gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	129.0 B

Variable types

Categorical	3
Numeric	8
Text	3

Dataset

Description	기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권_코드,상권_코드_명,서비스_업종_코드,서비스_업종_코드_명,점포_수,유사_업종_점포_수,개업_율,개업_점포_수,폐업_률,폐업_점포_수,프랜차이즈_점포_수
Author	서울신용보증재단
URL	https://data.seoul.go.kr/dataList/OA-15578/S/1/datasetView.do

Alerts

`상권_구분_코드` has constant value ""	Constant
`상권_구분_코드_명` has constant value ""	Constant
`상권_코드` is highly overall correlated with `기준_년분기_코드`	High correlation
`점포_수` is highly overall correlated with `유사_업종_점포_수`	High correlation
`유사_업종_점포_수` is highly overall correlated with `점포_수`	High correlation
`개업_율` is highly overall correlated with `개업_점포_수`	High correlation
`개업_점포_수` is highly overall correlated with `개업_율`	High correlation
`폐업_률` is highly overall correlated with `폐업_점포_수`	High correlation
`폐업_점포_수` is highly overall correlated with `폐업_률`	High correlation
`기준_년분기_코드` is highly overall correlated with `상권_코드`	High correlation
`점포_수` has 127 (1.3%) zeros	Zeros
`개업_율` has 8356 (83.6%) zeros	Zeros
`개업_점포_수` has 8354 (83.5%) zeros	Zeros
`폐업_률` has 8073 (80.7%) zeros	Zeros
`폐업_점포_수` has 8042 (80.4%) zeros	Zeros
`프랜차이즈_점포_수` has 7872 (78.7%) zeros	Zeros

Reproduction

Analysis started	2024-05-03 22:58:05.544164
Analysis finished	2024-05-03 22:58:35.890952
Duration	30.35 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기준_년분기_코드
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

20231	8509
20232	1491

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20231
2nd row	20231
3rd row	20231
4th row	20231
5th row	20231

Common Values

Value	Count	Frequency (%)
20231	8509	85.1%
20232	1491	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20231	8509	85.1%
20232	1491	14.9%

상권_구분_코드
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

A	10000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
A	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
a	10000	100.0%

상권_구분_코드_명
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

골목상권	10000

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	골목상권
2nd row	골목상권
3rd row	골목상권
4th row	골목상권
5th row	골목상권

Common Values

Value	Count	Frequency (%)
골목상권	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
골목상권	10000	100.0%

상권_코드
Real number (ℝ)

HIGH CORRELATION

Distinct	1088
Distinct (%)	10.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3110483.6

Minimum	3110001
Maximum	3111090
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3110001
5-th percentile	3110039
Q1	3110163
median	3110463
Q3	3110773
95-th percentile	3111026
Maximum	3111090
Range	1089
Interquartile range (IQR)	610

Descriptive statistics

Standard deviation	330.73663
Coefficient of variation (CV)	0.00010632965
Kurtosis	-1.2938823
Mean	3110483.6
Median Absolute Deviation (MAD)	303
Skewness	0.20517099
Sum	3.1104836 × 10¹⁰
Variance	109386.72
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3110137	33	0.3%
3110047	26	0.3%
3110147	25	0.2%
3110117	25	0.2%
3110181	24	0.2%
3110132	24	0.2%
3110159	24	0.2%
3110128	24	0.2%
3110166	23	0.2%
3110045	23	0.2%
Other values (1078)	9749	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3110001	7	0.1%
3110002	12	0.1%
3110003	11	0.1%
3110004	9	0.1%
3110005	22	0.2%
3110006	6	0.1%
3110007	16	0.2%
3110008	20	0.2%
3110009	7	0.1%
3110010	16	0.2%

Value	Count	Frequency (%)
3111090	5	0.1%
3111089	8	0.1%
3111088	5	0.1%
3111087	3	< 0.1%
3111086	3	< 0.1%
3111085	9	0.1%
3111084	9	0.1%
3111083	3	< 0.1%
3111082	7	0.1%
3111081	6	0.1%

상권_코드_명
Text

Distinct	1088
Distinct (%)	10.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	27
Median length	24
Mean length	7.3951
Min length	2

