gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	149.0 B

Variable types

Categorical	1
Text	3
Numeric	12

Dataset

Description	KOSIS에서 서비스 중인 국가승인통계표가 2020년에 얼마만큼 활용이 되었는지를 알 수 있는 이용 건수를 제공. 이용 건수는 KOSIS 홈페이지의 통계표 조회 화면을 통해서 호출한 것과 openAPI를 통해서 호출한것을 모두 합한 수치임
Author	통계청
URL	https://www.data.go.kr/data/15085089/fileData.do

Alerts

`연도` has constant value ""	Constant
`1월` is highly overall correlated with `2월` and 10 other fields	High correlation
`2월` is highly overall correlated with `1월` and 10 other fields	High correlation
`3월` is highly overall correlated with `1월` and 10 other fields	High correlation
`4월` is highly overall correlated with `1월` and 10 other fields	High correlation
`5월` is highly overall correlated with `1월` and 10 other fields	High correlation
`6월` is highly overall correlated with `1월` and 10 other fields	High correlation
`7월` is highly overall correlated with `1월` and 9 other fields	High correlation
`8월` is highly overall correlated with `1월` and 9 other fields	High correlation
`9월` is highly overall correlated with `1월` and 10 other fields	High correlation
`10월` is highly overall correlated with `1월` and 10 other fields	High correlation
`11월` is highly overall correlated with `1월` and 10 other fields	High correlation
`12월` is highly overall correlated with `1월` and 10 other fields	High correlation
`1월` is highly skewed (γ1 = 43.1144081)	Skewed
`2월` is highly skewed (γ1 = 48.02408506)	Skewed
`3월` is highly skewed (γ1 = 43.44414135)	Skewed
`4월` is highly skewed (γ1 = 39.88101685)	Skewed
`5월` is highly skewed (γ1 = 43.39733756)	Skewed
`6월` is highly skewed (γ1 = 44.10672573)	Skewed
`7월` is highly skewed (γ1 = 37.17971987)	Skewed
`8월` is highly skewed (γ1 = 35.0827033)	Skewed
`9월` is highly skewed (γ1 = 35.07355035)	Skewed
`10월` is highly skewed (γ1 = 50.29731994)	Skewed
`11월` is highly skewed (γ1 = 38.53931857)	Skewed
`12월` is highly skewed (γ1 = 92.05531028)	Skewed
`1월` has 5706 (57.1%) zeros	Zeros
`2월` has 5575 (55.8%) zeros	Zeros
`3월` has 5655 (56.5%) zeros	Zeros
`4월` has 5433 (54.3%) zeros	Zeros
`5월` has 5011 (50.1%) zeros	Zeros
`6월` has 4378 (43.8%) zeros	Zeros
`7월` has 4115 (41.1%) zeros	Zeros
`8월` has 3933 (39.3%) zeros	Zeros
`9월` has 4590 (45.9%) zeros	Zeros
`10월` has 4825 (48.2%) zeros	Zeros
`11월` has 4808 (48.1%) zeros	Zeros
`12월` has 4675 (46.8%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 01:49:33.954432
Analysis finished	2023-12-12 01:49:56.668458
Duration	22.71 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연도
Categorical

CONSTANT

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

2020	10000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020
2nd row	2020
3rd row	2020
4th row	2020
5th row	2020

Common Values

Value	Count	Frequency (%)
2020	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2020	10000	100.0%

통계명
Text

Distinct	911
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	28
Median length	24
Mean length	9.2377
Min length	2

Characters and Unicode

Total characters	92377
Distinct characters	370
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	149 ?
Unique (%)	1.5%

Sample

1st row	청소년건강행태조사
2nd row	의료기기생산실적
3rd row	전라남도기본통계
4th row	울산광역시울주군기본통계
5th row	중소기업정보화수준조사

Value	Count	Frequency (%)
중소기업기술통계조사	173	1.7%
실태조사	153	1.5%
한국기업혁신조사	152	1.5%
지방세통계	150	1.4%
경상남도사회조사	146	1.4%
스마트폰	133	1.3%
과의존	133	1.3%
임업경영실태조사	119	1.1%
중소기업정보화수준조사	112	1.1%
인구총조사	107	1.0%
Other values (911)	8971	86.7%

