Dataset statistics
| Number of variables | 30 |
|---|---|
| Number of observations | 10000 |
| Missing cells | 5991 |
| Missing cells (%) | 2.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.3 MiB |
| Average record size in memory | 240.0 B |
Variable types
| Numeric | 21 |
|---|---|
| Categorical | 9 |
GS has constant value "1" | Constant |
DATE has a high cardinality: 3090 distinct values | High cardinality |
AGE has a high cardinality: 4778 distinct values | High cardinality |
RESULT has a high cardinality: 100 distinct values | High cardinality |
MP has a high cardinality: 2116 distinct values | High cardinality |
Player has a high cardinality: 1035 distinct values | High cardinality |
df_index is highly correlated with FG and 6 other fields | High correlation |
FG is highly correlated with df_index and 4 other fields | High correlation |
FGA is highly correlated with df_index and 3 other fields | High correlation |
FG% is highly correlated with df_index and 2 other fields | High correlation |
3P is highly correlated with 3PA and 1 other fields | High correlation |
3PA is highly correlated with 3P | High correlation |
3P% is highly correlated with 3P | High correlation |
FT is highly correlated with df_index and 3 other fields | High correlation |
FTA is highly correlated with df_index and 3 other fields | High correlation |
ORB is highly correlated with TRB | High correlation |
DRB is highly correlated with TRB | High correlation |
TRB is highly correlated with ORB and 1 other fields | High correlation |
PTS is highly correlated with df_index and 5 other fields | High correlation |
GAME_SCORE is highly correlated with df_index and 6 other fields | High correlation |
df_index is highly correlated with FG and 6 other fields | High correlation |
FG is highly correlated with df_index and 4 other fields | High correlation |
FGA is highly correlated with df_index and 3 other fields | High correlation |
FG% is highly correlated with df_index and 2 other fields | High correlation |
3P is highly correlated with 3PA and 1 other fields | High correlation |
3PA is highly correlated with 3P | High correlation |
3P% is highly correlated with 3P | High correlation |
FT is highly correlated with df_index and 3 other fields | High correlation |
FTA is highly correlated with df_index and 3 other fields | High correlation |
ORB is highly correlated with TRB | High correlation |
DRB is highly correlated with TRB | High correlation |
TRB is highly correlated with ORB and 1 other fields | High correlation |
PTS is highly correlated with df_index and 5 other fields | High correlation |
GAME_SCORE is highly correlated with df_index and 6 other fields | High correlation |
df_index is highly correlated with GS and 7 other fields | High correlation |
GS is highly correlated with df_index | High correlation |
FG is highly correlated with df_index and 3 other fields | High correlation |
FGA is highly correlated with FG and 1 other fields | High correlation |
3P is highly correlated with df_index and 1 other fields | High correlation |
3PA is highly correlated with BLK | High correlation |
3P% is highly correlated with BLK | High correlation |
FT is highly correlated with df_index and 1 other fields | High correlation |
FTA is highly correlated with df_index and 1 other fields | High correlation |
DRB is highly correlated with TRB | High correlation |
TRB is highly correlated with DRB | High correlation |
AST is highly correlated with BLK | High correlation |
BLK is highly correlated with df_index and 4 other fields | High correlation |
PTS is highly correlated with df_index and 3 other fields | High correlation |
GAME_SCORE is highly correlated with df_index and 2 other fields | High correlation |
GS is highly correlated with RESULT and 3 other fields | High correlation |
RESULT is highly correlated with GS | High correlation |
HOME/AWAY is highly correlated with GS | High correlation |
OPPONENT is highly correlated with GS | High correlation |
TEAM is highly correlated with GS | High correlation |
df_index is highly correlated with FG and 6 other fields | High correlation |
RESULT is highly correlated with +/- | High correlation |
FG is highly correlated with df_index and 6 other fields | High correlation |
FGA is highly correlated with df_index and 5 other fields | High correlation |
FG% is highly correlated with df_index and 5 other fields | High correlation |
3P is highly correlated with FG and 4 other fields | High correlation |
3PA is highly correlated with FG and 4 other fields | High correlation |
3P% is highly correlated with FG% and 2 other fields | High correlation |
FT is highly correlated with df_index and 4 other fields | High correlation |
FTA is highly correlated with df_index and 4 other fields | High correlation |
FT% is highly correlated with FT and 1 other fields | High correlation |
ORB is highly correlated with TRB | High correlation |
DRB is highly correlated with TRB | High correlation |
TRB is highly correlated with ORB and 1 other fields | High correlation |
PTS is highly correlated with df_index and 8 other fields | High correlation |
GAME_SCORE is highly correlated with df_index and 7 other fields | High correlation |
+/- is highly correlated with RESULT | High correlation |
3P% has 3271 (32.7%) missing values | Missing |
FT% has 2680 (26.8%) missing values | Missing |
AGE is uniformly distributed | Uniform |
FG has 362 (3.6%) zeros | Zeros |
FG% has 322 (3.2%) zeros | Zeros |