Characters and Unicode

Total characters	73951
Distinct characters	401
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	문정동성당
2nd row	장스여성병원
3rd row	수송초등학교
4th row	문현중학교(장지역 1번)
5th row	중곡4동주민센터

Value	Count	Frequency (%)
1번	724	5.3%
3번	527	3.8%
4번	494	3.6%
2번	486	3.5%
6번	247	1.8%
5번	247	1.8%
8번	141	1.0%
7번	136	1.0%
9번	48	0.3%
12번	46	0.3%
Other values (980)	10678	77.5%

Most occurring characters

Value	Count	Frequency (%)
	3774	5.1%
역	3563	4.8%
번	3395	4.6%
학	2425	3.3%
교	2415	3.3%
동	2225	3.0%
등	1640	2.2%
1	1355	1.8%
대	1284	1.7%
초	1193	1.6%
Other values (391)	50682	68.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	63754	86.2%
Decimal Number	4563	6.2%
Space Separator	3774	5.1%
Close Punctuation	745	1.0%
Open Punctuation	745	1.0%
Uppercase Letter	326	0.4%
Other Punctuation	40	0.1%
Lowercase Letter	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	3563	5.6%
번	3395	5.3%
학	2425	3.8%
교	2415	3.8%
동	2225	3.5%
등	1640	2.6%
대	1284	2.0%
초	1193	1.9%
원	1192	1.9%
터	1090	1.7%
Other values (361)	43332	68.0%

Uppercase Letter

Value	Count	Frequency (%)
K	75	23.0%
T	37	11.3%
G	35	10.7%
N	32	9.8%
H	32	9.8%
B	31	9.5%
I	25	7.7%
C	20	6.1%
S	19	5.8%
F	6	1.8%
Other values (3)	14	4.3%

Decimal Number

Value	Count	Frequency (%)
1	1355	29.7%
2	784	17.2%
3	691	15.1%
4	676	14.8%
5	340	7.5%
6	265	5.8%
8	161	3.5%
7	143	3.1%
9	106	2.3%
0	42	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	19	47.5%
&	14	35.0%
.	7	17.5%

Space Separator

Value	Count	Frequency (%)
	3774	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	745	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	745	100.0%

Lowercase Letter

Value	Count	Frequency (%)
h	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	63754	86.2%
Common	9867	13.3%
Latin	330	0.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	3563	5.6%
번	3395	5.3%
학	2425	3.8%
교	2415	3.8%
동	2225	3.5%
등	1640	2.6%
대	1284	2.0%
초	1193	1.9%
원	1192	1.9%
터	1090	1.7%
Other values (361)	43332	68.0%

Common

Value	Count	Frequency (%)
	3774	38.2%
1	1355	13.7%
2	784	7.9%
)	745	7.6%
(	745	7.6%
3	691	7.0%
4	676	6.9%
5	340	3.4%
6	265	2.7%
8	161	1.6%
Other values (6)	331	3.4%

Latin

Value	Count	Frequency (%)
K	75	22.7%
T	37	11.2%
G	35	10.6%
N	32	9.7%
H	32	9.7%
B	31	9.4%
I	25	7.6%
C	20	6.1%
S	19	5.8%
F	6	1.8%
Other values (4)	18	5.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	63754	86.2%
ASCII	10197	13.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3774	37.0%
1	1355	13.3%
2	784	7.7%
)	745	7.3%
(	745	7.3%
3	691	6.8%
4	676	6.6%
5	340	3.3%
6	265	2.6%
8	161	1.6%
Other values (20)	661	6.5%

Hangul

Value	Count	Frequency (%)
역	3563	5.6%
번	3395	5.3%
학	2425	3.8%
교	2415	3.8%
동	2225	3.5%
등	1640	2.6%
대	1284	2.0%
초	1193	1.9%
원	1192	1.9%
터	1090	1.7%
Other values (361)	43332	68.0%

서비스_업종_코드
Text

Distinct	100
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	80000
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CS300038
2nd row	CS300016
3rd row	CS300028
4th row	CS100003
5th row	CS300016

Value	Count	Frequency (%)
cs300021	141	1.4%
cs300003	141	1.4%
cs200041	140	1.4%
cs300018	140	1.4%
cs300001	140	1.4%
cs300002	139	1.4%
cs100009	138	1.4%
cs200031	138	1.4%
cs300035	137	1.4%
cs100010	135	1.4%
Other values (90)	8611	86.1%