Most occurring characters

Value	Count	Frequency (%)
사	6664	7.2%
조	5350	5.8%
기	4825	5.2%
계	4819	5.2%
통	4810	5.2%
본	3107	3.4%
도	3026	3.3%
시	2841	3.1%
실	2153	2.3%
태	2114	2.3%
Other values (360)	52668	57.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	91304	98.8%
Space Separator	349	0.4%
Uppercase Letter	280	0.3%
Lowercase Letter	212	0.2%
Close Punctuation	61	0.1%
Open Punctuation	61	0.1%
Other Punctuation	56	0.1%
Decimal Number	38	< 0.1%
Dash Punctuation	16	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
사	6664	7.3%
조	5350	5.9%
기	4825	5.3%
계	4819	5.3%
통	4810	5.3%
본	3107	3.4%
도	3026	3.3%
시	2841	3.1%
실	2153	2.4%
태	2114	2.3%
Other values (324)	51595	56.5%

Uppercase Letter

Value	Count	Frequency (%)
W	48	17.1%
I	31	11.1%
N	29	10.4%
U	29	10.4%
B	28	10.0%
C	27	9.6%
S	22	7.9%
T	20	7.1%
F	12	4.3%
M	11	3.9%
Other values (4)	23	8.2%

Lowercase Letter

Value	Count	Frequency (%)
a	28	13.2%
n	28	13.2%
k	28	13.2%
d	28	13.2%
r	28	13.2%
o	28	13.2%
l	28	13.2%
e	16	7.5%

Decimal Number

Value	Count	Frequency (%)
1	22	57.9%
9	6	15.8%
0	4	10.5%
3	2	5.3%
8	2	5.3%
2	2	5.3%

Other Punctuation

Value	Count	Frequency (%)
·	24	42.9%
/	11	19.6%
.	11	19.6%
:	10	17.9%

Space Separator

Value	Count	Frequency (%)
	349	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	61	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	61	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	91304	98.8%
Common	581	0.6%
Latin	492	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
사	6664	7.3%
조	5350	5.9%
기	4825	5.3%
계	4819	5.3%
통	4810	5.3%
본	3107	3.4%
도	3026	3.3%
시	2841	3.1%
실	2153	2.4%
태	2114	2.3%
Other values (324)	51595	56.5%

Latin

Value	Count	Frequency (%)
W	48	9.8%
I	31	6.3%
N	29	5.9%
U	29	5.9%
B	28	5.7%
a	28	5.7%
n	28	5.7%
k	28	5.7%
d	28	5.7%
r	28	5.7%
Other values (12)	187	38.0%

Common

Value	Count	Frequency (%)
	349	60.1%
)	61	10.5%
(	61	10.5%
·	24	4.1%
1	22	3.8%
-	16	2.8%
/	11	1.9%
.	11	1.9%
:	10	1.7%
9	6	1.0%
Other values (4)	10	1.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	91304	98.8%
ASCII	1049	1.1%
None	24	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
사	6664	7.3%
조	5350	5.9%
기	4825	5.3%
계	4819	5.3%
통	4810	5.3%
본	3107	3.4%
도	3026	3.3%
시	2841	3.1%
실	2153	2.4%
태	2114	2.3%
Other values (324)	51595	56.5%

ASCII

Value	Count	Frequency (%)
	349	33.3%
)	61	5.8%
(	61	5.8%
W	48	4.6%
I	31	3.0%
N	29	2.8%
U	29	2.8%
B	28	2.7%
a	28	2.7%
n	28	2.7%
Other values (25)	357	34.0%

None

Value	Count	Frequency (%)
·	24	100.0%

기관명
Text

Distinct	343
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	18
Median length	15
Mean length	6.402
Min length	3

Characters and Unicode

Total characters	64020
Distinct characters	227
Distinct categories	4 ?
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	17 ?
Unique (%)	0.2%

Sample

1st row	보건복지부
2nd row	식품의약품안전처
3rd row	전라남도
4th row	울산광역시 울주군
5th row	중소기업기술정보진흥원

Value	Count	Frequency (%)
통계청	884	6.7%
경기도	634	4.8%
경상북도	578	4.4%
경상남도	549	4.2%
여성가족부	475	3.6%
문화체육관광부	417	3.2%
중소벤처기업부	409	3.1%
충청남도	403	3.1%
강원도	389	2.9%
과학기술정보통신부	318	2.4%
Other values (315)	8143	61.7%

