gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	113.0 B

Variable types

Categorical	1
Numeric	8
Text	3

Dataset

Description	기준_년분기_코드,행정동_코드,행정동_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-22172/S/1/datasetView.do

Alerts

`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
`점포_수` is highly skewed (γ1 = 21.49774588)	Skewed
`유사_업종_점포_수` is highly skewed (γ1 = 20.0830536)	Skewed
`점포_수` has 101 (1.0%) zeros	Zeros
`개업_율` has 8031 (80.3%) zeros	Zeros
`개업_점포_수` has 8025 (80.2%) zeros	Zeros
`폐업_률` has 7746 (77.5%) zeros	Zeros
`폐업_점포_수` has 7707 (77.1%) zeros	Zeros
`프랜차이즈_점포_수` has 7609 (76.1%) zeros	Zeros

Reproduction

Analysis started	2024-05-04 00:33:57.821213
Analysis finished	2024-05-04 00:34:20.151208
Duration	22.33 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기준_년분기_코드
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

20231	3537
20232	3501
20233	2962

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20233
2nd row	20232
3rd row	20233
4th row	20233
5th row	20231

Common Values

Value	Count	Frequency (%)
20231	3537	35.4%
20232	3501	35.0%
20233	2962	29.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20231	3537	35.4%
20232	3501	35.0%
20233	2962	29.6%

행정동_코드
Real number (ℝ)

Distinct	425
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11422713

Minimum	11110515
Maximum	11740700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	11110515
5-th percentile	11140590
Q1	11260600
median	11440565
Q3	11560720
95-th percentile	11710631
Maximum	11740700
Range	630185
Interquartile range (IQR)	300120

Descriptive statistics

Standard deviation	184649.65
Coefficient of variation (CV)	0.016165131
Kurtosis	-1.2101137
Mean	11422713
Median Absolute Deviation (MAD)	150040
Skewness	0.012013734
Sum	1.1422713 × 10¹¹
Variance	3.4095494 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11170530	40	0.4%
11440600	38	0.4%
11560690	37	0.4%
11110650	37	0.4%
11650510	37	0.4%
11140670	36	0.4%
11215820	36	0.4%
11200790	36	0.4%
11620575	35	0.4%
11545610	35	0.4%
Other values (415)	9633	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11110515	25	0.2%
11110530	21	0.2%
11110540	16	0.2%
11110550	18	0.2%
11110560	23	0.2%
11110570	23	0.2%
11110580	21	0.2%
11110600	22	0.2%
11110615	24	0.2%
11110630	25	0.2%

Value	Count	Frequency (%)
11740700	14	0.1%
11740690	6	0.1%
11740685	23	0.2%
11740660	17	0.2%
11740650	21	0.2%
11740640	18	0.2%
11740620	21	0.2%
11740610	14	0.1%
11740600	15	0.1%
11740590	10	0.1%

행정동_코드_명
Text

Distinct	424
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	11
Median length	4
Mean length	3.7878
Min length	2

Characters and Unicode

Total characters	37878
Distinct characters	188
Distinct categories	3 ?
Distinct scripts	2 ?
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	방화2동
2nd row	장위1동
3rd row	구의2동
4th row	전농2동
5th row	성현동

Value	Count	Frequency (%)
신사동	43	0.4%
남영동	40	0.4%
대흥동	38	0.4%
혜화동	37	0.4%
서초1동	37	0.4%
신길7동	37	0.4%
용답동	36	0.4%
황학동	36	0.4%
자양1동	36	0.4%
신수동	35	0.4%
Other values (414)	9625	96.2%

Most occurring characters

Value	Count	Frequency (%)
동	10059	26.6%
1	2270	6.0%
2	2186	5.8%
3	1004	2.7%
신	902	2.4%
4	638	1.7%
가	554	1.5%
산	430	1.1%
화	423	1.1%
곡	418	1.1%
Other values (178)	18994	50.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30848	81.4%
Decimal Number	6796	17.9%
Other Punctuation	234	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	10059	32.6%
신	902	2.9%
가	554	1.8%
산	430	1.4%
화	423	1.4%
곡	418	1.4%
계	402	1.3%
방	390	1.3%
성	370	1.2%
상	369	1.2%
Other values (167)	16531	53.6%

Decimal Number

Value	Count	Frequency (%)
1	2270	33.4%
2	2186	32.2%
3	1004	14.8%
4	638	9.4%
5	270	4.0%
6	169	2.5%
7	145	2.1%
8	76	1.1%
0	22	0.3%
9	16	0.2%

Other Punctuation

Value	Count	Frequency (%)
?	234	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30848	81.4%
Common	7030	18.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	10059	32.6%
신	902	2.9%
가	554	1.8%
산	430	1.4%
화	423	1.4%
곡	418	1.4%
계	402	1.3%
방	390	1.3%
성	370	1.2%
상	369	1.2%
Other values (167)	16531	53.6%

Common

Value	Count	Frequency (%)
1	2270	32.3%
2	2186	31.1%
3	1004	14.3%
4	638	9.1%
5	270	3.8%
?	234	3.3%
6	169	2.4%
7	145	2.1%
8	76	1.1%
0	22	0.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30848	81.4%
ASCII	7030	18.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	10059	32.6%
신	902	2.9%
가	554	1.8%
산	430	1.4%
화	423	1.4%
곡	418	1.4%
계	402	1.3%
방	390	1.3%
성	370	1.2%
상	369	1.2%
Other values (167)	16531	53.6%

ASCII

Value	Count	Frequency (%)
1	2270	32.3%
2	2186	31.1%
3	1004	14.3%
4	638	9.1%
5	270	3.8%
?	234	3.3%
6	169	2.4%
7	145	2.1%
8	76	1.1%
0	22	0.3%

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	CS300017
2nd row	CS100005
3rd row	CS300023
4th row	CS200045
5th row	CS200016

Value	Count	Frequency (%)
cs200031	152	1.5%
cs300011	141	1.4%
cs300028	139	1.4%
cs300035	135	1.4%
cs200002	132	1.3%
cs100004	127	1.3%
cs300018	127	1.3%
cs200032	126	1.3%
cs200008	126	1.3%
cs100006	126	1.3%
Other values (90)	8669	86.7%

Most occurring characters

Value	Count	Frequency (%)
0	33757	42.2%
C	10000	12.5%
S	10000	12.5%
3	7544	9.4%
2	7495	9.4%
1	4350	5.4%
4	2075	2.6%
6	1009	1.3%
7	987	1.2%
8	977	1.2%
Other values (2)	1806	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	33757	56.3%
3	7544	12.6%
2	7495	12.5%
1	4350	7.2%
4	2075	3.5%
6	1009	1.7%
7	987	1.6%
8	977	1.6%
5	931	1.6%
9	875	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	33757	56.3%
3	7544	12.6%
2	7495	12.5%
1	4350	7.2%
4	2075	3.5%
6	1009	1.7%
7	987	1.6%
8	977	1.6%
5	931	1.6%
9	875	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	33757	42.2%
C	10000	12.5%
S	10000	12.5%
3	7544	9.4%
2	7495	9.4%
1	4350	5.4%
4	2075	2.6%
6	1009	1.3%
7	987	1.2%
8	977	1.2%
Other values (2)	1806	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	4.3827
Min length	2

Characters and Unicode

Total characters	43827
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	시계및귀금속
2nd row	제과점
3rd row	미용재료
4th row	비디오/서적임대
5th row	당구장

Value	Count	Frequency (%)
세탁소	152	1.5%
일반의류	141	1.4%
화초	139	1.3%
인테리어	135	1.3%
외국어학원	132	1.3%
양식음식점	127	1.2%
의약품	127	1.2%
가전제품수리	126	1.2%
한의원	126	1.2%
패스트푸드점	126	1.2%
Other values (94)	9034	87.2%

Most occurring characters

Value	Count	Frequency (%)
점	1420	3.2%
품	1279	2.9%
식	1050	2.4%
의	1018	2.3%
사	1014	2.3%
원	895	2.0%
기	835	1.9%
동	780	1.8%
용	751	1.7%
장	703	1.6%
Other values (153)	34082	77.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	42735	97.5%
Space Separator	365	0.8%
Uppercase Letter	332	0.8%
Dash Punctuation	231	0.5%
Other Punctuation	164	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	1420	3.3%
품	1279	3.0%
식	1050	2.5%
의	1018	2.4%
사	1014	2.4%
원	895	2.1%
기	835	2.0%
동	780	1.8%
용	751	1.8%
장	703	1.6%
Other values (146)	32990	77.2%

Uppercase Letter

Value	Count	Frequency (%)
P	103	31.0%
C	103	31.0%
D	84	25.3%
V	42	12.7%

Space Separator

Value	Count	Frequency (%)
	365	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	231	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	42735	97.5%
Common	760	1.7%
Latin	332	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	1420	3.3%
품	1279	3.0%
식	1050	2.5%
의	1018	2.4%
사	1014	2.4%
원	895	2.1%
기	835	2.0%
동	780	1.8%
용	751	1.8%
장	703	1.6%
Other values (146)	32990	77.2%