3P has 5276 (52.8%) zeros | Zeros |
3PA has 3271 (32.7%) zeros | Zeros |
3P% has 2005 (20.1%) zeros | Zeros |
FT has 3043 (30.4%) zeros | Zeros |
FTA has 2680 (26.8%) zeros | Zeros |
FT% has 363 (3.6%) zeros | Zeros |
ORB has 3669 (36.7%) zeros | Zeros |
DRB has 521 (5.2%) zeros | Zeros |
TRB has 294 (2.9%) zeros | Zeros |
AST has 1643 (16.4%) zeros | Zeros |
STL has 4128 (41.3%) zeros | Zeros |
BLK has 6081 (60.8%) zeros | Zeros |
TOV has 1993 (19.9%) zeros | Zeros |
PF has 906 (9.1%) zeros | Zeros |
PTS has 255 (2.5%) zeros | Zeros |
+/- has 346 (3.5%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-14 20:13:15.742048 |
|---|---|
| Analysis finished | 2021-11-14 20:13:58.249122 |
| Duration | 42.51 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 552 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 214.1238 |
| Minimum | 0 |
|---|---|
| Maximum | 907 |
| Zeros | 32 |
| Zeros (%) | 0.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 104 |
| median | 210 |
| Q3 | 316 |
| 95-th percentile | 419 |
| Maximum | 907 |
| Range | 907 |
| Interquartile range (IQR) | 212 |
Descriptive statistics
| Standard deviation | 128.7618369 |
|---|---|
| Coefficient of variation (CV) | 0.6013429468 |
| Kurtosis | -0.6070415347 |
| Mean | 214.1238 |
| Median Absolute Deviation (MAD) | 106 |
| Skewness | 0.2320254143 |
| Sum | 2141238 |
| Variance | 16579.61063 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 115 | 37 | 0.4% |
| 62 | 37 | 0.4% |
| 1 | 36 | 0.4% |
| 206 | 35 | 0.4% |
| 94 | 34 | 0.3% |
| 337 | 34 | 0.3% |
| 189 | 33 | 0.3% |
| 88 | 33 | 0.3% |
| 131 | 33 | 0.3% |
| 251 | 32 | 0.3% |
| Other values (542) | 9656 |
| Value | Count | Frequency (%) |
| 0 | 32 | |
| 1 | 36 | |
| 2 | 27 | |
| 3 | 18 | |
| 4 | 29 | |
| 5 | 22 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 19 | |
| 9 | 23 |
| Value | Count | Frequency (%) |
| 907 | 1 | |
| 901 | 1 | |
| 869 | 1 | |
| 830 | 1 | |
| 782 | 1 | |
| 721 | 1 | |
| 711 | 1 | |
| 708 | 1 | |
| 678 | 1 | |
| 633 | 1 |
| Distinct | 3090 |
|---|---|
| Distinct (%) | 30.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| 2009-03-15 | 12 |
|---|---|
| 2012-04-11 | 12 |
| 2014-03-28 | 11 |
| 2018-04-11 | 11 |
| 2018-10-22 | 11 |
| Other values (3085) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 607 ? |
|---|---|
| Unique (%) | 6.1% |
Sample
| 1st row | 2007-02-27 |
|---|---|
| 2nd row | 2014-01-31 |
| 3rd row | 2011-02-05 |
| 4th row | 2008-02-22 |
| 5th row | 2014-11-15 |
Common Values
| Value | Count | Frequency (%) |
| 2009-03-15 | 12 | 0.1% |
| 2012-04-11 | 12 | 0.1% |
| 2014-03-28 | 11 | 0.1% |
| 2018-04-11 | 11 | 0.1% |
| 2018-10-22 | 11 | 0.1% |
| 2010-03-19 | 11 | 0.1% |
| 2007-04-06 | 10 | 0.1% |
| 2013-11-22 | 10 | 0.1% |
| 2014-02-12 | 10 | 0.1% |
| 2011-03-16 | 10 | 0.1% |
| Other values (3080) | 9892 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2009-03-15 | 12 | 0.1% |
| 2012-04-11 | 12 | 0.1% |
| 2014-03-28 | 11 | 0.1% |
| 2018-04-11 | 11 | 0.1% |
| 2018-10-22 | 11 | 0.1% |
| 2010-03-19 | 11 | 0.1% |
| 2004-01-25 | 10 | 0.1% |
| 2015-10-28 | 10 | 0.1% |
| 2013-01-23 | 10 | 0.1% |
| 2010-10-29 | 10 | 0.1% |
| Other values (3080) | 9892 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4778 |
|---|---|
| Distinct (%) | 47.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| 25-119 | 9 |
|---|---|
| 28-232 | 9 |
| 27-289 | 9 |
| 30-203 | 8 |
| 23-312 | 8 |
| Other values (4773) |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2047 ? |
|---|---|
| Unique (%) | 20.5% |
Sample
| 1st row | 30-161 |
|---|---|
| 2nd row | 37-257 |
| 3rd row | 22-328 |
| 4th row | 33-168 |
| 5th row | 26-075 |
Common Values
| Value | Count | Frequency (%) |
| 25-119 | 9 | 0.1% |
| 28-232 | 9 | 0.1% |
| 27-289 | 9 | 0.1% |
| 30-203 | 8 | 0.1% |
| 23-312 | 8 | 0.1% |
| 28-288 | 8 | 0.1% |
| 27-232 | 8 | 0.1% |
| 27-111 | 8 | 0.1% |
| 26-129 | 8 | 0.1% |
| 26-125 | 8 | 0.1% |
| Other values (4768) | 9917 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 25-119 | 9 | 0.1% |
| 27-289 | 9 | 0.1% |
| 28-232 | 9 | 0.1% |
| 30-203 | 8 | 0.1% |
| 23-312 | 8 | 0.1% |
| 28-288 | 8 | 0.1% |
| 27-232 | 8 | 0.1% |
| 27-111 | 8 | 0.1% |
| 26-129 | 8 | 0.1% |
| 26-125 | 8 | 0.1% |
| Other values (4768) | 9917 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| ATL | 459 |
|---|---|
| DET | 444 |
| CHI | 430 |
| BOS | 420 |
| LAC | 417 |
| Other values (30) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | PHO |
|---|---|
| 2nd row | BRK |
| 3rd row | GSW |
| 4th row | DET |
| 5th row | PHO |
Common Values
| Value | Count | Frequency (%) |
| ATL | 459 | 4.6% |
| DET | 444 | 4.4% |
| CHI | 430 | 4.3% |
| BOS | 420 | 4.2% |
| LAC | 417 | 4.2% |
| PHI | 416 | 4.2% |
| MIA | 413 | 4.1% |
| PHO | 412 | 4.1% |
| CLE | 412 | 4.1% |
| HOU | 409 | 4.1% |
| Other values (25) | 5768 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| atl | 459 | 4.6% |
| det | 444 | 4.4% |
| chi | 430 | 4.3% |
| bos | 420 | 4.2% |
| lac | 417 | 4.2% |
| phi | 416 | 4.2% |
| mia | 413 | 4.1% |
| cle | 412 | 4.1% |
| pho | 412 | 4.1% |
| hou | 409 | 4.1% |
| Other values (25) | 5768 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| HOME | |
|---|---|
| AWAY |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | AWAY |
|---|---|
| 2nd row | HOME |
| 3rd row | HOME |
| 4th row | HOME |
| 5th row | AWAY |
Common Values
| Value | Count | Frequency (%) |
| HOME | 5020 | |
| AWAY | 4980 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| home | 5020 | |
| away | 4980 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 37 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| NYK | 385 |
|---|---|
| LAC | 380 |
| BOS | 372 |
| TOR | 371 |
| HOU | 367 |
| Other values (32) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | IND |
|---|---|
| 2nd row | OKC |
| 3rd row | CHI |
| 4th row | MIL |
| 5th row | LAC |
Common Values
| Value | Count | Frequency (%) |
| NYK | 385 | 3.9% |
| LAC | 380 | 3.8% |
| BOS | 372 | 3.7% |
| TOR | 371 | 3.7% |
| HOU | 367 | 3.7% |
| CLE | 344 | 3.4% |
| WAS | 343 | 3.4% |
| MIL | 343 | 3.4% |
| MIN | 340 | 3.4% |
| PHI | 337 | 3.4% |
| Other values (27) | 6418 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nyk | 385 | 3.9% |
| lac | 380 | 3.8% |
| bos | 372 | 3.7% |
| tor | 371 | 3.7% |
| hou | 367 | 3.7% |
| cle | 344 | 3.4% |
| was | 343 | 3.4% |
| mil | 343 | 3.4% |
| min | 340 | 3.4% |
| phi | 337 | 3.4% |
| Other values (27) | 6418 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 100 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| W (+5) | 369 |
|---|---|
| L (-5) | 333 |
| W (+6) | 326 |
| W (+7) | 324 |
| L (-7) | 319 |
| Other values (95) |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 6.4691 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 8 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | W (+11) |
|---|---|
| 2nd row | L (-25) |
| 3rd row | W (+11) |
| 4th row | W (+27) |
| 5th row | L (-13) |
Common Values
| Value | Count | Frequency (%) |
| W (+5) | 369 | 3.7% |
| L (-5) | 333 | 3.3% |
| W (+6) | 326 | 3.3% |
| W (+7) | 324 | 3.2% |
| L (-7) | 319 | 3.2% |
| W (+8) | 312 | 3.1% |
| L (-6) | 312 | 3.1% |
| W (+4) | 306 | 3.1% |
| L (-4) | 303 | 3.0% |
| W (+3) | 295 | 2.9% |
| Other values (90) | 6801 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| w | 5072 | |
| l | 4928 | |
| 5 | 702 | 3.5% |
| 7 | 643 | 3.2% |
| 6 | 638 | 3.2% |
| 4 | 609 | 3.0% |
| 8 | 599 | 3.0% |
| 2 | 566 | 2.8% |
| 3 | 559 | 2.8% |
| 9 | 559 | 2.8% |
| Other values (45) | 5125 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| 1 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 10000 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 10000 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2116 |
|---|---|
| Distinct (%) | 21.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| 34:25 | 19 |
|---|---|
| 24:00 | 19 |
| 34:39 | 18 |
| 34:10 | 17 |
| 35:01 | 17 |
| Other values (2111) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.9913 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 420 ? |
|---|---|
| Unique (%) | 4.2% |
Sample
| 1st row | 41:10 |
|---|---|
| 2nd row | 12:14 |
| 3rd row | 44:17 |
| 4th row | 25:22 |
| 5th row | 18:36 |
Common Values
| Value | Count | Frequency (%) |
| 34:25 | 19 | 0.2% |
| 24:00 | 19 | 0.2% |
| 34:39 | 18 | 0.2% |
| 34:10 | 17 | 0.2% |
| 35:01 | 17 | 0.2% |
| 35:30 | 17 | 0.2% |
| 36:50 | 17 | 0.2% |
| 33:54 | 16 | 0.2% |
| 34:59 | 16 | 0.2% |
| 36:30 | 16 | 0.2% |
| Other values (2106) | 9828 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 34:25 | 19 | 0.2% |
| 24:00 | 19 | 0.2% |
| 34:39 | 18 | 0.2% |
| 34:10 | 17 | 0.2% |
| 35:01 | 17 | 0.2% |
| 35:30 | 17 | 0.2% |
| 36:50 | 17 | 0.2% |
| 33:54 | 16 | 0.2% |
| 34:59 | 16 | 0.2% |
| 36:30 | 16 | 0.2% |
| Other values (2106) | 9828 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.1135 |
| Minimum | 0 |
|---|---|
| Maximum | 21 |
| Zeros | 362 |
| Zeros (%) | 3.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 21 |
| Range | 21 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.135634062 |
|---|---|
| Coefficient of variation (CV) | 0.6132070132 |
| Kurtosis | 0.3152276288 |
| Mean | 5.1135 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.6660248195 |
| Sum | 51135 |
| Variance | 9.83220097 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 4 | 1289 | |
| 3 | 1215 | |
| 5 | 1212 | |
| 2 | 1079 | |
| 6 | 1063 | |
| 7 | 820 | |
| 1 | 779 | |
| 8 | 706 | |
| 9 | 527 | |
| 10 | 378 | 3.8% |
| Other values (11) | 932 |
| Value | Count | Frequency (%) |
| 0 | 362 | 3.6% |
| 1 | 779 | |
| 2 | 1079 | |
| 3 | 1215 | |
| 4 | 1289 | |
| 5 | 1212 | |
| 6 | 1063 | |
| 7 | 820 | |
| 8 | 706 | |
| 9 | 527 |
| Value | Count | Frequency (%) |
| 21 | 1 | < 0.1% |
| 19 | 3 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 11 | 0.1% |
| 16 | 19 | 0.2% |
| 15 | 33 | 0.3% |
| 14 | 50 | 0.5% |
| 13 | 74 | 0.7% |
| 12 | 146 | |
| 11 | 232 |
| Distinct | 36 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.1413 |
| Minimum | 0 |
|---|---|
| Maximum | 36 |
| Zeros | 40 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 7 |
| median | 11 |
| Q3 | 15 |
| 95-th percentile | 21 |
| Maximum | 36 |
| Range | 36 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 5.609160417 |
|---|---|
| Coefficient of variation (CV) | 0.503456546 |
| Kurtosis | 0.2245240736 |
| Mean | 11.1413 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.5644622841 |
| Sum | 111413 |
| Variance | 31.46268058 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=36)
| Value | Count | Frequency (%) |
| 10 | 716 | 7.2% |
| 8 | 685 | 6.9% |
| 9 | 684 | 6.8% |
| 7 | 654 | 6.5% |
| 11 | 649 | 6.5% |
| 12 | 626 | 6.3% |
| 6 | 605 | 6.0% |
| 13 | 601 | 6.0% |
| 14 | 534 | 5.3% |
| 5 | 521 | 5.2% |
| Other values (26) | 3725 |
| Value | Count | Frequency (%) |
| 0 | 40 | 0.4% |
| 1 | 102 | 1.0% |
| 2 | 210 | 2.1% |
| 3 | 320 | |
| 4 | 422 | |
| 5 | 521 | |
| 6 | 605 | |
| 7 | 654 | |
| 8 | 685 | |
| 9 | 684 |
| Value | Count | Frequency (%) |
| 36 | 2 | < 0.1% |
| 34 | 4 | < 0.1% |
| 33 | 7 | 0.1% |
| 32 | 4 | < 0.1% |
| 31 | 12 | 0.1% |
| 30 | 6 | 0.1% |
| 29 | 16 | |
| 28 | 19 | |
| 27 | 16 | |
| 26 | 30 |
| Distinct | 177 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 40 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4532705823 |
| Minimum | 0 |
|---|---|
| Maximum | 1 |
| Zeros | 322 |
| Zeros (%) | 3.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.143 |
| Q1 | 0.333 |
| median | 0.455 |
| Q3 | 0.571 |
| 95-th percentile | 0.75 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.238 |
Descriptive statistics
| Standard deviation | 0.1837160403 |
|---|---|
| Coefficient of variation (CV) | 0.4053120751 |
| Kurtosis | 0.613240718 |
| Mean | 0.4532705823 |
| Median Absolute Deviation (MAD) | 0.116 |
| Skewness | 0.03355064847 |
| Sum | 4514.575 |
| Variance | 0.03375158347 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.5 | 1159 | 11.6% |
| 0.333 | 663 | 6.6% |
| 0.4 | 463 | 4.6% |
| 0.667 | 410 | 4.1% |
| 0.6 | 366 | 3.7% |
| 0.25 | 337 | 3.4% |
| 0.429 | 326 | 3.3% |
| 0 | 322 | 3.2% |
| 0.375 | 231 | 2.3% |
| 0.571 | 224 | 2.2% |
| Other values (167) | 5459 |
| Value | Count | Frequency (%) |
| 0 | 322 | |
| 0.056 | 1 | < 0.1% |
| 0.077 | 1 | < 0.1% |
| 0.083 | 5 | 0.1% |
| 0.091 | 5 | 0.1% |
| 0.1 | 11 | 0.1% |
| 0.111 | 35 | 0.4% |
| 0.118 | 1 | < 0.1% |
| 0.125 | 45 | 0.4% |
| 0.143 | 74 | 0.7% |
| Value | Count | Frequency (%) |
| 1 | 138 | |
| 0.917 | 2 | < 0.1% |
| 0.909 | 2 | < 0.1% |
| 0.9 | 8 | 0.1% |
| 0.889 | 8 | 0.1% |
| 0.875 | 21 | 0.2% |
| 0.857 | 17 | 0.2% |
| 0.846 | 3 | < 0.1% |
| 0.833 | 48 | 0.5% |
| 0.826 | 1 | < 0.1% |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9632 |
| Minimum | 0 |
|---|---|
| Maximum | 11 |
| Zeros | 5276 |
| Zeros (%) | 52.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.347229477 |
|---|---|
| Coefficient of variation (CV) | 1.398701699 |
| Kurtosis | 3.861992856 |
| Mean | 0.9632 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.757809527 |
| Sum | 9632 |
| Variance | 1.815027263 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 5276 | |
| 1 | 2108 | 21.1% |
| 2 | 1319 | 13.2% |
| 3 | 716 | 7.2% |
| 4 | 332 | 3.3% |
| 5 | 152 | 1.5% |
| 6 | 60 | 0.6% |
| 7 | 21 | 0.2% |
| 8 | 8 | 0.1% |
| 10 | 3 | < 0.1% |
| Other values (2) | 5 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 5276 | |
| 1 | 2108 | 21.1% |
| 2 | 1319 | 13.2% |
| 3 | 716 | 7.2% |
| 4 | 332 | 3.3% |
| 5 | 152 | 1.5% |
| 6 | 60 | 0.6% |
| 7 | 21 | 0.2% |
| 8 | 8 | 0.1% |
| 9 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 11 | 2 | < 0.1% |
| 10 | 3 | < 0.1% |
| 9 | 3 | < 0.1% |
| 8 | 8 | 0.1% |
| 7 | 21 | 0.2% |
| 6 | 60 | 0.6% |
| 5 | 152 | 1.5% |
| 4 | 332 | 3.3% |
| 3 | 716 | |
| 2 | 1319 |
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.6652 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 3271 |
| Zeros (%) | 32.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.807044159 |
|---|---|
| Coefficient of variation (CV) | 1.053220831 |
| Kurtosis | 1.490519143 |
| Mean | 2.6652 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.163980237 |
| Sum | 26652 |
| Variance | 7.87949691 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 3271 | |
| 1 | 1165 | 11.7% |
| 2 | 1143 | 11.4% |
| 3 | 1086 | 10.9% |
| 4 | 948 | 9.5% |
| 5 | 791 | 7.9% |
| 6 | 563 | 5.6% |
| 7 | 402 | 4.0% |
| 8 | 230 | 2.3% |
| 9 | 168 | 1.7% |
| Other values (11) | 233 | 2.3% |
| Value | Count | Frequency (%) |
| 0 | 3271 | |
| 1 | 1165 | 11.7% |
| 2 | 1143 | 11.4% |
| 3 | 1086 | 10.9% |
| 4 | 948 | 9.5% |
| 5 | 791 | 7.9% |
| 6 | 563 | 5.6% |
| 7 | 402 | 4.0% |
| 8 | 230 | 2.3% |
| 9 | 168 | 1.7% |
| Value | Count | Frequency (%) |
| 23 | 1 | < 0.1% |
| 19 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 5 | 0.1% |
| 16 | 4 | < 0.1% |
| 15 | 8 | 0.1% |
| 14 | 7 | 0.1% |
| 13 | 15 | 0.1% |
| 12 | 31 | |
| 11 | 58 |
| Distinct | 59 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 3271 |
| Missing (%) | 32.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.335314757 |
| Minimum | 0 |
|---|---|
| Maximum | 1 |
| Zeros | 2005 |
| Zeros (%) | 20.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.333 |
| Q3 | 0.5 |
| 95-th percentile | 1 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 0.2912918169 |
|---|---|
| Coefficient of variation (CV) | 0.8687115936 |
| Kurtosis | -0.3312145063 |
| Mean | 0.335314757 |
| Median Absolute Deviation (MAD) | 0.19 |
| Skewness | 0.5792468877 |
| Sum | 2256.333 |
| Variance | 0.08485092261 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2005 | |
| 0.5 | 1030 | 10.3% |
| 0.333 | 725 | 7.2% |
| 1 | 461 | 4.6% |
| 0.25 | 433 | 4.3% |
| 0.667 | 316 | 3.2% |
| 0.4 | 277 | 2.8% |
| 0.2 | 268 | 2.7% |
| 0.6 | 180 | 1.8% |
| 0.429 | 126 | 1.3% |
| Other values (49) | 908 | 9.1% |
| (Missing) | 3271 |
| Value | Count | Frequency (%) |
| 0 | 2005 | |
| 0.091 | 3 | < 0.1% |
| 0.1 | 7 | 0.1% |
| 0.111 | 9 | 0.1% |
| 0.125 | 20 | 0.2% |
| 0.133 | 1 | < 0.1% |
| 0.143 | 50 | 0.5% |
| 0.167 | 111 | 1.1% |
| 0.182 | 5 | 0.1% |
| 0.2 | 268 | 2.7% |
| Value | Count | Frequency (%) |
| 1 | 461 | |
| 0.9 | 1 | < 0.1% |
| 0.875 | 1 | < 0.1% |
| 0.857 | 4 | < 0.1% |
| 0.833 | 22 | 0.2% |
| 0.8 | 40 | 0.4% |
| 0.778 | 2 | < 0.1% |
| 0.75 | 103 | 1.0% |
| 0.727 | 1 | < 0.1% |
| 0.714 | 29 | 0.3% |
| Distinct | 22 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.5307 |
| Minimum | 0 |
|---|---|
| Maximum | 22 |
| Zeros | 3043 |
| Zeros (%) | 30.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 22 |
| Range | 22 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.780868719 |
|---|---|
| Coefficient of variation (CV) | 1.098853566 |
| Kurtosis | 3.251477551 |
| Mean | 2.5307 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.568339821 |
| Sum | 25307 |
| Variance | 7.733230833 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=22)
| Value | Count | Frequency (%) |
| 0 | 3043 | |
| 2 | 1747 | |
| 1 | 1353 | |
| 3 | 1014 | 10.1% |
| 4 | 897 | 9.0% |
| 5 | 580 | 5.8% |
| 6 | 457 | 4.6% |
| 7 | 285 | 2.9% |
| 8 | 201 | 2.0% |
| 9 | 143 | 1.4% |
| Other values (12) | 280 | 2.8% |
| Value | Count | Frequency (%) |
| 0 | 3043 | |
| 1 | 1353 | |
| 2 | 1747 | |
| 3 | 1014 | 10.1% |
| 4 | 897 | 9.0% |
| 5 | 580 | 5.8% |
| 6 | 457 | 4.6% |
| 7 | 285 | 2.9% |
| 8 | 201 | 2.0% |
| 9 | 143 | 1.4% |
| Value | Count | Frequency (%) |
| 22 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 18 | 3 | < 0.1% |
| 17 | 6 | 0.1% |
| 16 | 9 | 0.1% |
| 15 | 9 | 0.1% |
| 14 | 17 | |
| 13 | 26 | |
| 12 | 38 |
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.2976 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 2680 |
| Zeros (%) | 26.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.364515751 |
|---|---|
| Coefficient of variation (CV) | 1.020292258 |
| Kurtosis | 2.614508322 |
| Mean | 3.2976 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.430500405 |
| Sum | 32976 |
| Variance | 11.31996624 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 0 | 2680 | |
| 2 | 2114 | |
| 4 | 1306 | |
| 6 | 715 | 7.1% |
| 3 | 654 | 6.5% |
| 1 | 551 | 5.5% |
| 5 | 494 | 4.9% |
| 8 | 365 | 3.6% |
| 7 | 344 | 3.4% |
| 9 | 188 | 1.9% |
| Other values (15) | 589 | 5.9% |
| Value | Count | Frequency (%) |
| 0 | 2680 | |
| 1 | 551 | 5.5% |
| 2 | 2114 | |
| 3 | 654 | 6.5% |
| 4 | 1306 | |
| 5 | 494 | 4.9% |
| 6 | 715 | 7.1% |
| 7 | 344 | 3.4% |
| 8 | 365 | 3.6% |
| 9 | 188 | 1.9% |
| Value | Count | Frequency (%) |
| 24 | 2 | < 0.1% |
| 23 | 1 | < 0.1% |
| 22 | 2 | < 0.1% |
| 21 | 1 | < 0.1% |
| 20 | 6 | 0.1% |
| 19 | 7 | 0.1% |
| 18 | 11 | 0.1% |
| 17 | 17 | |
| 16 | 17 | |
| 15 | 31 |
| Distinct | 79 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 2680 |
| Missing (%) | 26.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.754097541 |
| Minimum | 0 |
|---|---|
| Maximum | 1 |
| Zeros | 363 |
| Zeros (%) | 3.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.167 |
| Q1 | 0.5 |
| median | 0.8 |
| Q3 | 1 |
| 95-th percentile | 1 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 0.2714031396 |
|---|---|
| Coefficient of variation (CV) | 0.3599045546 |
| Kurtosis | 0.6687269877 |
| Mean | 0.754097541 |
| Median Absolute Deviation (MAD) | 0.2 |
| Skewness | -1.086776978 |
| Sum | 5519.994 |
| Variance | 0.07365966421 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 2911 | |
| 0.5 | 1180 | |
| 0.75 | 608 | 6.1% |
| 0.667 | 454 | 4.5% |
| 0 | 363 | 3.6% |
| 0.833 | 260 | 2.6% |
| 0.8 | 221 | 2.2% |
| 0.333 | 124 | 1.2% |
| 0.857 | 122 | 1.2% |
| 0.6 | 121 | 1.2% |
| Other values (69) | 956 | 9.6% |
| (Missing) | 2680 |
| Value | Count | Frequency (%) |
| 0 | 363 | |
| 0.143 | 1 | < 0.1% |
| 0.167 | 4 | < 0.1% |
| 0.188 | 1 | < 0.1% |
| 0.2 | 10 | 0.1% |
| 0.222 | 1 | < 0.1% |
| 0.25 | 73 | 0.7% |
| 0.273 | 2 | < 0.1% |
| 0.286 | 9 | 0.1% |
| 0.3 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 2911 | |
| 0.952 | 1 | < 0.1% |
| 0.944 | 4 | < 0.1% |
| 0.941 | 3 | < 0.1% |
| 0.938 | 1 | < 0.1% |
| 0.933 | 4 | < 0.1% |
| 0.929 | 1 | < 0.1% |
| 0.923 | 8 | 0.1% |
| 0.917 | 20 | 0.2% |
| 0.909 | 33 | 0.3% |
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.4014 |
| Minimum | 0 |
|---|---|
| Maximum | 12 |
| Zeros | 3669 |
| Zeros (%) | 36.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.618066703 |
|---|---|
| Coefficient of variation (CV) | 1.154607323 |
| Kurtosis | 3.447051684 |
| Mean | 1.4014 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.629560505 |
| Sum | 14014 |
| Variance | 2.618139854 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 3669 | |
| 1 | 2709 | |
| 2 | 1660 | |
| 3 | 942 | 9.4% |
| 4 | 465 | 4.7% |
| 5 | 285 | 2.9% |
| 6 | 138 | 1.4% |
| 7 | 60 | 0.6% |
| 8 | 43 | 0.4% |
| 9 | 15 | 0.1% |
| Other values (3) | 14 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 3669 | |
| 1 | 2709 | |
| 2 | 1660 | |
| 3 | 942 | 9.4% |
| 4 | 465 | 4.7% |
| 5 | 285 | 2.9% |
| 6 | 138 | 1.4% |
| 7 | 60 | 0.6% |
| 8 | 43 | 0.4% |
| 9 | 15 | 0.1% |
| Value | Count | Frequency (%) |
| 12 | 2 | < 0.1% |
| 11 | 3 | < 0.1% |
| 10 | 9 | 0.1% |
| 9 | 15 | 0.1% |
| 8 | 43 | 0.4% |
| 7 | 60 | 0.6% |
| 6 | 138 | 1.4% |
| 5 | 285 | 2.9% |
| 4 | 465 | |
| 3 | 942 |
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.1311 |
| Minimum | 0 |
|---|---|
| Maximum | 22 |
| Zeros | 521 |
| Zeros (%) | 5.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 22 |
| Range | 22 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.889523789 |
|---|---|
| Coefficient of variation (CV) | 0.699456268 |
| Kurtosis | 1.393469635 |
| Mean | 4.1311 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.059629781 |
| Sum | 41311 |
| Variance | 8.349347725 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 3 | 1586 | |
| 2 | 1536 | |
| 4 | 1383 | |
| 1 | 1222 | |
| 5 | 1117 | |
| 6 | 815 | |
| 7 | 565 | 5.7% |
| 0 | 521 | 5.2% |
| 8 | 393 | 3.9% |
| 9 | 310 | 3.1% |
| Other values (11) | 552 | 5.5% |
| Value | Count | Frequency (%) |
| 0 | 521 | 5.2% |
| 1 | 1222 | |
| 2 | 1536 | |
| 3 | 1586 | |
| 4 | 1383 | |
| 5 | 1117 | |
| 6 | 815 | |
| 7 | 565 | 5.7% |
| 8 | 393 | 3.9% |
| 9 | 310 | 3.1% |
| Value | Count | Frequency (%) |
| 22 | 1 | < 0.1% |
| 20 | 1 | < 0.1% |
| 18 | 4 | < 0.1% |
| 17 | 7 | 0.1% |
| 16 | 9 | 0.1% |
| 15 | 17 | 0.2% |
| 14 | 29 | 0.3% |
| 13 | 66 | |
| 12 | 84 | |
| 11 | 119 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.5325 |
| Minimum | 0 |
|---|---|
| Maximum | 30 |
| Zeros | 294 |
| Zeros (%) | 2.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 13 |
| Maximum | 30 |
| Range | 30 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.757040762 |
|---|---|
| Coefficient of variation (CV) | 0.6790855421 |
| Kurtosis | 1.530422009 |
| Mean | 5.5325 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.097718028 |
| Sum | 55325 |
| Variance | 14.11535529 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 4 | 1265 | |
| 3 | 1224 | |
| 5 | 1135 | |
| 2 | 1120 | |
| 6 | 951 | |
| 7 | 790 | |
| 1 | 761 | |
| 8 | 556 | |
| 10 | 431 | 4.3% |
| 9 | 405 | 4.0% |
| Other values (17) | 1362 |
| Value | Count | Frequency (%) |
| 0 | 294 | 2.9% |
| 1 | 761 | |
| 2 | 1120 | |
| 3 | 1224 | |
| 4 | 1265 | |
| 5 | 1135 | |
| 6 | 951 | |
| 7 | 790 | |
| 8 | 556 | |
| 9 | 405 | 4.0% |
| Value | Count | Frequency (%) |
| 30 | 1 | < 0.1% |
| 29 | 1 | < 0.1% |
| 26 | 2 | < 0.1% |
| 24 | 3 | < 0.1% |
| 22 | 5 | 0.1% |
| 21 | 4 | < 0.1% |
| 20 | 14 | 0.1% |
| 19 | 18 | 0.2% |
| 18 | 32 | |
| 17 | 51 |
| Distinct | 23 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.0906 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 1643 |
| Zeros (%) | 16.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 9 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.890610178 |
|---|---|
| Coefficient of variation (CV) | 0.9352909397 |
| Kurtosis | 2.407713962 |
| Mean | 3.0906 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.390017319 |
| Sum | 30906 |
| Variance | 8.355627203 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 1 | 1960 | |
| 2 | 1663 | |
| 0 | 1643 | |
| 3 | 1310 | |
| 4 | 963 | |
| 5 | 677 | 6.8% |
| 6 | 515 | 5.1% |
| 7 | 377 | 3.8% |
| 8 | 304 | 3.0% |
| 9 | 207 | 2.1% |
| Other values (13) | 381 | 3.8% |
| Value | Count | Frequency (%) |
| 0 | 1643 | |
| 1 | 1960 | |
| 2 | 1663 | |
| 3 | 1310 | |
| 4 | 963 | |
| 5 | 677 | 6.8% |
| 6 | 515 | 5.1% |
| 7 | 377 | 3.8% |
| 8 | 304 | 3.0% |
| 9 | 207 | 2.1% |
| Value | Count | Frequency (%) |
| 24 | 1 | < 0.1% |
| 21 | 2 | < 0.1% |
| 20 | 1 | < 0.1% |
| 19 | 2 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 5 | 0.1% |
| 16 | 8 | 0.1% |
| 15 | 12 | 0.1% |
| 14 | 22 | |
| 13 | 40 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9905 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 4128 |
| Zeros (%) | 41.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.105138852 |
|---|---|
| Coefficient of variation (CV) | 1.115738367 |
| Kurtosis | 2.366148327 |
| Mean | 0.9905 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.324729184 |
| Sum | 9905 |
| Variance | 1.221331883 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 3232 | |
| 2 | 1692 | |
| 3 | 633 | 6.3% |
| 4 | 223 | 2.2% |
| 5 | 66 | 0.7% |
| 6 | 19 | 0.2% |
| 7 | 4 | < 0.1% |
| 8 | 2 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 3232 | |
| 2 | 1692 | |
| 3 | 633 | 6.3% |
| 4 | 223 | 2.2% |
| 5 | 66 | 0.7% |
| 6 | 19 | 0.2% |
| 7 | 4 | < 0.1% |
| 8 | 2 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 10 | 1 | < 0.1% |
| 8 | 2 | < 0.1% |
| 7 | 4 | < 0.1% |
| 6 | 19 | 0.2% |
| 5 | 66 | 0.7% |
| 4 | 223 | 2.2% |
| 3 | 633 | 6.3% |
| 2 | 1692 | |
| 1 | 3232 | |
| 0 | 4128 |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6375 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 6081 |
| Zeros (%) | 60.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.029174266 |
|---|---|
| Coefficient of variation (CV) | 1.614391006 |
| Kurtosis | 8.168555537 |
| Mean | 0.6375 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.36131449 |
| Sum | 6375 |
| Variance | 1.05919967 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 6081 | |
| 1 | 2446 | |
| 2 | 896 | 9.0% |
| 3 | 343 | 3.4% |
| 4 | 131 | 1.3% |
| 5 | 63 | 0.6% |
| 6 | 26 | 0.3% |
| 7 | 7 | 0.1% |
| 9 | 4 | < 0.1% |
| 10 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 6081 | |
| 1 | 2446 | |
| 2 | 896 | 9.0% |
| 3 | 343 | 3.4% |
| 4 | 131 | 1.3% |
| 5 | 63 | 0.6% |
| 6 | 26 | 0.3% |
| 7 | 7 | 0.1% |
| 8 | 1 | < 0.1% |
| 9 | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 10 | 2 | < 0.1% |
| 9 | 4 | < 0.1% |
| 8 | 1 | < 0.1% |
| 7 | 7 | 0.1% |
| 6 | 26 | 0.3% |
| 5 | 63 | 0.6% |
| 4 | 131 | 1.3% |
| 3 | 343 | 3.4% |
| 2 | 896 | 9.0% |
| 1 | 2446 |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.8336 |
| Minimum | 0 |
|---|---|
| Maximum | 11 |
| Zeros | 1993 |
| Zeros (%) | 19.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.535625884 |
|---|---|
| Coefficient of variation (CV) | 0.8374923013 |
| Kurtosis | 1.343992725 |
| Mean | 1.8336 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.019648821 |
| Sum | 18336 |
| Variance | 2.358146855 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 1 | 2858 | |
| 2 | 2316 | |
| 0 | 1993 | |
| 3 | 1451 | |
| 4 | 798 | 8.0% |
| 5 | 354 | 3.5% |
| 6 | 132 | 1.3% |
| 7 | 64 | 0.6% |
| 8 | 21 | 0.2% |
| 9 | 8 | 0.1% |
| Other values (2) | 5 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 1993 | |
| 1 | 2858 | |
| 2 | 2316 | |
| 3 | 1451 | |
| 4 | 798 | 8.0% |
| 5 | 354 | 3.5% |
| 6 | 132 | 1.3% |
| 7 | 64 | 0.6% |
| 8 | 21 | 0.2% |
| 9 | 8 | 0.1% |
| Value | Count | Frequency (%) |
| 11 | 1 | < 0.1% |
| 10 | 4 | < 0.1% |
| 9 | 8 | 0.1% |
| 8 | 21 | 0.2% |
| 7 | 64 | 0.6% |
| 6 | 132 | 1.3% |
| 5 | 354 | 3.5% |
| 4 | 798 | 8.0% |
| 3 | 1451 | |
| 2 | 2316 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.4527 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 906 |
| Zeros (%) | 9.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.471862544 |
|---|---|
| Coefficient of variation (CV) | 0.6000988885 |
| Kurtosis | -0.5869261602 |
| Mean | 2.4527 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.2386265296 |
| Sum | 24527 |
| Variance | 2.166379348 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 2472 | |
| 3 | 2236 | |
| 1 | 1938 | |
| 4 | 1501 | |
| 0 | 906 | 9.1% |
| 5 | 749 | 7.5% |
| 6 | 198 | 2.0% |
| Value | Count | Frequency (%) |
| 0 | 906 | 9.1% |
| 1 | 1938 | |
| 2 | 2472 | |
| 3 | 2236 | |
| 4 | 1501 | |
| 5 | 749 | 7.5% |
| 6 | 198 | 2.0% |
| Value | Count | Frequency (%) |
| 6 | 198 | 2.0% |
| 5 | 749 | 7.5% |
| 4 | 1501 | |
| 3 | 2236 | |
| 2 | 2472 | |
| 1 | 1938 | |
| 0 | 906 | 9.1% |
| Distinct | 57 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.7209 |
| Minimum | 0 |
|---|---|
| Maximum | 60 |
| Zeros | 255 |
| Zeros (%) | 2.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 7 |
| median | 13 |
| Q3 | 19 |
| 95-th percentile | 29 |
| Maximum | 60 |
| Range | 60 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.386586712 |
|---|---|
| Coefficient of variation (CV) | 0.611227158 |
| Kurtosis | 0.7686638001 |
| Mean | 13.7209 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.7692020791 |
| Sum | 137209 |
| Variance | 70.33483667 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 525 | 5.2% |
| 8 | 522 | 5.2% |
| 10 | 519 | 5.2% |
| 12 | 500 | 5.0% |
| 14 | 483 | 4.8% |
| 11 | 457 | 4.6% |
| 9 | 436 | 4.4% |
| 4 | 431 | 4.3% |
| 13 | 418 | 4.2% |
| 15 | 413 | 4.1% |
| Other values (47) | 5296 |
| Value | Count | Frequency (%) |
| 0 | 255 | |
| 1 | 35 | 0.4% |
| 2 | 387 | |
| 3 | 197 | 2.0% |
| 4 | 431 | |
| 5 | 319 | |
| 6 | 525 | |
| 7 | 365 | |
| 8 | 522 | |
| 9 | 436 |
| Value | Count | Frequency (%) |
| 60 | 1 | < 0.1% |
| 57 | 2 | |
| 55 | 1 | < 0.1% |
| 54 | 1 | < 0.1% |
| 52 | 1 | < 0.1% |
| 51 | 3 | |
| 50 | 2 | |
| 49 | 1 | < 0.1% |
| 48 | 2 | |
| 47 | 3 |
| Distinct | 436 |
|---|---|
| Distinct (%) | 4.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.66643 |
| Minimum | -8.3 |
|---|---|
| Maximum | 52.4 |
| Zeros | 27 |
| Zeros (%) | 0.3% |
| Negative | 545 |
| Negative (%) | 5.5% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | -8.3 |
|---|---|
| 5-th percentile | -0.2 |
| Q1 | 5.1 |
| median | 9.8 |
| Q3 | 15.4 |
| 95-th percentile | 24.3 |
| Maximum | 52.4 |
| Range | 60.7 |
| Interquartile range (IQR) | 10.3 |
Descriptive statistics
| Standard deviation | 7.640758612 |
|---|---|
| Coefficient of variation (CV) | 0.7163370136 |
| Kurtosis | 0.5257829089 |
| Mean | 10.66643 |
| Median Absolute Deviation (MAD) | 5.1 |
| Skewness | 0.6431959966 |
| Sum | 106664.3 |
| Variance | 58.38119217 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.2 | 67 | 0.7% |
| 8.9 | 66 | 0.7% |
| 9.8 | 65 | 0.7% |
| 9 | 64 | 0.6% |
| 6.7 | 61 | 0.6% |
| 9.2 | 60 | 0.6% |
| 10.1 | 60 | 0.6% |
| 6.3 | 60 | 0.6% |
| 9.9 | 60 | 0.6% |
| 9.4 | 60 | 0.6% |
| Other values (426) | 9377 |
| Value | Count | Frequency (%) |
| -8.3 | 1 | < 0.1% |
| -8.2 | 1 | < 0.1% |
| -7.8 | 1 | < 0.1% |
| -6.6 | 2 | |
| -6.5 | 1 | < 0.1% |
| -6.2 | 1 | < 0.1% |
| -5.8 | 1 | < 0.1% |
| -5.6 | 1 | < 0.1% |
| -5.5 | 3 | |
| -5.4 | 2 |
| Value | Count | Frequency (%) |
| 52.4 | 1 | |
| 47.5 | 1 | |
| 45.9 | 1 | |
| 44.8 | 2 | |
| 44.7 | 1 | |
| 43.8 | 1 | |
| 43.2 | 1 | |
| 42.9 | 1 | |
| 41.8 | 2 | |
| 40.5 | 1 |
| Distinct | 87 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3717 |
| Minimum | -41 |
|---|---|
| Maximum | 50 |
| Zeros | 346 |
| Zeros (%) | 3.5% |
| Negative | 4783 |
| Negative (%) | 47.8% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | -41 |
|---|---|
| 5-th percentile | -19 |
| Q1 | -8 |
| median | 0 |
| Q3 | 9 |
| 95-th percentile | 21 |
| Maximum | 50 |
| Range | 91 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 12.18752611 |
|---|---|
| Coefficient of variation (CV) | 32.78860939 |
| Kurtosis | -0.05436422127 |
| Mean | 0.3717 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.0876015207 |
| Sum | 3717 |
| Variance | 148.5357927 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 346 | 3.5% |
| -3 | 326 | 3.3% |
| -2 | 326 | 3.3% |
| 4 | 325 | 3.2% |
| 1 | 316 | 3.2% |
| 2 | 316 | 3.2% |
| -6 | 315 | 3.1% |
| -4 | 314 | 3.1% |
| 3 | 305 | 3.0% |
| -1 | 305 | 3.0% |
| Other values (77) | 6806 |
| Value | Count | Frequency (%) |
| -41 | 2 | < 0.1% |
| -40 | 3 | < 0.1% |
| -39 | 1 | < 0.1% |
| -38 | 2 | < 0.1% |
| -37 | 2 | < 0.1% |
| -36 | 3 | < 0.1% |
| -35 | 1 | < 0.1% |
| -34 | 4 | < 0.1% |
| -33 | 4 | < 0.1% |
| -32 | 12 |
| Value | Count | Frequency (%) |
| 50 | 1 | < 0.1% |
| 48 | 1 | < 0.1% |
| 47 | 1 | < 0.1% |
| 44 | 1 | < 0.1% |
| 43 | 2 | < 0.1% |
| 41 | 2 | < 0.1% |
| 40 | 1 | < 0.1% |
| 38 | 4 | |
| 37 | 5 | |
| 36 | 3 |
| Distinct | 1035 |
|---|---|
| Distinct (%) | 10.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| Paul Pierce | 59 |
|---|---|
| Tim Duncan | 56 |
| Joe Johnson | 55 |
| Pau Gasol | 55 |
| Ben Wallace | 51 |
| Other values (1030) |
Length
| Max length | 24 |
|---|---|
| Median length | 12 |
| Mean length | 12.7175 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 186 ? |
|---|---|
| Unique (%) | 1.9% |
Sample
| 1st row | Raja Bell |
|---|---|
| 2nd row | Kevin Garnett |
| 3rd row | Stephen Curry |
| 4th row | Antonio McDyess |
| 5th row | Miles Plumlee |
Common Values
| Value | Count | Frequency (%) |
| Paul Pierce | 59 | 0.6% |
| Tim Duncan | 56 | 0.6% |
| Joe Johnson | 55 | 0.5% |
| Pau Gasol | 55 | 0.5% |
| Ben Wallace | 51 | 0.5% |
| Stephen Curry | 50 | 0.5% |
| Kevin Garnett | 50 | 0.5% |
| Andre Miller | 49 | 0.5% |
| LeBron James | 48 | 0.5% |
| Rasheed Wallace | 47 | 0.5% |
| Other values (1025) | 9480 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| williams | 169 | 0.8% |
| kevin | 169 | 0.8% |
| chris | 158 | 0.8% |
| paul | 144 | 0.7% |
| james | 139 | 0.7% |
| johnson | 139 | 0.7% |
| allen | 132 | 0.7% |
| miller | 127 | 0.6% |
| jason | 126 | 0.6% |
| andre | 125 | 0.6% |
| Other values (1363) | 18629 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. 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.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | DATE | AGE | TEAM | HOME/AWAY | OPPONENT | RESULT | GS | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GAME_SCORE | +/- | Player | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 324 | 2007-02-27 | 30-161 | PHO | AWAY | IND | W (+11) | 1 | 41:10 | 4 | 12 | 0.333 | 1 | 5 | 0.200 | 2 | 2 | 1.000 | 0 | 4 | 4 | 3 | 1 | 0 | 1 | 2 | 11 | 6.7 | 11 | Raja Bell |
| 1 | 907 | 2014-01-31 | 37-257 | BRK | HOME | OKC | L (-25) | 1 | 12:14 | 0 | 4 | 0.000 | 0 | 0 | NaN | 0 | 0 | NaN | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 4 | 0 | -4.4 | -12 | Kevin Garnett |
| 2 | 46 | 2011-02-05 | 22-328 | GSW | HOME | CHI | W (+11) | 1 | 44:17 | 9 | 15 | 0.600 | 2 | 4 | 0.500 | 3 | 3 | 1.000 | 1 | 5 | 6 | 8 | 1 | 0 | 2 | 1 | 23 | 22.5 | 14 | Stephen Curry |
| 3 | 88 | 2008-02-22 | 33-168 | DET | HOME | MIL | W (+27) | 1 | 25:22 | 7 | 10 | 0.700 | 0 | 0 | NaN | 1 | 2 | 0.500 | 3 | 4 | 7 | 3 | 1 | 1 | 0 | 4 | 15 | 15.9 | 10 | Antonio McDyess |
| 4 | 279 | 2014-11-15 | 26-075 | PHO | AWAY | LAC | L (-13) | 1 | 18:36 | 4 | 8 | 0.500 | 0 | 0 | NaN | 0 | 0 | NaN | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 8 | 7.4 | -11 | Miles Plumlee |
| 5 | 67 | 2021-04-23 | 30-356 | LAC | AWAY | HOU | W (+5) | 1 | 33:55 | 10 | 27 | 0.370 | 3 | 10 | 0.300 | 10 | 10 | 1.000 | 2 | 12 | 14 | 4 | 2 | 0 | 7 | 3 | 33 | 19.7 | -3 | Paul George |
| 6 | 393 | 2014-02-28 | 27-254 | UTA | AWAY | CLE | L (-20) | 1 | 26:12 | 2 | 10 | 0.200 | 1 | 3 | 0.333 | 0 | 0 | NaN | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 5 | -0.9 | -2 | Marvin Williams |
| 7 | 190 | 2012-11-25 | 24-029 | PHI | HOME | PHO | W (+3) | 1 | 31:56 | 4 | 13 | 0.308 | 3 | 5 | 0.600 | 5 | 6 | 0.833 | 1 | 8 | 9 | 3 | 0 | 0 | 2 | 3 | 16 | 10.1 | 2 | Evan Turner |
| 8 | 17 | 2012-03-10 | 21-186 | WAS | HOME | POR | L (-11) | 1 | 38:00 | 9 | 19 | 0.474 | 0 | 0 | NaN | 7 | 10 | 0.700 | 1 | 3 | 4 | 8 | 0 | 0 | 0 | 1 | 25 | 20.9 | -7 | John Wall |
| 9 | 358 | 2015-02-28 | 27-289 | MIL | AWAY | UTA | L (-7) | 1 | 33:51 | 4 | 13 | 0.308 | 1 | 4 | 0.250 | 3 | 4 | 0.750 | 3 | 2 | 5 | 0 | 0 | 0 | 1 | 3 | 12 | 4.6 | -4 | Ersan İlyasova |
Last rows
| df_index | DATE | AGE | TEAM | HOME/AWAY | OPPONENT | RESULT | GS | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GAME_SCORE | +/- | Player | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9990 | 329 | 2009-03-01 | 23-007 | BOS | HOME | DET | L (-10) | 1 | 31:25 | 2 | 7 | 0.286 | 0 | 1 | 0.000 | 4 | 4 | 1.000 | 0 | 6 | 6 | 6 | 1 | 0 | 3 | 4 | 8 | 6.3 | -9 | Rajon Rondo |
| 9991 | 148 | 1999-11-05 | 34-091 | SAS | AWAY | HOU | W (+10) | 1 | 34:06 | 4 | 7 | 0.571 | 0 | 0 | NaN | 2 | 2 | 1.000 | 2 | 9 | 11 | 0 | 1 | 3 | 1 | 2 | 10 | 12.1 | 7 | David Robinson |
| 9992 | 216 | 2016-04-09 | 21-046 | MIN | AWAY | POR | W (+1) | 1 | 32:17 | 9 | 22 | 0.409 | 0 | 3 | 0.000 | 5 | 6 | 0.833 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 4 | 23 | 9.9 | -8 | Andrew Wiggins |
| 9993 | 87 | 2012-02-15 | 39-133 | PHO | HOME | ATL | L (-2) | 1 | 37:08 | 8 | 11 | 0.727 | 1 | 2 | 0.500 | 1 | 2 | 0.500 | 0 | 6 | 6 | 2 | 1 | 0 | 2 | 1 | 18 | 14.9 | 7 | Grant Hill |
| 9994 | 438 | 2015-12-23 | 28-222 | DET | AWAY | ATL | L (-7) | 1 | 33:01 | 2 | 9 | 0.222 | 1 | 5 | 0.200 | 0 | 0 | NaN | 2 | 5 | 7 | 1 | 1 | 0 | 1 | 3 | 5 | 1.9 | 0 | Ersan İlyasova |
| 9995 | 2 | 2002-04-13 | 25-353 | SAS | AWAY | MEM | W (+21) | 1 | 30:45 | 12 | 17 | 0.706 | 1 | 1 | 1.000 | 5 | 5 | 1.000 | 1 | 13 | 14 | 7 | 2 | 4 | 2 | 3 | 30 | 34.0 | 26 | Tim Duncan |
| 9996 | 52 | 2004-12-04 | 29-217 | IND | AWAY | GSW | L (-8) | 1 | 36:45 | 5 | 11 | 0.455 | 1 | 5 | 0.200 | 8 | 8 | 1.000 | 3 | 11 | 14 | 1 | 1 | 0 | 3 | 3 | 19 | 16.2 | 0 | Austin Croshere |
| 9997 | 70 | 2007-01-23 | 25-017 | WAS | HOME | PHO | L (-22) | 1 | 39:29 | 11 | 25 | 0.440 | 3 | 9 | 0.333 | 6 | 8 | 0.750 | 1 | 4 | 5 | 5 | 1 | 0 | 2 | 4 | 31 | 19.9 | -25 | Gilbert Arenas |
| 9998 | 178 | 2000-12-08 | 21-264 | SAC | HOME | HOU | W (+13) | 1 | 37:19 | 5 | 9 | 0.556 | 1 | 1 | 1.000 | 5 | 6 | 0.833 | 1 | 3 | 4 | 1 | 0 | 3 | 1 | 4 | 16 | 13.1 | 6 | Hedo Türkoğlu |
| 9999 | 437 | 2004-01-22 | 22-310 | CLE | HOME | SAC | L (-6) | 1 | 18:11 | 2 | 6 | 0.333 | 1 | 4 | 0.250 | 0 | 0 | NaN | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 0 | 5 | 0.9 | -7 | Kedrick Brown |