Most occurring characters

Value	Count	Frequency (%)
도	3555	5.6%
	3199	5.0%
부	3003	4.7%
시	2742	4.3%
청	2130	3.3%
경	1916	3.0%
기	1882	2.9%
광	1735	2.7%
통	1641	2.6%
원	1474	2.3%
Other values (217)	40743	63.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	60813	95.0%
Space Separator	3199	5.0%
Open Punctuation	4	< 0.1%
Close Punctuation	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	3555	5.8%
부	3003	4.9%
시	2742	4.5%
청	2130	3.5%
경	1916	3.2%
기	1882	3.1%
광	1735	2.9%
통	1641	2.7%
원	1474	2.4%
남	1395	2.3%
Other values (214)	39340	64.7%

Space Separator

Value	Count	Frequency (%)
	3199	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	60813	95.0%
Common	3207	5.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	3555	5.8%
부	3003	4.9%
시	2742	4.5%
청	2130	3.5%
경	1916	3.2%
기	1882	3.1%
광	1735	2.9%
통	1641	2.7%
원	1474	2.4%
남	1395	2.3%
Other values (214)	39340	64.7%

Common

Value	Count	Frequency (%)
	3199	99.8%
(	4	0.1%
)	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	60813	95.0%
ASCII	3207	5.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
도	3555	5.8%
부	3003	4.9%
시	2742	4.5%
청	2130	3.5%
경	1916	3.2%
기	1882	3.1%
광	1735	2.9%
통	1641	2.7%
원	1474	2.4%
남	1395	2.3%
Other values (214)	39340	64.7%

ASCII

Value	Count	Frequency (%)
	3199	99.8%
(	4	0.1%
)	4	0.1%

통계표번호
Text

Distinct	9997
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	25
Median length	22
Mean length	14.5503
Min length	5

Characters and Unicode

Total characters	145503
Distinct characters	37
Distinct categories	3 ?
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	9994 ?
Unique (%)	99.9%

Sample

1st row	DT_117_12_Y009
2nd row	DT_14508_017
3rd row	DT_A07A
4th row	DT_605001_K009
5th row	TX_398010143

Value	Count	Frequency (%)
dt_1e00005	2	< 0.1%
dt_631003_005	2	< 0.1%
dt_1e00029	2	< 0.1%
dt_33109_n088	1	< 0.1%
dt_71105_19_e03	1	< 0.1%
dt_202005y2019n008	1	< 0.1%
dt_72001_e005	1	< 0.1%
dt_moge_15000001048	1	< 0.1%
dt_117_12_y009	1	< 0.1%
dt_68001_e000071	1	< 0.1%
Other values (9987)	9987	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	30415	20.9%
_	19978	13.7%
1	18215	12.5%
T	10493	7.2%
2	9294	6.4%
D	9014	6.2%
3	7101	4.9%
6	4929	3.4%
5	4765	3.3%
7	4472	3.1%
Other values (27)	26827	18.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	90230	62.0%
Uppercase Letter	35295	24.3%
Connector Punctuation	19978	13.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	10493	29.7%
D	9014	25.5%
A	2509	7.1%
N	1604	4.5%
E	1367	3.9%
X	1279	3.6%
B	1169	3.3%
M	976	2.8%
S	929	2.6%
G	809	2.3%
Other values (16)	5146	14.6%

Decimal Number

Value	Count	Frequency (%)
0	30415	33.7%
1	18215	20.2%
2	9294	10.3%
3	7101	7.9%
6	4929	5.5%
5	4765	5.3%
7	4472	5.0%
4	4231	4.7%
9	3613	4.0%
8	3195	3.5%

Connector Punctuation

Value	Count	Frequency (%)
_	19978	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110208	75.7%
Latin	35295	24.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	10493	29.7%
D	9014	25.5%
A	2509	7.1%
N	1604	4.5%
E	1367	3.9%
X	1279	3.6%
B	1169	3.3%
M	976	2.8%
S	929	2.6%
G	809	2.3%
Other values (16)	5146	14.6%