Most occurring characters

Value	Count	Frequency (%)
0	33991	42.5%
C	10000	12.5%
S	10000	12.5%
3	7549	9.4%
2	7277	9.1%
1	4456	5.6%
4	1945	2.4%
5	990	1.2%
7	977	1.2%
8	976	1.2%
Other values (2)	1839	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60000	75.0%
Uppercase Letter	20000	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33991	56.7%
3	7549	12.6%
2	7277	12.1%
1	4456	7.4%
4	1945	3.2%
5	990	1.7%
7	977	1.6%
8	976	1.6%
6	967	1.6%
9	872	1.5%

Uppercase Letter

Value	Count	Frequency (%)
C	10000	50.0%
S	10000	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	60000	75.0%
Latin	20000	25.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33991	56.7%
3	7549	12.6%
2	7277	12.1%
1	4456	7.4%
4	1945	3.2%
5	990	1.7%
7	977	1.6%
8	976	1.6%
6	967	1.6%
9	872	1.5%

Latin

Value	Count	Frequency (%)
C	10000	50.0%
S	10000	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33991	42.5%
C	10000	12.5%
S	10000	12.5%
3	7549	9.4%
2	7277	9.1%
1	4456	5.6%
4	1945	2.4%
5	990	1.2%
7	977	1.2%
8	976	1.2%
Other values (2)	1839	2.3%

서비스_업종_코드_명
Text

Distinct	100
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	12
Median length	8
Mean length	4.3651
Min length	2

Characters and Unicode

Total characters	43651
Distinct characters	163
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	자동차부품
2nd row	안경
3rd row	화초
4th row	일식음식점
5th row	안경

Value	Count	Frequency (%)
문구	141	1.4%
컴퓨터및주변장치판매	141	1.4%
사진관	140	1.4%
슈퍼마켓	140	1.4%
의약품	140	1.4%
편의점	139	1.3%
호프-간이주점	138	1.3%
세탁소	138	1.3%
인테리어	137	1.3%
커피-음료	135	1.3%
Other values (94)	8960	86.6%

Most occurring characters

Value	Count	Frequency (%)
점	1542	3.5%
품	1273	2.9%
식	1163	2.7%
의	997	2.3%
사	977	2.2%
원	885	2.0%
동	791	1.8%
음	729	1.7%
기	709	1.6%
장	693	1.6%
Other values (153)	33892	77.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	42618	97.6%
Space Separator	349	0.8%
Dash Punctuation	273	0.6%
Uppercase Letter	252	0.6%
Other Punctuation	159	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	1542	3.6%
품	1273	3.0%
식	1163	2.7%
의	997	2.3%
사	977	2.3%
원	885	2.1%
동	791	1.9%
음	729	1.7%
기	709	1.7%
장	693	1.6%
Other values (146)	32859	77.1%

Uppercase Letter

Value	Count	Frequency (%)
C	75	29.8%
P	75	29.8%
D	68	27.0%
V	34	13.5%

Space Separator

Value	Count	Frequency (%)
	349	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	273	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	159	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	42618	97.6%
Common	781	1.8%
Latin	252	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	1542	3.6%
품	1273	3.0%
식	1163	2.7%
의	997	2.3%
사	977	2.3%
원	885	2.1%
동	791	1.9%
음	729	1.7%
기	709	1.7%
장	693	1.6%
Other values (146)	32859	77.1%

Latin

Value	Count	Frequency (%)
C	75	29.8%
P	75	29.8%
D	68	27.0%
V	34	13.5%

Common

Value	Count	Frequency (%)
	349	44.7%
-	273	35.0%
/	159	20.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	42618	97.6%
ASCII	1033	2.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
점	1542	3.6%
품	1273	3.0%
식	1163	2.7%
의	997	2.3%
사	977	2.3%
원	885	2.1%
동	791	1.9%
음	729	1.7%
기	709	1.7%
장	693	1.6%
Other values (146)	32859	77.1%

ASCII

Value	Count	Frequency (%)
	349	33.8%
-	273	26.4%
/	159	15.4%
C	75	7.3%
P	75	7.3%
D	68	6.6%
V	34	3.3%

점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	167
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.0618

