)
㈜ 20
95.2%
· 1
 
4.8%
CJK
ValueCountFrequency (%)
大 2
 
5.0%
愛 2
 
5.0%
譚 2
 
5.0%
海 2
 
5.0%
天 1
 
2.5%
宣 1
 
2.5%
陽 1
 
2.5%
貞 1
 
2.5%
貿 1
 
2.5%
思 1
 
2.5%
Other values (26) 26
65.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

소재지
Text

Distinct9516
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-29T00:03:15.180685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length37.7598
Min length3

Characters and Unicode

Total characters377598
Distinct characters509
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

Unique9136 ?
Unique (%)91.4%

Sample

1st row인천광역시 부평구 길주남로113번길 12， 3동 503호 (부개동， 동아APT)
2nd row인천광역시 부평구 원적로 361， 102동 1803호 (산곡동， 한화아파트)
3rd row인천광역시 부평구 길주로 501-18， 49동 401호 (청천동， 삼우시티빌)
4th row인천광역시 부평구 마분로28번길 4 (부개동)
5th row인천광역시 부평구 갈월서로 46， 5동 1103호 (갈산동， 태화아파트)
ValueCountFrequency (%)
인천광역시 9959
 
14.0%
부평구 9959
 
14.0%
부평동 2161
 
3.0%
부평동， 1497
 
2.1%
청천동 824
 
1.2%
부평대로 715
 
1.0%
1층 662
 
0.9%
산곡동， 642
 
0.9%
십정동 539
 
0.8%
부개동， 536
 
0.8%
Other values (6453) 43667
61.4%
2024-01-29T00:03:15.631749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61161
 
16.2%
부 18894
 
5.0%
1 16604
 
4.4%
평 16454
 
4.4%
동 15130
 
4.0%
， 13761
 
3.6%
천 11866
 
3.1%
0 10955
 
2.9%
인 10577
 
2.8%
광 10401
 
2.8%
Other values (499) 191795
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208408
55.2%
Decimal Number 71029
 
18.8%
Space Separator 61161
 
16.2%
Other Punctuation 13816
 
3.7%
Open Punctuation 9909
 
2.6%
Close Punctuation 9909
 
2.6%
Dash Punctuation 1973
 
0.5%
Uppercase Letter 1287
 
0.3%
Lowercase Letter 63
 
< 0.1%
Math Symbol 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 18894
 
9.1%
평 16454
 
7.9%
동 15130
 
7.3%
천 11866
 
5.7%
인 10577
 
5.1%
광 10401
 
5.0%
시 10354
 
5.0%
역 10242
 
4.9%
구 10079
 
4.8%
로 9976
 
4.8%
Other values (434) 84435
40.5%
Uppercase Letter
ValueCountFrequency (%)
B 370
28.7%
A 290
22.5%
C 118
 
9.2%
T 55
 
4.3%
M 52
 
4.0%
H 49
 
3.8%
S 44
 
3.4%
E 44
 
3.4%
D 34
 
2.6%
P 28
 
2.2%
Other values (15) 203
15.8%
Lowercase Letter
ValueCountFrequency (%)
t 8
12.7%
y 8
12.7%
b 8
12.7%
i 7
11.1%
c 6
9.5%
e 5
7.9%
a 4
6.3%
o 4
6.3%
n 3
 
4.8%
m 2
 
3.2%
Other values (5) 8
12.7%
Decimal Number
ValueCountFrequency (%)
1 16604
23.4%
0 10955
15.4%
2 9888
13.9%
3 7950
11.2%
4 6306
 
8.9%
5 4860
 
6.8%
6 4717
 
6.6%
7 3585
 
5.0%
8 3339
 
4.7%
9 2825
 
4.0%
Other Punctuation
ValueCountFrequency (%)
， 13761
99.6%
/ 18
 
0.1%
. 18
 
0.1%
@ 13
 
0.1%
& 3
 
< 0.1%
＆ 2
 
< 0.1%
· 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
61161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9909
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1973
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208405
55.2%
Common 167833
44.4%
Latin 1357
 
0.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 18894
 
9.1%
평 16454
 
7.9%
동 15130
 
7.3%
천 11866
 
5.7%
인 10577
 
5.1%
광 10401
 
5.0%
시 10354
 
5.0%
역 10242
 
4.9%
구 10079
 
4.8%
로 9976
 
4.8%
Other values (432) 84432
40.5%
Latin
ValueCountFrequency (%)
B 370
27.3%
A 290
21.4%
C 118
 
8.7%
T 55
 
4.1%
M 52
 
3.8%
H 49
 
3.6%
S 44
 
3.2%
E 44
 
3.2%
D 34
 
2.5%
P 28
 
2.1%
Other values (33) 273
20.1%
Common
ValueCountFrequency (%)
61161
36.4%
1 16604
 
9.9%
， 13761
 
8.2%
0 10955
 
6.5%
( 9909
 
5.9%
) 9909
 
5.9%
2 9888
 
5.9%
3 7950
 
4.7%
4 6306
 
3.8%
5 4860
 
2.9%
Other values (12) 16530
 
9.8%
Han
ValueCountFrequency (%)
美 2
66.7%
德 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208405
55.2%
ASCII 155419
41.2%
None 13764
 
3.6%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61161
39.4%
1 16604
 
10.7%
0 10955
 
7.0%
( 9909
 
6.4%
) 9909
 
6.4%
2 9888
 
6.4%
3 7950
 
5.1%
4 6306
 
4.1%
5 4860
 
3.1%
6 4717
 
3.0%
Other values (49) 13160
 
8.5%
Hangul
ValueCountFrequency (%)
부 18894
 
9.1%
평 16454
 
7.9%
동 15130
 
7.3%
천 11866
 
5.7%
인 10577
 
5.1%
광 10401
 
5.0%
시 10354
 
5.0%
역 10242
 
4.9%
구 10079
 
4.8%
로 9976
 
4.8%
Other values (432) 84432
40.5%
None
ValueCountFrequency (%)
， 13761
> 99.9%
＆ 2
 
< 0.1%
· 1
 
< 0.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%
CJK
ValueCountFrequency (%)
美 2
66.7%
德 1
33.3%

Interactions

2024-01-29T00:03:13.815107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-29T00:03:13.910667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:03:13.969661image/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
63896390완두콩인천광역시 부평구 길주남로113번길 12， 3동 503호 (부개동， 동아APT)
31183119이노스인천광역시 부평구 원적로 361， 102동 1803호 (산곡동， 한화아파트)
1053410535지비피(GBP)뮤직인천광역시 부평구 길주로 501-18， 49동 401호 (청천동， 삼우시티빌)
29632964플라워 콤마인천광역시 부평구 마분로28번길 4 (부개동)
56245625렌탈의 모든것인천광역시 부평구 갈월서로 46， 5동 1103호 (갈산동， 태화아파트)
21232124카페 달므인천광역시 부평구 항동로75번길 35， 1층 (일신동)
56295630오구작작인천광역시 부평구 동수천로 13， 603호 (부평동， 삼성캐슬)
96869687(주)오디에이테크놀로지인천광역시 부평구 부평대로329번길 62 (청천동)
90699070동안클럽부평점인천광역시 부평구 부평대로167번길 54， 102호 (청천동， 경남상가)
34883489현수제공방인천광역시 부평구 경원대로1256번길 17-1， 1층 (부평동)
번호업체명소재지
939940마트k인천광역시 부평구 경원대로 1350， 부평 룩소르 주상복합아파트 101동 710호 (부평동)
15751576아도라빌레(adorabile)인천광역시 부평구 부평대로 지하 7， 부평역지하상가 C동 5호 (부평동)
1039410395으니수니인천광역시 부평구 충선로311번길 11-12 (삼산동)
81928193다주미샵인천광역시 부평구 부평북로 118， 피코그램 201호 (청천동)
17421743서울우유부평센터인천광역시 부평구 여우재로26번길 3 (십정동)
89288929바잉파워인천광역시 부평구 세월천로 16， 105동 901호 (청천동， 청천푸르지오아파트)
15331534숯박사인천광역시 부평구 경인로818번길 15-7， B동 B03호 (부평동， 신용빌라)
1050810509유유스타일인천광역시 부평구 남부역로 10， 305호 (부평동， 일신빌딩)
21802181시노테인천광역시 부평구 주부토로150번길 8-1， 1층 (갈산동)
1142911430세종물산인천광역시 부평구 주부토로145번길 36 (갈산동)