Latin

Value	Count	Frequency (%)
P	103	31.0%
C	103	31.0%
D	84	25.3%
V	42	12.7%

Common

Value	Count	Frequency (%)
	365	48.0%
-	231	30.4%
/	164	21.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	42735	97.5%
ASCII	1092	2.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
점	1420	3.3%
품	1279	3.0%
식	1050	2.5%
의	1018	2.4%
사	1014	2.4%
원	895	2.1%
기	835	2.0%
동	780	1.8%
용	751	1.8%
장	703	1.6%
Other values (146)	32990	77.2%

ASCII

Value	Count	Frequency (%)
	365	33.4%
-	231	21.2%
/	164	15.0%
P	103	9.4%
C	103	9.4%
D	84	7.7%
V	42	3.8%

점포_수
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	227
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.0646

Minimum	0
Maximum	2166
Zeros	101
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	6
Q3	13
95-th percentile	57
Maximum	2166
Range	2166
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	42.261044
Coefficient of variation (CV)	2.8053213
Kurtosis	871.56398
Mean	15.0646
Median Absolute Deviation (MAD)	4
Skewness	21.497746
Sum	150646
Variance	1785.9958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1460	14.6%
2	1061	10.6%
3	885	8.8%
4	744	7.4%
5	647	6.5%
6	575	5.8%
7	432	4.3%
8	353	3.5%
9	323	3.2%
10	297	3.0%
Other values (217)	3223	32.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	101	1.0%
1	1460	14.6%
2	1061	10.6%
3	885	8.8%
4	744	7.4%
5	647	6.5%
6	575	5.8%
7	432	4.3%
8	353	3.5%
9	323	3.2%

Value	Count	Frequency (%)
2166	1	< 0.1%
1539	1	< 0.1%
745	1	< 0.1%
600	1	< 0.1%
529	1	< 0.1%
522	1	< 0.1%
486	1	< 0.1%
464	1	< 0.1%
441	1	< 0.1%
437	1	< 0.1%

유사_업종_점포_수
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	236
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.2906

Minimum	0
Maximum	2167
Zeros	37
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	15
95-th percentile	61
Maximum	2167
Range	2167
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	43.445215
Coefficient of variation (CV)	2.6668886
Kurtosis	781.76461
Mean	16.2906
Median Absolute Deviation (MAD)	4
Skewness	20.083054
Sum	162906
Variance	1887.4867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1391	13.9%
2	996	10.0%
3	847	8.5%
4	695	7.0%
5	610	6.1%
6	541	5.4%
7	448	4.5%
8	378	3.8%
9	312	3.1%
10	292	2.9%
Other values (226)	3490	34.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	0.4%
1	1391	13.9%
2	996	10.0%
3	847	8.5%
4	695	7.0%
5	610	6.1%
6	541	5.4%
7	448	4.5%
8	378	3.8%
9	312	3.1%

Value	Count	Frequency (%)
2167	1	< 0.1%
1539	1	< 0.1%
747	1	< 0.1%
604	1	< 0.1%
529	1	< 0.1%
522	1	< 0.1%
489	1	< 0.1%
468	1	< 0.1%
441	1	< 0.1%
437	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	2.2904

Minimum	0
Maximum	100
Zeros	8031
Zeros (%)	80.3%
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	13
Maximum	100
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.9824708
Coefficient of variation (CV)	3.4851863
Kurtosis	73.469595
Mean	2.2904
Median Absolute Deviation (MAD)	0
Skewness	7.3578666
Sum	22904
Variance	63.71984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	8031	80.3%
4	199	2.0%
3	172	1.7%
5	151	1.5%
6	150	1.5%
8	135	1.4%
2	133	1.3%
7	125	1.2%
13	93	0.9%
9	87	0.9%
Other values (27)	724	7.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8031	80.3%
1	77	0.8%
2	133	1.3%
3	172	1.7%
4	199	2.0%
5	151	1.5%
6	150	1.5%
7	125	1.2%
8	135	1.4%
9	87	0.9%

Value	Count	Frequency (%)
100	30	0.3%
67	1	< 0.1%
50	48	0.5%
45	1	< 0.1%
43	1	< 0.1%
41	1	< 0.1%
40	6	0.1%
36	1	< 0.1%
33	46	0.5%
31	2	< 0.1%

개업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	23
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3661

Minimum	0
Maximum	22
Zeros	8025
Zeros (%)	80.2%
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	22
Range	22
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.171925
Coefficient of variation (CV)	3.2011062
Kurtosis	96.506714
Mean	0.3661
Median Absolute Deviation (MAD)	0
Skewness	7.9700326
Sum	3661
Variance	1.3734081
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	8025	80.2%
1	1289	12.9%
2	358	3.6%
3	142	1.4%
4	72	0.7%
5	39	0.4%
6	22	0.2%
7	12	0.1%
9	7	0.1%
8	5	0.1%
Other values (13)	29	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8025	80.2%
1	1289	12.9%
2	358	3.6%
3	142	1.4%
4	72	0.7%
5	39	0.4%
6	22	0.2%
7	12	0.1%
8	5	0.1%
9	7	0.1%

Value	Count	Frequency (%)
22	1	< 0.1%
21	1	< 0.1%
20	2	< 0.1%
19	2	< 0.1%
18	1	< 0.1%
17	2	< 0.1%
16	3	< 0.1%
15	1	< 0.1%
14	3	< 0.1%
13	4	< 0.1%

폐업_률
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	41
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6367

Minimum	0
Maximum	200
Zeros	7746
Zeros (%)	77.5%
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	14
Maximum	200
Range	200
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.7287417
Coefficient of variation (CV)	3.3104797
Kurtosis	82.55681
Mean	2.6367
Median Absolute Deviation (MAD)	0
Skewness	7.4634153
Sum	26367
Variance	76.190932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	7746	77.5%
4	217	2.2%
5	208	2.1%
3	205	2.1%
6	198	2.0%
2	166	1.7%
8	164	1.6%
7	134	1.3%
14	107	1.1%
10	94	0.9%
Other values (31)	761	7.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7746	77.5%
1	61	0.6%
2	166	1.7%
3	205	2.1%
4	217	2.2%
5	208	2.1%
6	198	2.0%
7	134	1.3%
8	164	1.6%
9	86	0.9%

Value	Count	Frequency (%)
200	1	< 0.1%
100	33	0.3%
75	2	< 0.1%
67	3	< 0.1%
57	1	< 0.1%
50	49	0.5%
43	1	< 0.1%
40	4	< 0.1%
38	2	< 0.1%
36	1	< 0.1%

폐업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	27
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4851

Minimum	0
Maximum	38
Zeros	7707
Zeros (%)	77.1%
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	38
Range	38
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.5312781
Coefficient of variation (CV)	3.1566235
Kurtosis	109.95745
Mean	0.4851
Median Absolute Deviation (MAD)	0
Skewness	8.2645559
Sum	4851
Variance	2.3448125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0	7707	77.1%
1	1410	14.1%
2	414	4.1%
3	162	1.6%
4	115	1.1%
5	57	0.6%
6	29	0.3%
7	27	0.3%
8	16	0.2%
10	15	0.1%
Other values (17)	48	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7707	77.1%
1	1410	14.1%
2	414	4.1%
3	162	1.6%
4	115	1.1%
5	57	0.6%
6	29	0.3%
7	27	0.3%
8	16	0.2%
9	7	0.1%

Value	Count	Frequency (%)
38	1	< 0.1%
29	1	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
22	3	< 0.1%
21	2	< 0.1%
20	2	< 0.1%
19	1	< 0.1%
18	2	< 0.1%
17	1	< 0.1%

프랜차이즈_점포_수
Real number (ℝ)

ZEROS

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.226

Minimum	0
Maximum	133
Zeros	7609
Zeros (%)	76.1%
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	6
Maximum	133
Range	133
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.8210215
Coefficient of variation (CV)	3.9323177
Kurtosis	182.47596
Mean	1.226
Median Absolute Deviation (MAD)	0
Skewness	10.607273
Sum	12260
Variance	23.242248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7609	76.1%
1	919	9.2%
2	376	3.8%
3	243	2.4%
4	156	1.6%
5	114	1.1%
6	92	0.9%
7	71	0.7%
9	53	0.5%
8	47	0.5%
Other values (49)	320	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7609	76.1%
1	919	9.2%
2	376	3.8%
3	243	2.4%
4	156	1.6%
5	114	1.1%
6	92	0.9%
7	71	0.7%
8	47	0.5%
9	53	0.5%

Value	Count	Frequency (%)
133	1	< 0.1%
126	1	< 0.1%
108	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
70	1	< 0.1%
68	2	< 0.1%
67	1	< 0.1%
59	1	< 0.1%
57	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	기준_년분기_코드	행정동_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	0.270	0.000	0.000	0.000	0.000	0.013	0.052	0.000	0.050	0.041
행정동_코드	0.270	1.000	0.030	0.030	0.043	0.046	0.020	0.058	0.022	0.033	0.030
서비스_업종_코드	0.000	0.030	1.000	1.000	0.313	0.327	0.348	0.449	0.135	0.519	0.554
서비스_업종_코드_명	0.000	0.030	1.000	1.000	0.313	0.327	0.348	0.449	0.135	0.519	0.554
점포_수	0.000	0.043	0.313	0.313	1.000	1.000	0.000	0.565	0.000	0.877	0.225
유사_업종_점포_수	0.000	0.046	0.327	0.327	1.000	1.000	0.000	0.575	0.000	0.882	0.255
개업_율	0.013	0.020	0.348	0.348	0.000	0.000	1.000	0.170	0.202	0.000	0.000
개업_점포_수	0.052	0.058	0.449	0.449	0.565	0.575	0.170	1.000	0.000	0.606	0.550
폐업_률	0.000	0.022	0.135	0.135	0.000	0.000	0.202	0.000	1.000	0.000	0.000
폐업_점포_수	0.050	0.033	0.519	0.519	0.877	0.882	0.000	0.606	0.000	1.000	0.393
프랜차이즈_점포_수	0.041	0.030	0.554	0.554	0.225	0.255	0.000	0.550	0.000	0.393	1.000

Heatmap
Table

	행정동_코드	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수	기준_년분기_코드
행정동_코드	1.000	0.062	0.067	0.036	0.040	0.037	0.043	0.046	0.167
점포_수	0.062	1.000	0.960	0.354	0.405	0.391	0.444	0.317	0.000
유사_업종_점포_수	0.067	0.960	1.000	0.388	0.441	0.423	0.477	0.468	0.000
개업_율	0.036	0.354	0.388	1.000	0.985	0.317	0.341	0.333	0.010
개업_점포_수	0.040	0.405	0.441	0.985	1.000	0.348	0.389	0.376	0.032
폐업_률	0.037	0.391	0.423	0.317	0.348	1.000	0.970	0.298	0.000
폐업_점포_수	0.043	0.444	0.477	0.341	0.389	0.970	1.000	0.334	0.022
프랜차이즈_점포_수	0.046	0.317	0.468	0.333	0.376	0.298	0.334	1.000	0.018
기준_년분기_코드	0.167	0.000	0.000	0.010	0.032	0.000	0.022	0.018	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	행정동_코드	행정동_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
91887	20233	11500640	방화2동	CS300017	시계및귀금속	10	12	0	0	0	0	2
45611	20232	11290760	장위1동	CS100005	제과점	6	8	0	0	0	0	2
77000	20233	11215860	구의2동	CS300023	미용재료	2	2	0	0	0	0	0
77428	20233	11230570	전농2동	CS200045	비디오/서적임대	1	1	0	0	0	0	0
26567	20231	11620565	성현동	CS200016	당구장	2	2	0	0	0	0	0
89315	20233	11470560	신월1동	CS300031	가구	5	5	0	0	20	1	0
1484	20231	11140550	명동	CS200042	통번역서비스	27	27	0	0	0	0	0
65305	20232	11680531	논현2동	CS300031	가구	64	64	2	1	2	1	0
90855	20233	11500560	화곡3동	CS300018	의약품	17	18	0	0	0	0	1
73717	20233	11170590	용문동	CS200017	골프연습장	1	1	0	0	0	0	0

	기준_년분기_코드	행정동_코드	행정동_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
28407	20231	11650530	서초3동	CS300004	핸드폰	21	21	0	0	0	0	0
65355	20232	11680545	압구정동	CS200032	가전제품수리	5	5	0	0	0	0	0
18706	20231	11470560	신월1동	CS300025	자전거 및 기타운송장비	2	2	0	0	0	0	0
11049	20231	11305595	번1동	CS100009	호프-간이주점	32	32	3	1	3	1	0
12489	20231	11320680	쌍문3동	CS300009	청과상	8	8	13	1	13	1	0
10131	20231	11290715	월곡1동	CS100003	일식음식점	7	8	0	0	13	1	1
22963	20231	11545620	독산2동	CS200017	골프연습장	1	1	0	0	0	0	0
98164	20233	11620685	신사동	CS300035	인테리어	18	18	6	1	0	0	0
94660	20233	11560585	도림동	CS100008	분식전문점	11	14	0	0	0	0	3
49455	20232	11350700	상계8동	CS300006	미곡판매	3	3	0	0	0	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

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