Minimum	0
Maximum	578
Zeros	127
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	10
95-th percentile	38
Maximum	578
Range	578
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	20.390614
Coefficient of variation (CV)	2.0265374
Kurtosis	107.71141
Mean	10.0618
Median Absolute Deviation (MAD)	3
Skewness	7.5558323
Sum	100618
Variance	415.77716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1919	19.2%
2	1358	13.6%
3	990	9.9%
4	770	7.7%
5	665	6.7%
6	548	5.5%
7	439	4.4%
8	358	3.6%
9	294	2.9%
10	255	2.5%
Other values (157)	2404	24.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	127	1.3%
1	1919	19.2%
2	1358	13.6%
3	990	9.9%
4	770	7.7%
5	665	6.7%
6	548	5.5%
7	439	4.4%
8	358	3.6%
9	294	2.9%

Value	Count	Frequency (%)
578	1	< 0.1%
385	1	< 0.1%
346	1	< 0.1%
254	1	< 0.1%
239	1	< 0.1%
230	1	< 0.1%
226	1	< 0.1%
224	1	< 0.1%
223	1	< 0.1%
220	1	< 0.1%

유사_업종_점포_수
Real number (ℝ)

HIGH CORRELATION

Distinct	171
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.8717

Minimum	0
Maximum	578
Zeros	31
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	11
95-th percentile	39
Maximum	578
Range	578
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	21.151094
Coefficient of variation (CV)	1.9455185
Kurtosis	96.346879
Mean	10.8717
Median Absolute Deviation (MAD)	4
Skewness	7.1932474
Sum	108717
Variance	447.36878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1823	18.2%
2	1282	12.8%
3	947	9.5%
4	740	7.4%
5	664	6.6%
6	546	5.5%
7	433	4.3%
8	377	3.8%
9	313	3.1%
10	270	2.7%
Other values (161)	2605	26.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31	0.3%
1	1823	18.2%
2	1282	12.8%
3	947	9.5%
4	740	7.4%
5	664	6.6%
6	546	5.5%
7	433	4.3%
8	377	3.8%
9	313	3.1%

Value	Count	Frequency (%)
578	1	< 0.1%
385	1	< 0.1%
348	1	< 0.1%
262	1	< 0.1%
254	1	< 0.1%
238	1	< 0.1%
237	1	< 0.1%
230	1	< 0.1%
223	1	< 0.1%
221	1	< 0.1%

개업_율
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	37
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3537

Minimum	0
Maximum	100
Zeros	8356
Zeros (%)	83.6%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	14
Maximum	100
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.6549689
Coefficient of variation (CV)	3.6771759
Kurtosis	62.351627
Mean	2.3537
Median Absolute Deviation (MAD)	0
Skewness	6.9045969
Sum	23537
Variance	74.908487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	8356	83.6%
5	140	1.4%
6	123	1.2%
8	122	1.2%
4	116	1.2%
7	103	1.0%
3	96	1.0%
9	87	0.9%
20	80	0.8%
17	77	0.8%
Other values (27)	700	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8356	83.6%
1	32	0.3%
2	76	0.8%
3	96	1.0%
4	116	1.2%
5	140	1.4%
6	123	1.2%
7	103	1.0%
8	122	1.2%
9	87	0.9%

Value	Count	Frequency (%)
100	34	0.3%
80	1	< 0.1%
67	7	0.1%
60	1	< 0.1%
50	54	0.5%
43	2	< 0.1%
40	8	0.1%
38	2	< 0.1%
33	66	0.7%
30	3	< 0.1%

개업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2679

Minimum	0
Maximum	16
Zeros	8354
Zeros (%)	83.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	16
Range	16
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.82752527
Coefficient of variation (CV)	3.0889334
Kurtosis	75.439332
Mean	0.2679
Median Absolute Deviation (MAD)	0
Skewness	6.6281344
Sum	2679
Variance	0.68479807
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	8354	83.5%
1	1136	11.4%
2	275	2.8%
3	119	1.2%
4	59	0.6%
5	23	0.2%
6	18	0.2%
9	4	< 0.1%
7	2	< 0.1%
13	2	< 0.1%
Other values (7)	8	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8354	83.5%
1	1136	11.4%
2	275	2.8%
3	119	1.2%
4	59	0.6%
5	23	0.2%
6	18	0.2%
7	2	< 0.1%
8	1	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	2	< 0.1%
14	1	< 0.1%
13	2	< 0.1%
12	1	< 0.1%
11	1	< 0.1%
10	1	< 0.1%
9	4	< 0.1%
8	1	< 0.1%
7	2	< 0.1%