Common

Value	Count	Frequency (%)
0	30415	27.6%
_	19978	18.1%
1	18215	16.5%
2	9294	8.4%
3	7101	6.4%
6	4929	4.5%
5	4765	4.3%
7	4472	4.1%
4	4231	3.8%
9	3613	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145503	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	30415	20.9%
_	19978	13.7%
1	18215	12.5%
T	10493	7.2%
2	9294	6.4%
D	9014	6.2%
3	7101	4.9%
6	4929	3.4%
5	4765	3.3%
7	4472	3.1%
Other values (27)	26827	18.4%

1월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	216
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.3712

Minimum	0
Maximum	10559
Zeros	5706
Zeros (%)	57.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	20
Maximum	10559
Range	10559
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	151.09908
Coefficient of variation (CV)	13.287874
Kurtosis	2569.5041
Mean	11.3712
Median Absolute Deviation (MAD)	0
Skewness	43.114408
Sum	113712
Variance	22830.931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5706	57.1%
1	1256	12.6%
2	734	7.3%
3	438	4.4%
4	291	2.9%
5	221	2.2%
6	151	1.5%
7	121	1.2%
8	102	1.0%
9	82	0.8%
Other values (206)	898	9.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5706	57.1%
1	1256	12.6%
2	734	7.3%
3	438	4.4%
4	291	2.9%
5	221	2.2%
6	151	1.5%
7	121	1.2%
8	102	1.0%
9	82	0.8%

Value	Count	Frequency (%)
10559	1	< 0.1%
4416	1	< 0.1%
3558	1	< 0.1%
3533	1	< 0.1%
3292	1	< 0.1%
2845	1	< 0.1%
2583	1	< 0.1%
2136	1	< 0.1%
2132	1	< 0.1%
2075	1	< 0.1%

2월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	206
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.7942

Minimum	0
Maximum	12041
Zeros	5575
Zeros (%)	55.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	21
Maximum	12041
Range	12041
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	162.48161
Coefficient of variation (CV)	13.776399
Kurtosis	3154.8366
Mean	11.7942
Median Absolute Deviation (MAD)	0
Skewness	48.024085
Sum	117942
Variance	26400.272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5575	55.8%
1	1349	13.5%
2	852	8.5%
3	440	4.4%
4	292	2.9%
5	185	1.8%
6	143	1.4%
7	106	1.1%
8	84	0.8%
9	76	0.8%
Other values (196)	898	9.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5575	55.8%
1	1349	13.5%
2	852	8.5%
3	440	4.4%
4	292	2.9%
5	185	1.8%
6	143	1.4%
7	106	1.1%
8	84	0.8%
9	76	0.8%

Value	Count	Frequency (%)
12041	1	< 0.1%
4523	1	< 0.1%
3948	1	< 0.1%
3213	1	< 0.1%
2842	1	< 0.1%
2666	1	< 0.1%
2585	1	< 0.1%
2521	1	< 0.1%
2417	1	< 0.1%
2028	1	< 0.1%

3월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	244
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.0577

Minimum	0
Maximum	13665
Zeros	5655
Zeros (%)	56.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	29
Maximum	13665
Range	13665
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	192.88551
Coefficient of variation (CV)	12.809759
Kurtosis	2661.2418
Mean	15.0577
Median Absolute Deviation (MAD)	0
Skewness	43.444141
Sum	150577
Variance	37204.819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5655	56.5%
1	1243	12.4%
2	632	6.3%
3	426	4.3%
4	276	2.8%
5	183	1.8%
6	150	1.5%
7	133	1.3%
8	97	1.0%
9	83	0.8%
Other values (234)	1122	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5655	56.5%
1	1243	12.4%
2	632	6.3%
3	426	4.3%
4	276	2.8%
5	183	1.8%
6	150	1.5%
7	133	1.3%
8	97	1.0%
9	83	0.8%

Value	Count	Frequency (%)
13665	1	< 0.1%
4871	1	< 0.1%
4844	1	< 0.1%
3773	1	< 0.1%
3755	1	< 0.1%
3660	1	< 0.1%
3114	1	< 0.1%
3046	1	< 0.1%
2805	1	< 0.1%
2659	1	< 0.1%

4월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	268
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.7053

Minimum	0
Maximum	12448
Zeros	5433
Zeros (%)	54.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	34
Maximum	12448
Range	12448
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	185.31957
Coefficient of variation (CV)	11.799811
Kurtosis	2236.0536
Mean	15.7053
Median Absolute Deviation (MAD)	0
Skewness	39.881017
Sum	157053
Variance	34343.343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5433	54.3%
1	1305	13.1%
2	734	7.3%
3	422	4.2%
4	258	2.6%
5	205	2.1%
6	155	1.6%
7	126	1.3%
8	88	0.9%
9	85	0.9%
Other values (258)	1189	11.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5433	54.3%
1	1305	13.1%
2	734	7.3%
3	422	4.2%
4	258	2.6%
5	205	2.1%
6	155	1.6%
7	126	1.3%
8	88	0.9%
9	85	0.9%

Value	Count	Frequency (%)
12448	1	< 0.1%
5654	1	< 0.1%
4713	1	< 0.1%
3909	1	< 0.1%
3665	1	< 0.1%
3629	1	< 0.1%
3145	1	< 0.1%
2992	1	< 0.1%
2618	1	< 0.1%
2544	1	< 0.1%

5월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	276
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.9109

Minimum	0
Maximum	13782
Zeros	5011
Zeros (%)	50.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	38.05
Maximum	13782
Range	13782
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	194.09447
Coefficient of variation (CV)	11.477477
Kurtosis	2675.1258
Mean	16.9109
Median Absolute Deviation (MAD)	0
Skewness	43.397338
Sum	169109
Variance	37672.663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5011	50.1%
1	1512	15.1%
2	748	7.5%
3	424	4.2%
4	286	2.9%
5	179	1.8%
7	160	1.6%
6	152	1.5%
8	126	1.3%
10	88	0.9%
Other values (266)	1314	13.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5011	50.1%
1	1512	15.1%
2	748	7.5%
3	424	4.2%
4	286	2.9%
5	179	1.8%
6	152	1.5%
7	160	1.6%
8	126	1.3%
9	87	0.9%

Value	Count	Frequency (%)
13782	1	< 0.1%
5050	1	< 0.1%
4391	1	< 0.1%
3787	1	< 0.1%
3752	1	< 0.1%
3466	1	< 0.1%
3287	1	< 0.1%
3218	1	< 0.1%
3064	1	< 0.1%
2889	1	< 0.1%

6월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	277
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.9682

Minimum	0
Maximum	14568
Zeros	4378
Zeros (%)	43.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	41
Maximum	14568
Range	14568
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	204.24237
Coefficient of variation (CV)	11.36688
Kurtosis	2735.1278
Mean	17.9682
Median Absolute Deviation (MAD)	1
Skewness	44.106726
Sum	179682
Variance	41714.947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4378	43.8%
1	1279	12.8%
2	921	9.2%
3	651	6.5%
4	423	4.2%
5	273	2.7%
6	224	2.2%
7	156	1.6%
8	143	1.4%
9	101	1.0%
Other values (267)	1451	14.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4378	43.8%
1	1279	12.8%
2	921	9.2%
3	651	6.5%
4	423	4.2%
5	273	2.7%
6	224	2.2%
7	156	1.6%
8	143	1.4%
9	101	1.0%

Value	Count	Frequency (%)
14568	1	< 0.1%
5803	1	< 0.1%
4812	1	< 0.1%
3961	1	< 0.1%
3637	1	< 0.1%
3620	1	< 0.1%
3592	1	< 0.1%
2927	1	< 0.1%
2895	1	< 0.1%
2861	1	< 0.1%

7월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	248
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.3735

Minimum	0
Maximum	10715
Zeros	4115
Zeros (%)	41.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	33
Maximum	10715
Range	10715
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	180.51108
Coefficient of variation (CV)	11.741704
Kurtosis	1804.2542
Mean	15.3735
Median Absolute Deviation (MAD)	1
Skewness	37.17972
Sum	153735
Variance	32584.25
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4115	41.1%
1	2105	21.1%
2	1038	10.4%
3	468	4.7%
4	308	3.1%
5	201	2.0%
6	171	1.7%
7	130	1.3%
8	113	1.1%
9	95	0.9%
Other values (238)	1256	12.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4115	41.1%
1	2105	21.1%
2	1038	10.4%
3	468	4.7%
4	308	3.1%
5	201	2.0%
6	171	1.7%
7	130	1.3%
8	113	1.1%
9	95	0.9%

Value	Count	Frequency (%)
10715	1	< 0.1%
8338	1	< 0.1%
4481	1	< 0.1%
3844	1	< 0.1%
3541	1	< 0.1%
3390	1	< 0.1%
2957	1	< 0.1%
2904	1	< 0.1%
2880	1	< 0.1%
2820	1	< 0.1%

8월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	231
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.9623

Minimum	0
Maximum	9114
Zeros	3933
Zeros (%)	39.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	27
Maximum	9114
Range	9114
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	147.49609
Coefficient of variation (CV)	11.378852
Kurtosis	1704.2757
Mean	12.9623
Median Absolute Deviation (MAD)	1
Skewness	35.082703
Sum	129623
Variance	21755.096
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3933	39.3%
1	2446	24.5%
2	938	9.4%
3	515	5.1%
4	323	3.2%
5	220	2.2%
6	175	1.8%
7	136	1.4%
8	134	1.3%
9	91	0.9%
Other values (221)	1089	10.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3933	39.3%
1	2446	24.5%
2	938	9.4%
3	515	5.1%
4	323	3.2%
5	220	2.2%
6	175	1.8%
7	136	1.4%
8	134	1.3%
9	91	0.9%

Value	Count	Frequency (%)
9114	1	< 0.1%
4269	1	< 0.1%
3928	1	< 0.1%
3268	1	< 0.1%
3212	1	< 0.1%
3166	1	< 0.1%
3124	1	< 0.1%
3040	1	< 0.1%
2891	1	< 0.1%
2277	1	< 0.1%

9월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	258
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.3926

Minimum	0
Maximum	10693
Zeros	4590
Zeros (%)	45.9%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	32
Maximum	10693
Range	10693
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	173.56559
Coefficient of variation (CV)	11.275911
Kurtosis	1699.1427
Mean	15.3926
Median Absolute Deviation (MAD)	1
Skewness	35.07355
Sum	153926
Variance	30125.014
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4590	45.9%
1	1726	17.3%
2	854	8.5%
3	481	4.8%
4	346	3.5%
5	238	2.4%
6	164	1.6%
7	152	1.5%
8	114	1.1%
9	111	1.1%
Other values (248)	1224	12.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4590	45.9%
1	1726	17.3%
2	854	8.5%
3	481	4.8%
4	346	3.5%
5	238	2.4%
6	164	1.6%
7	152	1.5%
8	114	1.1%
9	111	1.1%

Value	Count	Frequency (%)
10693	1	< 0.1%
5323	1	< 0.1%
4588	1	< 0.1%
3928	1	< 0.1%
3798	1	< 0.1%
3719	1	< 0.1%
3642	1	< 0.1%
3524	1	< 0.1%
3067	1	< 0.1%
2536	1	< 0.1%

10월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	271
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.9948

Minimum	0
Maximum	20788
Zeros	4825
Zeros (%)	48.2%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	36
Maximum	20788
Range	20788
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	279.02417
Coefficient of variation (CV)	14.689503
Kurtosis	3313.4219
Mean	18.9948
Median Absolute Deviation (MAD)	1
Skewness	50.29732
Sum	189948
Variance	77854.487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4825	48.2%
1	1452	14.5%
2	791	7.9%
3	433	4.3%
4	318	3.2%
5	304	3.0%
6	199	2.0%
7	164	1.6%
8	121	1.2%
9	104	1.0%
Other values (261)	1289	12.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4825	48.2%
1	1452	14.5%
2	791	7.9%
3	433	4.3%
4	318	3.2%
5	304	3.0%
6	199	2.0%
7	164	1.6%
8	121	1.2%
9	104	1.0%

Value	Count	Frequency (%)
20788	1	< 0.1%
10153	1	< 0.1%
6470	1	< 0.1%
5177	1	< 0.1%
4699	1	< 0.1%
4395	1	< 0.1%
3626	1	< 0.1%
3468	1	< 0.1%
3427	1	< 0.1%
3315	1	< 0.1%

11월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	290
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.3171

Minimum	0
Maximum	20430
Zeros	4808
Zeros (%)	48.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	44
Maximum	20430
Range	20430
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	387.39276
Coefficient of variation (CV)	15.301625
Kurtosis	1731.3227
Mean	25.3171
Median Absolute Deviation (MAD)	1
Skewness	38.539319
Sum	253171
Variance	150073.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4808	48.1%
1	1501	15.0%
2	658	6.6%
3	498	5.0%
4	303	3.0%
5	224	2.2%
6	197	2.0%
7	123	1.2%
8	114	1.1%
9	104	1.0%
Other values (280)	1470	14.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4808	48.1%
1	1501	15.0%
2	658	6.6%
3	498	5.0%
4	303	3.0%
5	224	2.2%
6	197	2.0%
7	123	1.2%
8	114	1.1%
9	104	1.0%

Value	Count	Frequency (%)
20430	1	< 0.1%
19136	1	< 0.1%
14850	1	< 0.1%
12101	1	< 0.1%
10043	1	< 0.1%
6191	1	< 0.1%
4727	1	< 0.1%
4621	1	< 0.1%
4524	1	< 0.1%
4483	1	< 0.1%

12월
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	259
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.56

Minimum	0
Maximum	97045
Zeros	4675
Zeros (%)	46.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	39
Maximum	97045
Range	97045
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	999.14839
Coefficient of variation (CV)	33.80069
Kurtosis	8897.8785
Mean	29.56
Median Absolute Deviation (MAD)	1
Skewness	92.05531
Sum	295600
Variance	998297.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4675	46.8%
1	1488	14.9%
2	871	8.7%
3	511	5.1%
4	357	3.6%
5	251	2.5%
6	197	2.0%
7	160	1.6%
8	122	1.2%
9	87	0.9%
Other values (249)	1281	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4675	46.8%
1	1488	14.9%
2	871	8.7%
3	511	5.1%
4	357	3.6%
5	251	2.5%
6	197	2.0%
7	160	1.6%
8	122	1.2%
9	87	0.9%

Value	Count	Frequency (%)
97045	1	< 0.1%
15028	1	< 0.1%
7152	1	< 0.1%
6871	1	< 0.1%
4906	1	< 0.1%
4744	1	< 0.1%
4593	1	< 0.1%
4139	1	< 0.1%
3806	1	< 0.1%
3793	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	1월	2월	3월	4월	5월	6월	7월	8월	9월	10월	11월	12월
1월	1.000	0.898	0.883	0.983	0.876	0.870	0.901	0.969	0.962	0.924	0.838	0.941
2월	0.898	1.000	0.982	0.885	0.965	0.964	0.891	0.852	0.842	0.794	0.868	0.718
3월	0.883	0.982	1.000	0.892	0.963	0.968	0.890	0.846	0.852	0.789	0.834	0.718
4월	0.983	0.885	0.892	1.000	0.884	0.886	0.926	0.968	0.973	0.921	0.835	0.941
5월	0.876	0.965	0.963	0.884	1.000	0.991	0.870	0.828	0.876	0.792	0.822	0.718
6월	0.870	0.964	0.968	0.886	0.991	1.000	0.900	0.894	0.891	0.819	0.842	0.718
7월	0.901	0.891	0.890	0.926	0.870	0.900	1.000	0.948	0.894	0.820	0.837	0.768
8월	0.969	0.852	0.846	0.968	0.828	0.894	0.948	1.000	0.976	0.928	0.836	0.941
9월	0.962	0.842	0.852	0.973	0.876	0.891	0.894	0.976	1.000	0.942	0.869	0.941
10월	0.924	0.794	0.789	0.921	0.792	0.819	0.820	0.928	0.942	1.000	0.922	1.000
11월	0.838	0.868	0.834	0.835	0.822	0.842	0.837	0.836	0.869	0.922	1.000	0.890
12월	0.941	0.718	0.718	0.941	0.718	0.718	0.768	0.941	0.941	1.000	0.890	1.000

Heatmap
Table

	1월	2월	3월	4월	5월	6월	7월	8월	9월	10월	11월	12월
1월	1.000	0.641	0.670	0.628	0.594	0.638	0.508	0.532	0.507	0.558	0.532	0.588
2월	0.641	1.000	0.629	0.631	0.574	0.630	0.506	0.530	0.513	0.558	0.546	0.562
3월	0.670	0.629	1.000	0.659	0.629	0.652	0.556	0.554	0.547	0.590	0.581	0.599
4월	0.628	0.631	0.659	1.000	0.637	0.673	0.574	0.557	0.556	0.603	0.603	0.610
5월	0.594	0.574	0.629	0.637	1.000	0.680	0.572	0.545	0.559	0.590	0.600	0.602
6월	0.638	0.630	0.652	0.673	0.680	1.000	0.574	0.599	0.582	0.645	0.633	0.665
7월	0.508	0.506	0.556	0.574	0.572	0.574	1.000	0.462	0.528	0.593	0.561	0.533
8월	0.532	0.530	0.554	0.557	0.545	0.599	0.462	1.000	0.518	0.544	0.557	0.578
9월	0.507	0.513	0.547	0.556	0.559	0.582	0.528	0.518	1.000	0.601	0.604	0.576
10월	0.558	0.558	0.590	0.603	0.590	0.645	0.593	0.544	0.601	1.000	0.628	0.640
11월	0.532	0.546	0.581	0.603	0.600	0.633	0.561	0.557	0.604	0.628	1.000	0.644
12월	0.588	0.562	0.599	0.610	0.602	0.665	0.533	0.578	0.576	0.640	0.644	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

	연도	통계명	기관명	통계표번호	1월	2월	3월	4월	5월	6월	7월	8월	9월	10월	11월	12월
69095	2020	청소년건강행태조사	보건복지부	DT_117_12_Y009	71	70	57	243	327	328	262	73	213	61	59	56
46265	2020	의료기기생산실적	식품의약품안전처	DT_14508_017	63	92	171	173	214	269	271	226	291	255	214	214
36802	2020	전라남도기본통계	전라남도	DT_A07A	0	1	1	0	0	2	0	0	0	0	1	0
44108	2020	울산광역시울주군기본통계	울산광역시 울주군	DT_605001_K009	0	0	3	0	1	0	0	0	1	0	0	0
28013	2020	중소기업정보화수준조사	중소기업기술정보진흥원	TX_398010143	0	0	0	0	0	0	0	1	0	0	0	0
36803	2020	전라남도기본통계	전라남도	DT_E085	19	14	9	36	61	35	34	42	39	18	39	30
38722	2020	국민연금통계	국민연금공단	DT_32202_B063_1	5	3	1	2	9	1	2	1	2	1	1	5
2971	2020	경상남도밀양시기본통계	경상남도 밀양시	DT_79801_E008	0	3	1	1	0	0	1	9	1	1	1	0
25764	2020	경력단절여성등의경제활동실태조사	여성가족부	DT_MOGE_3036200112	0	1	2	1	0	2	2	0	0	0	0	0
32524	2020	인천광역시기본통계	인천광역시	DT_20402_E000027	3	0	0	4	4	2	1	3	1	2	5	9

	연도	통계명	기관명	통계표번호	1월	2월	3월	4월	5월	6월	7월	8월	9월	10월	11월	12월
15547	2020	가공식품소비자태도조사	농림축산식품부	DT_114053_009_2019	0	0	12	46	41	40	84	25	40	31	43	54
47193	2020	주택총조사	통계청	DT_1JU8005	5	5	6	16	11	21	16	7	15	27	20	51
50022	2020	디자인산업통계조사	산업통상자원부	DT_115026_C078	4	0	7	1	3	4	8	0	0	3	0	1
25762	2020	경력단절여성등의경제활동실태조사	여성가족부	DT_MOGE_3036200065	2	1	6	3	1	6	3	1	0	1	11	6
39522	2020	경상남도함양군기본통계	경상남도 함양군	DT_80801_D003	0	1	1	7	0	4	1	2	11	10	19	17
23345	2020	한국복지패널조사	한국보건사회연구원	DT_33109_N088	0	1	1	0	1	1	2	1	0	2	1	1
26506	2020	광업제조업조사	통계청	DT_1FJZ002	0	2	0	0	0	0	5	3	0	4	1	0
18513	2020	경기도군포시기본통계	경기도 군포시	DT_62601_E000044	3	6	1	0	0	0	0	0	1	2	1	0
12507	2020	경기도광주시기본통계	경기도 광주시	DT_63701_E000004	2	0	0	0	0	0	0	3	1	4	2	0
34802	2020	충청남도태안군기본통계	충청남도 태안군	DT_70401_F000004	1	2	0	0	2	2	0	0	0	1	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Open Punctuation

Close 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

Uppercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample