Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory74.7 B

Variable types

Categorical2
Text1
Numeric5

Dataset

Description인천광역시 미추홀구 초등학교 무상급식 지원현황에 대한 데이터로 학교명, 급식일수, 식품비단가, 일반학생수, 지원액을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15071990/fileData.do

Alerts

교육지원청 has constant value ""Constant
군구 has constant value ""Constant
식품비 단가 is highly overall correlated with 일반학생수 and 2 other fieldsHigh correlation
일반학생수 is highly overall correlated with 식품비 단가 and 2 other fieldsHigh correlation
운영비 is highly overall correlated with 식품비 단가 and 2 other fieldsHigh correlation
지원액(원) is highly overall correlated with 식품비 단가 and 2 other fieldsHigh correlation
학교명 has unique valuesUnique
일반학생수 has unique valuesUnique
지원액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:30:09.121839
Analysis finished2023-12-12 06:30:12.147246
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육지원청
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
남부
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남부
2nd row남부
3rd row남부
4th row남부
5th row남부

Common Values

ValueCountFrequency (%)
남부 23
100.0%

Length

2023-12-12T15:30:12.229518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:30:12.321083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부 23
100.0%

군구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
인천광역시 미추홀구
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 미추홀구
2nd row인천광역시 미추홀구
3rd row인천광역시 미추홀구
4th row인천광역시 미추홀구
5th row인천광역시 미추홀구

Common Values

ValueCountFrequency (%)
인천광역시 미추홀구 23
100.0%

Length

2023-12-12T15:30:12.438276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:30:12.536973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 23
50.0%
미추홀구 23
50.0%

학교명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:30:12.717396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1304348
Min length8

Characters and Unicode

Total characters187
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row인천문학초등학교
2nd row인천주안초등학교
3rd row인천숭의초등학교
4th row인천학익초등학교
5th row인천도화초등학교
ValueCountFrequency (%)
인천문학초등학교 1
 
4.3%
인천연학초등학교 1
 
4.3%
인천경원초등학교 1
 
4.3%
인천학산초등학교 1
 
4.3%
인천인주초등학교 1
 
4.3%
인천승학초등학교 1
 
4.3%
인천백학초등학교 1
 
4.3%
인천대화초등학교 1
 
4.3%
인천관교초등학교 1
 
4.3%
인천용현남초등학교 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T15:30:13.063671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 30
16.0%
인 24
12.8%
교 24
12.8%
초 23
12.3%
등 23
12.3%
천 23
12.3%
용 5
 
2.7%
주 4
 
2.1%
안 3
 
1.6%
남 3
 
1.6%
Other values (22) 25
13.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 30
16.0%
인 24
12.8%
교 24
12.8%
초 23
12.3%
등 23
12.3%
천 23
12.3%
용 5
 
2.7%
주 4
 
2.1%
안 3
 
1.6%
남 3
 
1.6%
Other values (22) 25
13.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 30
16.0%
인 24
12.8%
교 24
12.8%
초 23
12.3%
등 23
12.3%
천 23
12.3%
용 5
 
2.7%
주 4
 
2.1%
안 3
 
1.6%
남 3
 
1.6%
Other values (22) 25
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 30
16.0%
인 24
12.8%
교 24
12.8%
초 23
12.3%
등 23
12.3%
천 23
12.3%
용 5
 
2.7%
주 4
 
2.1%
안 3
 
1.6%
남 3
 
1.6%
Other values (22) 25
13.4%

급식일수
Real number (ℝ)

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190
Minimum171
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:30:13.187225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171
5-th percentile172.5
Q1187
median191
Q3194.5
95-th percentile201.9
Maximum208
Range37
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.0050491
Coefficient of variation (CV)0.047394995
Kurtosis0.37594491
Mean190
Median Absolute Deviation (MAD)4
Skewness-0.47572784
Sum4370
Variance81.090909
MonotonicityNot monotonic
2023-12-12T15:30:13.317075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
194 4
17.4%
189 3
13.0%
195 3
13.0%
190 2
 
8.7%
191 1
 
4.3%
185 1
 
4.3%
182 1
 
4.3%
201 1
 
4.3%
180 1
 
4.3%
208 1
 
4.3%
Other values (5) 5
21.7%
ValueCountFrequency (%)
171 1
 
4.3%
172 1
 
4.3%
177 1
 
4.3%
180 1
 
4.3%
182 1
 
4.3%
185 1
 
4.3%
189 3
13.0%
190 2
8.7%
191 1
 
4.3%
193 1
 
4.3%
ValueCountFrequency (%)
208 1
 
4.3%
202 1
 
4.3%
201 1
 
4.3%
195 3
13.0%
194 4
17.4%
193 1
 
4.3%
191 1
 
4.3%
190 2
8.7%
189 3
13.0%
185 1
 
4.3%

식품비 단가
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5746.5652
Minimum5179
Maximum6408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:30:13.433634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5179
5-th percentile5290
Q15430.5
median5854
Q36032
95-th percentile6108
Maximum6408
Range1229
Interquartile range (IQR)601.5

Descriptive statistics

Standard deviation342.56318
Coefficient of variation (CV)0.059611814
Kurtosis-1.1124001
Mean5746.5652
Median Absolute Deviation (MAD)254
Skewness-0.12897963
Sum132171
Variance117349.53
MonotonicityNot monotonic
2023-12-12T15:30:13.564725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6032 5
21.7%
5854 3
13.0%
5809 2
 
8.7%
5290 2
 
8.7%
5479 2
 
8.7%
6108 2
 
8.7%
5527 1
 
4.3%
5363 1
 
4.3%
5179 1
 
4.3%
6408 1
 
4.3%
Other values (3) 3
13.0%
ValueCountFrequency (%)
5179 1
 
4.3%
5290 2
8.7%
5305 1
 
4.3%
5363 1
 
4.3%
5382 1
 
4.3%
5479 2
8.7%
5527 1
 
4.3%
5809 2
8.7%
5854 3
13.0%
5913 1
 
4.3%
ValueCountFrequency (%)
6408 1
 
4.3%
6108 2
 
8.7%
6032 5
21.7%
5913 1
 
4.3%
5854 3
13.0%
5809 2
 
8.7%
5527 1
 
4.3%
5479 2
 
8.7%
5382 1
 
4.3%
5363 1
 
4.3%

일반학생수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745.34783
Minimum218
Maximum1274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:30:13.699919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum218
5-th percentile232.5
Q1524.5
median662
Q31015
95-th percentile1254.1
Maximum1274
Range1056
Interquartile range (IQR)490.5

Descriptive statistics

Standard deviation334.42387
Coefficient of variation (CV)0.44868163
Kurtosis-1.088463
Mean745.34783
Median Absolute Deviation (MAD)278
Skewness0.19407118
Sum17143
Variance111839.33
MonotonicityNot monotonic
2023-12-12T15:30:13.822222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
711 1
 
4.3%
662 1
 
4.3%
1175 1
 
4.3%
1257 1
 
4.3%
952 1
 
4.3%
700 1
 
4.3%
499 1
 
4.3%
327 1
 
4.3%
532 1
 
4.3%
650 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
218 1
4.3%
222 1
4.3%
327 1
4.3%
384 1
4.3%
499 1
4.3%
519 1
4.3%
530 1
4.3%
532 1
4.3%
612 1
4.3%
635 1
4.3%
ValueCountFrequency (%)
1274 1
4.3%
1257 1
4.3%
1228 1
4.3%
1177 1
4.3%
1175 1
4.3%
1069 1
4.3%
961 1
4.3%
952 1
4.3%
849 1
4.3%
711 1
4.3%

운영비
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.6087
Minimum319.2
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:30:13.928018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum319.2
5-th percentile320
Q1333.9
median384.4
Q3398
95-th percentile422
Maximum562
Range242.8
Interquartile range (IQR)64.1

Descriptive statistics

Standard deviation53.370386
Coefficient of variation (CV)0.1417131
Kurtosis5.7328869
Mean376.6087
Median Absolute Deviation (MAD)37.6
Skewness1.8075192
Sum8662
Variance2848.3981
MonotonicityNot monotonic
2023-12-12T15:30:14.049201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
398.0 5
21.7%
384.4 3
13.0%
381.0 2
 
8.7%
320.0 2
 
8.7%
339.4 2
 
8.7%
422.0 2
 
8.7%
343.4 1
 
4.3%
327.0 1
 
4.3%
319.2 1
 
4.3%
562.0 1
 
4.3%
Other values (3) 3
13.0%
ValueCountFrequency (%)
319.2 1
 
4.3%
320.0 2
8.7%
321.4 1
 
4.3%
327.0 1
 
4.3%
328.4 1
 
4.3%
339.4 2
8.7%
343.4 1
 
4.3%
381.0 2
8.7%
384.4 3
13.0%
392.6 1
 
4.3%
ValueCountFrequency (%)
562.0 1
 
4.3%
422.0 2
 
8.7%
398.0 5
21.7%
392.6 1
 
4.3%
384.4 3
13.0%
381.0 2
 
8.7%
343.4 1
 
4.3%
339.4 2
 
8.7%
328.4 1
 
4.3%
327.0 1
 
4.3%

지원액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66861170
Minimum27140800
Maximum1.0846545 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:30:14.190156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27140800
5-th percentile30856133
Q149286545
median59407890
Q387375440
95-th percentile1.0605214 × 108
Maximum1.0846545 × 108
Range81324650
Interquartile range (IQR)38088895

Descriptive statistics

Standard deviation25067002
Coefficient of variation (CV)0.37491121
Kurtosis-1.0689277
Mean66861170
Median Absolute Deviation (MAD)17214500
Skewness0.29501823
Sum1.5378069 × 109
Variance6.2835458 × 1014
MonotonicityNot monotonic
2023-12-12T15:30:14.339537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
66984280 1
 
4.3%
59407890 1
 
4.3%
100049780 1
 
4.3%
106080260 1
 
4.3%
83524900 1
 
4.3%
58050780 1
 
4.3%
48394450 1
 
4.3%
42193390 1
 
4.3%
46475060 1
 
4.3%
54043730 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
27140800 1
4.3%
30026210 1
4.3%
38325440 1
4.3%
42193390 1
4.3%
46475060 1
4.3%
48394450 1
4.3%
50178640 1
4.3%
50975350 1
4.3%
54043730 1
4.3%
57986620 1
4.3%
ValueCountFrequency (%)
108465450 1
4.3%
106080260 1
4.3%
105799030 1
4.3%
100049780 1
4.3%
94832770 1
4.3%
91225980 1
4.3%
83524900 1
4.3%
79455950 1
4.3%
75948570 1
4.3%
66984280 1
4.3%

Interactions

2023-12-12T15:30:11.430757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:09.367435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.003927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.534022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.009561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.543770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:09.504260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.126524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.629351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.096296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.629463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:09.639841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.237156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.730741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.170459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.721888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:09.778566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.323990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.817994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.242434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.821635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:09.877478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.408617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:10.901912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:30:11.324547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:30:14.434768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명급식일수식품비 단가일반학생수운영비지원액(원)
학교명1.0001.0001.0001.0001.0001.000
급식일수1.0001.0000.0000.0000.1290.000
식품비 단가1.0000.0001.0000.9040.9540.995
일반학생수1.0000.0000.9041.0000.9120.929
운영비1.0000.1290.9540.9121.0000.898
지원액(원)1.0000.0000.9950.9290.8981.000
2023-12-12T15:30:14.551938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식일수식품비 단가일반학생수운영비지원액(원)
급식일수1.000-0.4710.363-0.4710.483
식품비 단가-0.4711.000-0.9761.000-0.989
일반학생수0.363-0.9761.000-0.9760.975
운영비-0.4711.000-0.9761.000-0.989
지원액(원)0.483-0.9890.975-0.9891.000

Missing values

2023-12-12T15:30:11.938381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:30:12.075621image/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

교육지원청군구학교명급식일수식품비 단가일반학생수운영비지원액(원)
0남부인천광역시 미추홀구인천문학초등학교1915809711381.066984280
1남부인천광역시 미추홀구인천주안초등학교1855809662381.059407890
2남부인천광역시 미추홀구인천숭의초등학교19052901274320.0105799030
3남부인천광역시 미추홀구인천학익초등학교1906032519398.050178640
4남부인천광역시 미추홀구인천도화초등학교1825527961343.479455950
5남부인천광역시 미추홀구인천용현초등학교20153631177327.094832770
6남부인천광역시 미추홀구인천용일초등학교1806032530398.050975350
7남부인천광역시 미추홀구인천서화초등학교20851791228319.2108465450
8남부인천광역시 미추홀구인천석암초등학교1945479849339.475948570
9남부인천광역시 미추홀구인천용정초등학교1896408218562.027140800
교육지원청군구학교명급식일수식품비 단가일반학생수운영비지원액(원)
13남부인천광역시 미추홀구인천주안남초등학교1955854635384.457986620
14남부인천광역시 미추홀구인천용현남초등학교19453821069328.491225980
15남부인천광역시 미추홀구인천관교초등학교1715913650392.654043730
16남부인천광역시 미추홀구인천대화초등학교1726032532398.046475060
17남부인천광역시 미추홀구인천백학초등학교1896032327398.042193390
18남부인천광역시 미추홀구인천승학초등학교1896032499398.048394450
19남부인천광역시 미추홀구인천인주초등학교1775854700384.458050780
20남부인천광역시 미추홀구인천학산초등학교1935479952339.483524900
21남부인천광역시 미추홀구인천경원초등학교19552901257320.0106080260
22남부인천광역시 미추홀구인천용학초등학교19553051175321.4100049780