폐업_률
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	39
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8689

Minimum	0
Maximum	200
Zeros	8073
Zeros (%)	80.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	15
Maximum	200
Range	200
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10.539119
Coefficient of variation (CV)	3.6735747
Kurtosis	71.607046
Mean	2.8689
Median Absolute Deviation (MAD)	0
Skewness	7.270643
Sum	28689
Variance	111.07302
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	8073	80.7%
3	169	1.7%
6	152	1.5%
4	146	1.5%
5	136	1.4%
8	136	1.4%
7	119	1.2%
2	104	1.0%
10	94	0.9%
13	86	0.9%
Other values (29)	785	7.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8073	80.7%
1	32	0.3%
2	104	1.0%
3	169	1.7%
4	146	1.5%
5	136	1.4%
6	152	1.5%
7	119	1.2%
8	136	1.4%
9	77	0.8%

Value	Count	Frequency (%)
200	2	< 0.1%
150	1	< 0.1%
100	57	0.6%
75	1	< 0.1%
71	1	< 0.1%
67	7	0.1%
60	1	< 0.1%
50	69	0.7%
40	9	0.1%
38	2	< 0.1%

폐업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3445

Minimum	0
Maximum	19
Zeros	8042
Zeros (%)	80.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.0182944
Coefficient of variation (CV)	2.9558618
Kurtosis	64.192861
Mean	0.3445
Median Absolute Deviation (MAD)	0
Skewness	6.2986065
Sum	3445
Variance	1.0369234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	8042	80.4%
1	1321	13.2%
2	326	3.3%
3	129	1.3%
4	70	0.7%
5	31	0.3%
6	31	0.3%
7	17	0.2%
8	10	0.1%
9	8	0.1%
Other values (7)	15	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8042	80.4%
1	1321	13.2%
2	326	3.3%
3	129	1.3%
4	70	0.7%
5	31	0.3%
6	31	0.3%
7	17	0.2%
8	10	0.1%
9	8	0.1%

Value	Count	Frequency (%)
19	2	< 0.1%
18	1	< 0.1%
15	1	< 0.1%
13	1	< 0.1%
12	4	< 0.1%
11	1	< 0.1%
10	5	0.1%
9	8	0.1%
8	10	0.1%
7	17	0.2%

프랜차이즈_점포_수
Real number (ℝ)

ZEROS

Distinct	38
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8099

Minimum	0
Maximum	51
Zeros	7872
Zeros (%)	78.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5
Maximum	51
Range	51
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.7331866
Coefficient of variation (CV)	3.3747211
Kurtosis	56.117025
Mean	0.8099
Median Absolute Deviation (MAD)	0
Skewness	6.3125336
Sum	8099
Variance	7.470309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
0	7872	78.7%
1	876	8.8%
2	411	4.1%
3	207	2.1%
4	133	1.3%
5	92	0.9%
6	76	0.8%
7	50	0.5%
9	40	0.4%
8	34	0.3%
Other values (28)	209	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7872	78.7%
1	876	8.8%
2	411	4.1%
3	207	2.1%
4	133	1.3%
5	92	0.9%
6	76	0.8%
7	50	0.5%
8	34	0.3%
9	40	0.4%

Value	Count	Frequency (%)
51	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
37	1	< 0.1%
34	1	< 0.1%
33	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
30	3	< 0.1%
29	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	기준_년분기_코드	상권_코드	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수
기준_년분기_코드	1.000	0.779	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.040	0.000
상권_코드	0.779	1.000	0.089	0.089	0.007	0.025	0.011	0.054	0.029	0.024	0.000
서비스_업종_코드	0.000	0.089	1.000	1.000	0.567	0.578	0.319	0.482	0.160	0.539	0.646
서비스_업종_코드_명	0.000	0.089	1.000	1.000	0.567	0.578	0.319	0.482	0.160	0.539	0.646
점포_수	0.009	0.007	0.567	0.567	1.000	0.965	0.000	0.515	0.000	0.766	0.222
유사_업종_점포_수	0.000	0.025	0.578	0.578	0.965	1.000	0.000	0.569	0.000	0.709	0.256
개업_율	0.000	0.011	0.319	0.319	0.000	0.000	1.000	0.303	0.287	0.060	0.000
개업_점포_수	0.000	0.054	0.482	0.482	0.515	0.569	0.303	1.000	0.000	0.690	0.452
폐업_률	0.000	0.029	0.160	0.160	0.000	0.000	0.287	0.000	1.000	0.171	0.000
폐업_점포_수	0.040	0.024	0.539	0.539	0.766	0.709	0.060	0.690	0.171	1.000	0.252
프랜차이즈_점포_수	0.000	0.000	0.646	0.646	0.222	0.256	0.000	0.452	0.000	0.252	1.000

Heatmap
Table

	상권_코드	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수	기준_년분기_코드
상권_코드	1.000	0.053	0.051	0.010	0.011	0.045	0.044	0.024	0.615
점포_수	0.053	1.000	0.950	0.331	0.368	0.366	0.403	0.266	0.007
유사_업종_점포_수	0.051	0.950	1.000	0.369	0.406	0.404	0.441	0.442	0.000
개업_율	0.010	0.331	0.369	1.000	0.990	0.279	0.302	0.313	0.000
개업_점포_수	0.011	0.368	0.406	0.990	1.000	0.308	0.340	0.345	0.000
폐업_률	0.045	0.366	0.404	0.279	0.308	1.000	0.977	0.268	0.000
폐업_점포_수	0.044	0.403	0.441	0.302	0.340	0.977	1.000	0.293	0.040
프랜차이즈_점포_수	0.024	0.266	0.442	0.313	0.345	0.268	0.293	1.000	0.000
기준_년분기_코드	0.615	0.007	0.000	0.000	0.000	0.000	0.040	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	기준_년분기_코드	상권_구분_코드	상권_구분_코드_명	상권_코드	상권_코드_명	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수
79540	20231	A	골목상권	3111033	문정동성당	CS300038	자동차부품	2	2	0	0	0	0	0
21040	20231	A	골목상권	3110273	장스여성병원	CS300016	안경	1	1	0	0	0	0	0
28680	20231	A	골목상권	3110376	수송초등학교	CS300028	화초	8	8	0	0	0	0	0
79098	20231	A	골목상권	3111028	문현중학교(장지역 1번)	CS100003	일식음식점	8	10	0	0	0	0	2
12943	20231	A	골목상권	3110171	중곡4동주민센터	CS300016	안경	2	3	0	0	0	0	1
19456	20231	A	골목상권	3110254	오거리공원	CS300015	가방	1	1	0	0	0	0	0
47894	20231	A	골목상권	3110628	신목동역	CS100002	중식음식점	2	2	0	0	0	0	0
32718	20231	A	골목상권	3110431	상계역	CS100009	호프-간이주점	26	26	4	1	4	1	0
95258	20232	A	골목상권	3110151	자양한강도서관	CS300008	수산물판매	7	7	0	0	0	0	0
5964	20231	A	골목상권	3110082	용산구청	CS200015	세무사사무소	3	3	0	0	0	0	0

	기준_년분기_코드	상권_구분_코드	상권_구분_코드_명	상권_코드	상권_코드_명	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수
40802	20231	A	골목상권	3110539	미근동	CS200022	복권방	1	1	100	1
36512	20231	A	골목상권	3110479	연신내역 2번	CS300011	일반의류	56	56	0	0
53107	20231	A	골목상권	3110696	오류동역 1번	CS200043	건축물청소	4	4	0	0
74630	20231	A	골목상권	3110970	학동초등학교	CS300042	주유소	1	1	0	0
10985	20231	A	골목상권	3110147	능동우편취급국	CS300042	주유소	2	2	0	0
74997	20231	A	골목상권	3110975	매봉역 1번	CS200017	골프연습장	1	1	0	0
34422	20231	A	골목상권	3110454	선정중학교	CS300020	서적	1	1	0	0
73877	20231	A	골목상권	3110962	도산공원북측	CS200013	기타법무서비스	1	1	0	0
71685	20231	A	골목상권	3110930	서초동성당	CS300039	모터사이클및부품	1	1	0	0
90057	20232	A	골목상권	3110083	서빙고역 1번	CS200043	건축물청소	1	1	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample