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| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.543192 | 0.691862 | 0.582316 | 0.471987 | 0.62144 | [unnamed category #0] |
| [unnamed data series #0] | 0.540845 | 0.821753 | 0.601095 | 0.420344 | 0.6723 | [unnamed category #1] | |
|
| title | [unnamed data series #0] |
| c.-625 A>C | 0.508295 |
| c.-458 G>A | 0.486315 |
| c.-261 G>A | 0.456092 |
| c.-233 C>T | 0.645673 |
| c.-232 G>A | 0.560499 |
| WT | 1.00011 |
| Basic | 0.0137377 | |
|
| title | Current and required workforce
|---------|----------|
| Additional Generalist Physical
Activity Workforce | 49.2746 |
| Current Generalist Physical
Activity Workforce | 331.782 |
| Additional Specialist Physical
Activity Workforce | 52.5595 |
| Current Specialist Physical
Activity Workforce | 45.9896 |
| Additional Generalist Nutrition
Workforce | 59.1295 |
| Current Generalist Nutrition
Workforce | 525.595 |
| Additional Specialist Nutrition
Workforce | 78.8393 |
| Current Specialist Nutrition
Workforce | 49.2746 | |
|
| title | Male |
| Tobacco(active) | 62.1 |
| Alcohol(excessive use) | 35.9 |
| Benzodla zepine misuse | 22.3 |
| Ilicit drug use(active) | 40.8 |
| Cannabis | 29 |
| Cocaine(active) | 20 |
| Cocaine(previous use) | 12.2 |
| Heroin(active) | 12.2 |
| Heroin(previous use) | 5.5 |
| Tobacco(active) | 50.9 |
| Alcohol(excessive use) | 12 |
| Benzodla zepine misuse | 12 |
| Ilicit drug use(active) | 28.7 |
| Cannabis | 17.6 |
| Cocaine(active) | 9.3 |
| Cocaine(previous use) | 6.5 |
| Heroin(active) | 13 |
| Heroin(previous use) | 2.8 |
| Tobacco(active) | 61.5 |
| Alcohol(excessive use) | 34.8 |
| Benzodla zepine misuse | 21.8 |
| Ilicit drug use(active) | 40.2 |
| Cannabis | 28.4 |
| Cocaine(active) | 19.5 |
| Cocaine(previous use) | 11.9 |
| Heroin(active) | 12.3 |
| Heroin(previous use) | 5.3 | |
|
| Category | X | Y |
| Sudbury | 6.87079 | 18.39 |
| Calgary | 9.87079 | 13.6809 |
| Edmonton | 9.46067 | 13.7965 |
| Halton | 8.92135 | 13.0923 |
| York | 8.28989 | 12.1974 |
| Peel | 7.83708 | 13.0923 |
| Toronto | 7.36966 | 11.4108 |
| Quebec | 6.9 | 12.0122 |
| London | 6.96966 | 14.198 |
| Halifax | 7.83933 | 17.8949 |
| Regina | 7.43933 | 17.088 |
| Niagara | 6.88876 | 16.2078 |
| Windsor | 7.34944 | 16.5892 |
| Waterloo | 7.43034 | 16.2958 |
| Kingston | 7.18989 | 15.1956 |
| Hamilton | 7.38989 | 17.8949 |
| Saskatoon | 7.23933 | 18.2029 |
| Winnipeg | 7.16067 | 16.5012 |
| Ottawa | 8.59888 | 12.8044 |
| Vancouver | 7.71798 | 6.11491 | |
|
| title | NICKEL |
| WARD 7 | 2.28674e-07 |
| WARD 5 | 1.75289e-07 |
| WARD 4 | 3.60209e-07 |
| WARD 1 | 2.83159e-07 |
| WARD 7 | 1.92625e-09 |
| WARD 5 | 1.34838e-08 |
| WARD 4 | 1.92625e-09 |
| WARD 1 | 5.77876e-09 |
| WARD 7 | 1.99752e-06 |
| WARD 5 | 1.51211e-06 |
| WARD 4 | 3.26885e-06 |
| WARD 1 | 2.55999e-06 |
| WARD 7 | 4.79637e-07 |
| WARD 5 | 3.64062e-07 |
| WARD 4 | 7.72427e-07 |
| WARD 1 | 6.02917e-07 |
| WARD 7 | 2.14777e-06 |
| WARD 5 | 1.62768e-06 |
| WARD 4 | 3.50771e-06 |
| WARD 1 | 2.7372e-06 | |
|
| title | Youth (N=177) |
| Religious reasons (%) | 81.9 |
| Improved hygiene (%) | 50.3 |
| Cultural reasons (%) | 58.8 |
| Prevention of HIV (%) | 20.3 |
| Protection against STDs (%) | 10.2 |
| Enhanced sexual pleasure (%) | 6.4 |
| Social acceptability (%) | 4.5 |
| Religious reasons (%) | 74.9 |
| Improved hygiene (%) | 73.1 |
| Cultural reasons (%) | 49 |
| Prevention of HIV (%) | 8 |
| Protection against STDs (%) | 4.4 |
| Enhanced sexual pleasure (%) | 8.5 |
| Social acceptability (%) | 4.8 | |
|
| title | RESPECT population |
| never smoker | 52.3145 |
| current and ex-smoker | 47.8757 |
| never smoker | 26.9499 |
| current and ex-smoker | 73.8744 |
| never smoker | 64.3627 |
| current and ex-smoker | 35.8275 |
| never smoker | 47.2416 |
| current and ex-smoker | 52.9486 |
| never smoker | 21.877 |
| current and ex-smoker | 78.3133 |
| never smoker | 68.1674 |
| current and ex-smoker | 32.0228 | |
|
| title | [unnamed data series #0] |
| * LLA | 24 |
| Antidiabetic | 21.7 |
| Antihypertensive | 25.3 |
| Antiplatelet | 5.3 |
| Cardiovascular agents | 4 |
| Others | 19.7 | |
|
| title | [unnamed data series #0] |
| Chromosome organization | 6.39191 |
| Chromatin organization | 5.62326 |
| Regulation of transcription | 3.92415 |
| Chromatin modification | 3.64096 |
| RNA splicing | 1.94185 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.840587 | 1.50073 | 1.02249 | 0.476773 | 1.14866 | PN1 |
| [unnamed data series #0] | 0.676284 | 2.12274 | 0.969682 | 0.183374 | 1.44205 | PN2 |
| [unnamed data series #0] | 0.641076 | 1.79413 | 1.12812 | 0.306601 | 1.48313 | PN3 |
| [unnamed data series #0] | 0.605868 | 1.89389 | 1.06357 | 0.353545 | 1.38924 | PN4 | |
|
| title | [unnamed data series #0] |
| Not eat the whole day & night | 3.3 |
| Sleep hungry | 9.6 |
| Any type of food not available | 10.2 |
| Reduce frequency of meal | 25.5 |
| Reduce amount of meal | 35.8 |
| Eat unwanted food types | 29.3 |
| Reduce food varieties | 52 |
| Not eat what you want | 60.5 |
| Worry about food | 51.1 | |
|
| Category | X | Y |
| MgO | air | 530.482 |
| MgO | 10 | 530.989 |
| MH | 10 | 531.986 |
| MH | air | 531.194 |
| HMC | 10 | 533.229 |
| HMC | air | 531.979 | |
|
| Category | X | Y |
| A_{fn} | -0.0245902 | 0.956863 |
| D_{fn} | 0.971311 | -0.118768 |
| H_{fs} | 0.851776 | 0.307003 |
| D_{fh} | 0.943306 | 0.0138189 |
| L_{df} | 0.961066 | -0.0870215 |
| L_{1} | 0.946038 | -0.113165 |
| L_{m} | 0.933743 | -0.0888889 |
| H_{f} | 0.906421 | 0.161345 | |
|
| title | Co-stigma |
| Model 1 (Additive) | 20.1461 |
| Model 2 (Completely
Overlapping) | 0.194461 |
| Model 3 (Partially
Overlapping) | 10.3453 |
| Model 1 (Additive) | -0.012964 |
| Model 2 (Completely
Overlapping) | 19.9776 |
| Model 3 (Partially
Overlapping) | 9.95639 |
| Model 1 (Additive) | 19.835 |
| Model 2 (Completely
Overlapping) | 0 |
| Model 3 (Partially
Overlapping) | 9.86564 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 1.96838 | 9.01186 | 3.6996 | 0.0948617 | 4.93281 | [unnamed category #0] |
| [unnamed data series #0] | 3.67589 | 9.79447 | 5.02767 | 0.0948617 | 6.18972 | [unnamed category #1] |
| [unnamed data series #1] | 1.8498 | 10.1265 | 3.86561 | 0.0948617 | 5.19368 | [unnamed category #0] |
| [unnamed data series #1] | 3.34387 | 9.77075 | 4.7668 | 0.0474308 | 6 | [unnamed category #1] |
| [unnamed data series #2] | 2.67984 | 9.15415 | 4.29249 | 0.0711462 | 5.43083 | [unnamed category #0] |
| [unnamed data series #2] | 2.86957 | 9.8419 | 4.48221 | 0.0711462 | 5.73913 | [unnamed category #1] | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 3.07377 | 10.0638 | 4.16667 | 0.113843 | 6.102 | before
intervention |
| [unnamed data series #0] | 17.5546 | 25.0911 | 21.6075 | 15.0956 | 24.1348 | 1st |
| [unnamed data series #0] | 11.1339 | 16.1202 | 14.0938 | 10.1321 | 16.1202 | 2nd |
| [unnamed data series #0] | 13.092 | 22.0856 | 14.5947 | 12.0902 | 18.5792 | 3rd |
| [unnamed data series #0] | 11.5893 | 20.082 | 15.5965 | 11.0883 | 19.6266 | 4th |
| [unnamed data series #0] | 4.62204 | 9.10747 | 8.08288 | 1.02459 | 8.56102 | 5th | |
|
| title | Alcohol |
| Mouth | 38 |
| Lungs | 97 |
| Ears | 4 |
| Brain | 37 |
| Liver | 34 |
| Esophagus | 15 |
| Kidneys | 33 |
| Bladder | 8 |
| Heart | 78 |
| Blood circulation | 55 |
| Fetus | 74 |
| Mouth | 14 |
| Lungs | 20 |
| Ears | 3 |
| Brain | 49 |
| Liver | 62 |
| Esophagus | 26 |
| Kidneys | 48 |
| Bladder | 32 |
| Heart | 54 |
| Blood circulation | 54 |
| Fetus | 59 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | -0.244578 | 0.725626 | 0.0658876 | -0.619723 | 0.311673 | 0 |
| [unnamed data series #0] | 2.21327 | 4.01138 | 3.01531 | 1.68289 | 3.49394 | 5 |
| [unnamed data series #0] | 3.35165 | 4.91691 | 3.68798 | 2.87301 | 4.32185 | 50 |
| [unnamed data series #0] | 4.90397 | 7.09016 | 5.18856 | 4.5547 | 5.64133 | 5000 | |
|
| Category | X | Y |
| US | 2009.21 | 5.46498 |
| US | 2008.4 | 5.46498 |
| US | 2003.26 | 1.96256 |
| US | 1995.03 | 0.766153 |
| US | 1988.09 | 1.92104 |
| US | 1982.09 | 7.0388 |
| US | 1976.08 | 9.23536 |
| US | 1973.1 | 9.5071 |
| US | 1970.15 | 9.93735 |
| US | 1965.12 | 1.10583 |
| Maryland | 1973.1 | 19.7985 |
| Maryland | 1977.07 | 14.9524 |
| Maryland | 1978.08 | 13.8202 |
| Maryland | 1981.08 | 8.15897 |
| Maryland | 1983.05 | 5.66803 |
| Maryland | 1985.07 | 4.03759 |
| Maryland | 1988 | 1.04846 |
| Maryland | 1989.06 | 0.776721 |
| Maryland | 1990.02 | 0.572917 |
| Maryland | 1991.08 | 0.459692 |
| Maryland | 1992.07 | 0.255888 |
| Maryland | 1993.05 | 0.233243 |
| Maryland | 1994.04 | 0.346467 |
| Maryland | 1995.05 | 0.414402 |
| Maryland | 1996.03 | 0.346467 |
| Maryland | 1996.97 | 0.278533 |
| Maryland | 1998.03 | 0.391757 |
| Maryland | 1999.01 | 0.550272 |
| Maryland | 2000.04 | 0.640851 |
| Maryland | 2001.69 | 0.935236 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 55.2808 | 154.483 | 64.0545 | 52.6319 | 75.0059 | ICP-MS |
| [unnamed data series #0] | 61.8469 | 707.884 | 68.7091 | 49.7597 | 84.5055 | PXRF |
| [unnamed data series #0] | 54.1296 | 615.223 | 59.2978 | 42.9439 | 72.9305 | Adj.PXRF | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.491577 | 0.760796 | 0.574273 | 0.306891 | 0.628484 | 2007 |
| [unnamed data series #0] | 0.384074 | 0.586217 | 0.425421 | 0.260031 | 0.471363 | 2008 |
| [unnamed data series #0] | 0.532006 | 0.77366 | 0.599081 | 0.373966 | 0.641348 | 2009 |
| [unnamed data series #0] | 0.437366 | 0.67075 | 0.484227 | 0.345482 | 0.545789 | 2010 |
| [unnamed data series #0] | 0.492496 | 0.679939 | 0.550383 | 0.346401 | 0.594487 | 2011 |
| [unnamed data series #0] | 0.550383 | 0.846248 | 0.60827 | 0.416233 | 0.677182 | 2012 | |
|
| Category | X | Y |
| Intervention | 127.061 | -42.2098 |
| Intervention | 104.207 | -32.1086 |
| Intervention | 78.3285 | -21.1502 |
| Intervention | 83.0548 | -21.8211 |
| Intervention | 84.3228 | -13.099 |
| Intervention | 78.8473 | -11.459 |
| Intervention | 73.6023 | -11.3845 |
| Intervention | 71.1816 | -7.88072 |
| Intervention | 68.2421 | -5.56976 |
| Intervention | 69.3948 | -5.56976 |
| Intervention | 72.7954 | -6.53887 |
| Intervention | 73.7176 | -7.0607 |
| Intervention | 70.951 | -3.33333 |
| Intervention | 74.2363 | -4.15335 |
| Intervention | 73.4294 | -2.43876 |
| Intervention | 73.6599 | -0.947817 |
| Intervention | 72.5072 | -0.27689 |
| Intervention | 70.8357 | 2.25772 |
| Intervention | 69.6254 | 0.170394 |
| Intervention | 68.1268 | -0.873269 |
| Intervention | 76.6571 | -5.56976 |
| Intervention | 76.2536 | -0.57508 |
| Intervention | 81.6715 | -7.13525 |
| Intervention | 84.6686 | 5.23962 |
| Intervention | 85.9942 | -4.2279 |
| Intervention | 94.2939 | -5.6443 |
| Intervention | 95.6772 | -2.14058 |
| Intervention | 96.9452 | -6.76251 |
| Intervention | 98.2709 | -2.73695 |
| Intervention | 98.2709 | -12.279 |
| Intervention | 101.268 | -14.2918 |
| Intervention | 102.824 | -4.97338 |
| Intervention | 104.15 | -7.73163 |
| Intervention | 104.841 | -6.98616 |
| Intervention | 104.957 | -5.34611 |
| Intervention | 110.548 | -5.71885 |
| Intervention | 111.182 | -7.58253 |
| Intervention | 111.758 | -2.8115 |
| Intervention | 99.6542 | 15.1544 |
| Intervention | 102.709 | 4.64324 |
| Intervention | 60.7493 | -5.19702 |
| Intervention | 62.7666 | -3.63152 |
| Intervention | 63.8617 | -2.73695 |
| Intervention | 64.0346 | -5.27157 |
| Intervention | 62.6513 | -8.6262 |
| Reference | 60.8069 | -8.10437 |
| Reference | 57.4063 | 0.841321 |
| Reference | 61.5562 | 6.20873 |
| Reference | 66.6859 | -5.04792 |
| Reference | 67.781 | -0.202343 |
| Reference | 69.683 | 0.543131 |
| Reference | 71.7003 | 0.394036 |
| Reference | 72.4496 | -1.61874 |
| Reference | 73.487 | 0.468584 |
| Reference | 72.4496 | 2.48136 |
| Reference | 76.196 | -2.51331 |
| Reference | 77.2334 | 1.4377 |
| Reference | 77.0029 | 5.76145 |
| Reference | 78.6744 | 4.64324 |
| Reference | 81.3256 | -1.69329 |
| Reference | 80.5764 | -5.27157 |
| Reference | 83.5159 | -7.43344 |
| Reference | 86.3401 | -1.99148 |
| Reference | 85.8213 | -1.24601 |
| Reference | 89.683 | -11.2354 |
| Reference | 90.1441 | -7.58253 |
| Reference | 89.2219 | 1.81044 |
| Reference | 89.049 | 4.56869 |
| Reference | 95.7925 | 2.18317 |
| Reference | 96.7723 | 1.66134 |
| Reference | 96.7147 | 5.23962 |
| Reference | 97.6369 | 8.07242 |
| Reference | 61.8444 | 1.06496 |
| Reference | 100.403 | 4.79233 |
| Reference | 99.9424 | 0.990415 |
| Reference | 103.112 | 2.92865 |
| Reference | 105.764 | -2.88605 |
| Reference | 99.9424 | -10.4899 |
| Reference | 110.836 | -0.202343 | |
|
| title | 3 days |
| TCP | 0.613508 |
| W—D glass ceramic foam | 0.464212 |
| TCP | 1.19482 |
| W—D glass ceramic foam | 0.89717 | |
|
| title | Blank |
| 24 | 0.179524 |
| 72 | 0.504147 |
| 24 | 0.199144 |
| 72 | 0.496121 |
| 24 | 0.188442 |
| 72 | 0.528226 |
| 24 | 0.206278 |
| 72 | 0.421208 |
| 24 | 0.212521 |
| 72 | 0.46669 | |
|
| title | [unnamed data series #0] |
| other reasons | 0.148108 |
| forced | 0.0164564 |
| symptoms | 0.082282 |
| test recommended | 0.13348 |
| to have condomless sex with partner | 0.144451 |
| routine | 0.484549 |
| perceived risks | 0.671055 | |
|
| title | 0wt% |
| 1 | 0.171605 |
| 3 | 0.574152 |
| 5 | 0.651287 |
| 1 | 0.146697 |
| 3 | 0.641645 |
| 5 | 0.61754 |
| 1 | 0.117771 |
| 3 | 0.709138 |
| 5 | 0.738063 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.360964 | 0.675846 | 0.509466 | 0.246988 | 0.625359 | Ershovskoye |
| [unnamed data series #0] | 0.561768 | 1.00057 | 0.722892 | 0.447791 | 0.898451 | Martsy |
| [unnamed data series #0] | 0.412869 | 0.771084 | 0.565691 | 0.363454 | 0.713712 | Malysh |
| [unnamed data series #0] | 0.691752 | 1.00402 | 0.805508 | 0.62249 | 0.954676 | Goluboy |
| [unnamed data series #1] | 0.158467 | 0.574297 | 0.337349 | 0.00401606 | 0.486517 | Ershovskoye |
| [unnamed data series #1] | 0.309208 | 0.81354 | 0.509466 | 0.214859 | 0.709122 | Martsy |
| [unnamed data series #1] | 0.224366 | 0.935743 | 0.555364 | 0.0037292 | 0.787149 | Malysh |
| [unnamed data series #1] | 0.485104 | 0.889558 | 0.686173 | 0.35743 | 0.827309 | Goluboy | |
|
| title | [unnamed data series #0] |
| L.pn. sg.1 | 0.476415 |
| L.pn. sg.6 | 0.129245 |
| L.pn. sg.10 | 0.0632075 |
| L.pn. sg.14 | 0.0386792 |
| L.pn. sg.8 | 0.0386792 |
| L.pn. sg.7 | 0.0292453 |
| L.pn. sg.13 | 0.0292453 |
| L.gormanii | 0.0141509 |
| L.pn. sg.3 | 0.0103774 |
| L.pn. sg.12 | 0.0122642 |
| L.micdadei | 0.00660377 |
| L.bozomanii | 0.00471698 |
| L.pn sg.1+L.pn sg.6 | 0.0367925 |
| L.pn sg.1+L.pn sg.14 | 0.0254717 |
| L.pn sg.7+L.pn sg.8 | 0.0254717 |
| L.pn sg.6+L.pn sg.7 | 0.0235849 |
| L.pn sg.1+L.pn sg.8 | 0.0216981 |
| L.pn sg.1+L.pn sg.3 | 0.0179245 |
| L.pn sg.1+L.pn sg.10 | 0.0179245 |
| L.pn sg.1+L.pn sg.7 | 0.0160377 |
| L.pn sg.6+L.pn sg.7+L.pn sg.8 | 0.0160377 |
| L.pn sg.3+L.pn sg.11+L.pn sg.13 | 0.00849057 |
| L.pn sg.6+L.pn sg.10 | 0.0122642 |
| L.pn. sg.1+L.pn sg.3+L.pn sg.11+L.pn sg.13 | 0.00660377 |
| L.pn sg.8+L.pn sg.12 | 0.00660377 |
| L.pn sg.1+L.pn sg.6+L.pn sg.10 | 0.00660377 |
| L.pn sg.7+L.pn sg.14 | 0.00660377 |
| L.pn sg.1+L.pn sg.12 | 0.00283019 |
| L.pn sg.6+L.pn sg.12 | 0.00471698 |
| L.pn sg.1+L.pn sg.11+L.pn sg.13 | 0.00283019 |
| L.pn sg.6+L.pn sg.8 | 0.00283019 |
| L.pn. sg.6+L.bozemanli | 0.000943396 |
| L.pn. sg.5+L.gormanli | -0.00188679 | |
|
| title | Lineal (y = 55.12 - 0.789x; R2=0.98) |
| 0 | 54.7103 |
| 5 | 51.0831 |
| 10 | 48.8161 |
| 15 | 43.073 |
| 20 | 38.8413 | |
|
| Category | X | Y |
| [unnamed data series #0] | 9.86862 | -0.00780107 |
| [unnamed data series #0] | 11.0465 | 0.0117016 |
| [unnamed data series #0] | 11.8222 | 0.0117016 |
| [unnamed data series #0] | 10.8311 | 0.226231 |
| [unnamed data series #0] | 10.9891 | 0.499269 |
| [unnamed data series #0] | 10.5222 | 0.333496 |
| [unnamed data series #0] | 10.7018 | 0.518771 |
| [unnamed data series #0] | 10.5581 | 0.65529 |
| [unnamed data series #0] | 10.4432 | 0.616285 |
| [unnamed data series #0] | 10.6731 | 0.908825 |
| [unnamed data series #0] | 10.4576 | 1.04534 |
| [unnamed data series #0] | 10.357 | 0.889322 |
| [unnamed data series #0] | 10.2708 | 0.635787 |
| [unnamed data series #0] | 10.2134 | 1.27938 |
| [unnamed data series #0] | 10.0985 | 1.18186 |
| [unnamed data series #0] | 9.81116 | 1.74744 |
| [unnamed data series #0] | 9.7537 | 1.61092 |
| [unnamed data series #0] | 9.59569 | 1.90346 |
| [unnamed data series #0] | 9.39458 | 2.11799 |
| [unnamed data series #0] | 9.23657 | 2.31302 |
| [unnamed data series #0] | 9.07856 | 2.46904 |
| [unnamed data series #0] | 8.74817 | 2.76158 |
| [unnamed data series #0] | 8.4896 | 2.9176 |
| [unnamed data series #0] | 7.9581 | 3.15163 |
| [unnamed data series #0] | 7.45533 | 3.28815 |
| [unnamed data series #0] | 7.02439 | 3.40517 |
| [unnamed data series #0] | 6.66527 | 3.42467 |
| [unnamed data series #0] | 6.36361 | 3.48318 |
| [unnamed data series #0] | 6.07631 | 3.44417 |
| [unnamed data series #0] | 5.57354 | 3.42467 |
| [unnamed data series #0] | 4.98459 | 3.32716 |
| [unnamed data series #0] | 4.6542 | 3.28815 |
| [unnamed data series #0] | 4.28071 | 3.21014 |
| [unnamed data series #0] | 3.95032 | 3.09313 |
| [unnamed data series #0] | 3.60557 | 2.99561 |
| [unnamed data series #0] | 3.39009 | 2.9176 |
| [unnamed data series #0] | 3.0597 | 2.78108 |
| [unnamed data series #0] | 2.82987 | 2.66407 |
| [unnamed data series #0] | 2.45638 | 2.44954 |
| [unnamed data series #0] | 2.15472 | 2.27401 |
| [unnamed data series #0] | 1.93925 | 2.13749 |
| [unnamed data series #0] | 1.76687 | 2.03998 |
| [unnamed data series #0] | 1.93925 | 1.4549 |
| [unnamed data series #0] | 1.52267 | 1.84495 |
| [unnamed data series #0] | 1.3072 | 1.68893 |
| [unnamed data series #0] | 1.12045 | 1.49391 |
| [unnamed data series #0] | 1.0199 | 1.37689 |
| [unnamed data series #0] | 0.904983 | 1.27938 |
| [unnamed data series #0] | 0.818794 | 1.20137 |
| [unnamed data series #0] | 0.689511 | 1.06485 |
| [unnamed data series #0] | 0.596139 | 0.928328 |
| [unnamed data series #0] | 0.488403 | 0.782058 |
| [unnamed data series #0] | 0.416579 | 0.65529 |
| [unnamed data series #0] | 0.301661 | 0.518771 |
| [unnamed data series #0] | 0.244202 | 0.382253 | |
|
| title | [unnamed data series #0] |
| Control | 94.5546 |
| Direct electrodeposition | 79.6096 |
| Electrochemical hydrogel lithography
(indirect electrodeposition) | 86.1844 | |
|
| title | handedness |
| electrophoresis (3-1) | 0 |
| centrifugation (3-2) | 0.0372936 |
| chromatography (4-1) | 0 |
| selective solubilization (4-2) | 0.0745871 |
| selective reaction (4-3) | 0 |
| electrophoresis (3-1) | 0 |
| centrifugation (3-2) | 0.178476 |
| chromatography (4-1) | 0.157166 |
| selective solubilization (4-2) | 0.253063 |
| selective reaction (4-3) | 0.109217 |
| electrophoresis (3-1) | 0.149174 |
| centrifugation (3-2) | 0.247736 |
| chromatography (4-1) | 0.0932339 |
| selective solubilization (4-2) | 0.343633 |
| selective reaction (4-3) | 0.258391 |
| electrophoresis (3-1) | 0.149174 |
| centrifugation (3-2) | 0.109217 |
| chromatography (4-1) | 0.562067 |
| selective solubilization (4-2) | 0.0213106 |
| selective reaction (4-3) | 0.00266383 |
| electrophoresis (3-1) | 0.700586 |
| centrifugation (3-2) | 0.426212 |
| chromatography (4-1) | 0.186468 |
| selective solubilization (4-2) | 0.30634 |
| selective reaction (4-3) | 0.628663 | |
|
| Category | X | Y |
| [unnamed data series #0] | 1.85905 | -2.25233 |
| [unnamed data series #0] | 2.27602 | 1.56105 |
| [unnamed data series #0] | -0.340283 | 1.27708 |
| [unnamed data series #0] | -0.765432 | 0.157404 |
| [unnamed data series #0] | -1.23146 | -0.175254 |
| [unnamed data series #0] | -1.74655 | -0.540365 | |
|
| title | Coarse |
| Na | 0.418502 |
| Mg | 0.528634 |
| Al | 0.572687 |
| K | 0.165198 |
| Ti | 0.517621 |
| V | 0.0704846 |
| Cr | 0.367841 |
| Mn | 0.262115 |
| Fe | 0.431718 |
| Ni | 0.292952 |
| Cu | 0.198238 |
| Zn | 0.101322 |
| Cd | 0.0286344 |
| Pb | 0.0748899 |
| Na | 0.517621 |
| Mg | 0.407489 |
| Al | 0.361233 |
| K | 0.751101 |
| Ti | 0.361233 |
| V | 0.792952 |
| Cr | 0.422907 |
| Mn | 0.680617 |
| Fe | 0.460352 |
| Ni | 0.596916 |
| Cu | 0.678414 |
| Zn | 0.803965 |
| Cd | 0.896476 |
| Pb | 0.848018 |
| Na | 0.0638767 |
| Mg | 0.0638767 |
| Al | 0.0660793 |
| K | 0.0837004 |
| Ti | 0.121145 |
| V | 0.136564 |
| Cr | 0.209251 |
| Mn | 0.0572687 |
| Fe | 0.10793 |
| Ni | 0.110132 |
| Cu | 0.123348 |
| Zn | 0.0947137 |
| Cd | 0.0748899 |
| Pb | 0.0770925 | |
|
| title | a/c = 0.2 |
| 0.1 | 8.6272 |
| 0.2 | 8.7642 |
| 0.3 | 7.39426 |
| 0.4 | 5.33935 |
| 0.5 | 2.32548 |
| 0.6 | 1.91449 |
| 0.7 | 4.79137 |
| 0.8 | 6.02432 |
| 0.1 | 6.2983 |
| 0.2 | 6.2983 |
| 0.3 | 6.02432 |
| 0.4 | 5.33935 |
| 0.5 | 3.83241 |
| 0.6 | 1.91449 |
| 0.7 | 0.33906 |
| 0.8 | 0.955534 |
| 0.1 | 8.21622 |
| 0.2 | 8.21622 |
| 0.3 | 7.80524 |
| 0.4 | 7.25726 |
| 0.5 | 6.16131 |
| 0.6 | 4.92836 |
| 0.7 | 3.01045 |
| 0.8 | 2.32548 |
| 0.1 | 12.6 |
| 0.2 | 12.0521 |
| 0.3 | 11.6411 |
| 0.4 | 11.3671 |
| 0.5 | 10.2711 |
| 0.6 | 9.03819 |
| 0.7 | 7.12027 |
| 0.8 | 6.57229 | |
|
| Category | X | Y |
| Microemulsion | 0.199587 | 0.701856 |
| Microemulsion | 0.198981 | 0.598794 |
| Microemulsion | 0.199587 | 0.501879 |
| Microemulsion | 0.199511 | 0.303315 |
| Microemulsion | 0.399502 | 0.302994 |
| Microemulsion | 0.499541 | 0.30282 |
| Microemulsion | 0.800007 | 0.40298 |
| Microemulsion | 0.499574 | 0.502299 |
| Microemulsion | 0.399659 | 0.501939 |
| Microemulsion | 0.399708 | 0.701881 |
| Microemulsion | 0.499879 | 0.701856 |
| Microemulsion | 0.599765 | 0.702082 |
| Microemulsion | 0.599369 | 0.600685 |
| Microemulsion | 0.501092 | 0.600685 |
| Microemulsion | 0.400388 | 0.598794 |
| Milky / 2-Phase Solution | -0.0012133 | 0.598794 |
| Milky / 2-Phase Solution | -2.5863e-17 | 0.697128 |
| Milky / 2-Phase Solution | 0.197768 | 0.799244 |
| Milky / 2-Phase Solution | 0.400388 | 0.799244 |
| Milky / 2-Phase Solution | 0.498665 | 0.797353 |
| Milky / 2-Phase Solution | 0.497452 | 0.999693 |
| Milky / 2-Phase Solution | 0.600582 | 0.799244 |
| Milky / 2-Phase Solution | 0.799563 | 0.799244 |
| Milky / 2-Phase Solution | 0.799301 | 0.701923 |
| Milky / 2-Phase Solution | 0.79835 | 0.598794 |
| Milky / 2-Phase Solution | 0.79835 | 0.496679 |
| Milky / 2-Phase Solution | 1.00097 | 0.402127 | |
|
| title | [unnamed data series #0] |
| 4-fold | 0.172671 |
| UTR | 0.114371 |
| Intron 1 | 0.152513 |
| Intron >1 | 0.158047 |
| Intergenic | 0.153501 |
| Intronic | 0.159628 |
| Intergenic | 0.167335 |
| 4-fold | 0.143422 |
| UTR | 0.102909 |
| Intron 1 | 0.142236 |
| Intron >1 | 0.149549 |
| Intergenic | 0.145398 |
| Intronic | 0.154885 |
| Intergenic | 0.162987 | |
|
| title | unhealthy snacks |
| 25% healthy at top shelves | 23 |
| 25% healthy at bottom shelves | 41 |
| 75% healthy at bottom shelves | 10 |
| 75% healthy at top shelves | 17 |
| 25% healthy at top shelves | 33 |
| 25% healthy at bottom shelves | 11 |
| 75% healthy at bottom shelves | 65 |
| 75% healthy at top shelves | 91 | |
|
| Category | X | Y |
| A | 300 | 19.9346 |
| A | 521 | 21.953 |
| A | 1019 | 16.8842 |
| A | 385 | 13.9025 |
| A | 200 | 13.9025 |
| A | 883 | 20.9209 |
| A | 1082 | 20.8979 |
| A | 739 | 16.953 |
| A | 503 | 21.953 |
| A | 879 | 21.93 |
| B | 300 | 21.9071 |
| B | 521 | 21.9071 |
| B | 1019 | 21.8842 |
| B | 385 | 18.9255 |
| B | 883 | 25.9209 |
| B | 200 | 20.9209 |
| B | 1082 | 25.8979 |
| B | 739 | 21.93 |
| B | 503 | 27.9622 |
| B | 879 | 23.9484 |
| C | 300 | 21.953 |
| C | 521 | 15.9209 |
| C | 1019 | 17.8933 |
| C | 385 | 18.9025 |
| C | 883 | 20.9438 |
| C | 200 | 19.9346 |
| C | 1082 | 24.8658 |
| C | 739 | 23.9255 |
| C | 503 | 20.9438 |
| C | 879 | 20.9438 |
| mean | 300 | 21.2534 |
| mean | 521 | 19.9461 |
| mean | 1019 | 18.9484 |
| mean | 385 | 17.2626 |
| mean | 883 | 22.6067 |
| mean | 200 | 18.2947 |
| mean | 1082 | 23.9599 |
| mean | 503 | 23.6273 |
| mean | 739 | 20.9553 |
| mean | 879 | 22.2511 | |
|
| Category | X | Y |
| CEP_{90%} | 30.0042 | 0.572464 |
| CEP_{90%} | 28.0083 | 1.00725 |
| CEP_{80%} | 27.9958 | 1.51449 |
| CEP_{80%} | 32 | 0.5 |
| CEP_{90%} | 30.0166 | 0.862319 |
| CEP_{80%} | 28.0083 | 5.57246 |
| CEP_{90%} | 30.0042 | 3.18116 |
| CEP_{90%} | 32 | 3.18116 |
| CEP_{90%} | 32 | 3.25362 |
| CEP_{90%} | 30.0042 | 3.9058 |
| CEP_{80%} | 32 | 2.74638 |
| CEP_{90%} | 30.0042 | 2.52899 |
| CEP_{90%} | 27.9958 | 2.02174 |
| CEP_{90%} | 29.0062 | 1.5628 |
| CEP_{90%} | 28.0042 | 20.5242 |
| CEP_{90%} | 29.0021 | 15.1618 | |
|
| Category | X | Y |
| [unnamed data series #0] | 9.96069 | 1.40836 |
| [unnamed data series #0] | 9.96069 | 1.27596 |
| [unnamed data series #0] | 12.9854 | 0.976307 |
| [unnamed data series #0] | 14.9634 | 1.24111 |
| [unnamed data series #0] | 16.0206 | 2.71847 |
| [unnamed data series #0] | 15.9367 | 2.14007 |
| [unnamed data series #0] | 23.9811 | 1.68711 |
| [unnamed data series #0] | 22.9855 | 2.377 |
| [unnamed data series #0] | 28.9457 | 1.45017 |
| [unnamed data series #0] | 30.0389 | 0.683624 |
| [unnamed data series #0] | 50.0665 | 0.586063 |
| [unnamed data series #1] | 10.0131 | 1.10174 |
| [unnamed data series #1] | 10.0395 | 0.44669 |
| [unnamed data series #1] | 12.9514 | 0.244599 |
| [unnamed data series #1] | 15.0028 | 0.0912892 |
| [unnamed data series #1] | 15.9785 | 0.112195 |
| [unnamed data series #1] | 22.864 | 0.328223 |
| [unnamed data series #1] | 23.8543 | 0.0355401 |
| [unnamed data series #1] | 29.881 | 0.279443 |
| [unnamed data series #1] | 28.9457 | 2.46063 |
| [unnamed data series #1] | 49.9336 | 2.7115 | |
|
| title | 30 wt% [100 rpm] |
| T@50% weight loss | 1.15912 |
| DTUL | 1.3594 |
| Crystallization temperature | 1.09602 |
| Maximum Stress | 1.18656 |
| Flexural modulus | 1.84499 |
| Tensile modulus | 2.00137 |
| T@50% weight loss | 1.16461 |
| DTUL | 1.36763 |
| Crystallization temperature | 1.09328 |
| Maximum Stress | 1.17284 |
| Flexural modulus | 1.83402 |
| Tensile modulus | 1.93004 |
| T@50% weight loss | 1.12071 |
| DTUL | 1.19753 |
| Crystallization temperature | 1.05213 |
| Maximum Stress | 1.14815 |
| Flexural modulus | 1.40329 |
| Tensile modulus | 1.39506 |
| T@50% weight loss | 1.12071 |
| DTUL | 1.2085 |
| Crystallization temperature | 1.04938 |
| Maximum Stress | 1.10974 |
| Flexural modulus | 1.36763 |
| Tensile modulus | 1.27709 |
| T@50% weight loss | 1.09328 |
| DTUL | 1.14815 |
| Crystallization temperature | 1.03567 |
| Maximum Stress | 1.01646 |
| Flexural modulus | 1.07956 |
| Tensile modulus | 1.17558 |
| T@50% weight loss | 1.06859 |
| DTUL | 1.10425 |
| Crystallization temperature | 1.03567 |
| Maximum Stress | 1.0192 |
| Flexural modulus | 1.06859 |
| Tensile modulus | 1.07682 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 3.46571 | 9.56277 | 5.27578 | 1.59214 | 6.19669 | \frac{Col}{Col} |
| [unnamed data series #0] | 1.08405 | 1.51275 | 1.13169 | 0.861764 | 1.43336 | \frac{Ler}{Ler} |
| [unnamed data series #0] | 0.830009 | 1.51275 | 1.03642 | 0.575965 | 1.27459 | \frac{Col}{Ler} |
| [unnamed data series #0] | 4.48189 | 8.10201 | 5.22814 | 3.05289 | 6.08554 | \frac{Ler}{Col} | |
|
| Category | X | Y |
| [unnamed data series #0] | 1 | 1.7987 |
| [unnamed data series #0] | 1 | 1.45011 |
| [unnamed data series #0] | 1 | 1.19482 |
| [unnamed data series #0] | 1 | 0.84622 |
| [unnamed data series #0] | 1 | 0.724406 |
| [unnamed data series #0] | 1 | 0.323974 |
| [unnamed data series #0] | 1 | 0.138661 |
| [unnamed data series #0] | 1 | 0.0803456 |
| [unnamed data series #0] | 2 | 2.13434 |
| [unnamed data series #0] | 2 | 1.49806 |
| [unnamed data series #0] | 2 | 0.923974 |
| [unnamed data series #0] | 2 | 0.666091 |
| [unnamed data series #0] | 2 | 0.24622 |
| [unnamed data series #0] | 2 | 0.191793 |
| [unnamed data series #0] | 8 | 3.05054 |
| [unnamed data series #0] | 8 | 2.38834 |
| [unnamed data series #0] | 8 | 2.05659 |
| [unnamed data series #0] | 8 | 1.97624 |
| [unnamed data series #0] | 8 | 1.78056 |
| [unnamed data series #0] | 8 | 1.28035 |
| [unnamed data series #0] | 8 | 0.851404 |
| [unnamed data series #0] | 8 | 0.702376 |
| [unnamed data series #0] | 8 | 0.418575 |
| [unnamed data series #0] | 8 | 0.371922 |
| [unnamed data series #0] | 64 | 2.14212 |
| [unnamed data series #0] | 64 | 2.07343 |
| [unnamed data series #0] | 64 | 1.71188 |
| [unnamed data series #0] | 64 | 1.49158 |
| [unnamed data series #0] | 64 | 1.37883 |
| [unnamed data series #0] | 64 | 1.2622 |
| [unnamed data series #0] | 64 | 1.12225 |
| [unnamed data series #0] | 64 | 0.726998 |
| [unnamed data series #0] | 64 | 0.566307 |
| [unnamed data series #0] | 64 | 0.366739 |
| [unnamed data series #0] | 64 | 0.329158 |
| [unnamed data series #0] | 64 | 0.253996 |
| [unnamed data series #0] | 8 | 3.57257 | |
|
| title | Male |
| 17-25 | 276.145 |
| 26-30 | 148.72 |
| 31-35 | 208.989 |
| 36-40 | 334.692 |
| 41-45 | 460.395 |
| 46-50 | 460.395 |
| 51-55 | 394.96 |
| 56-60 | 293.365 |
| 61-65 | 171.105 |
| 66+ | 35.0706 |
| 17-25 | 279.589 |
| 26-30 | 176.271 |
| 31-35 | 183.159 |
| 36-40 | 305.418 |
| 41-45 | 350.189 |
| 46-50 | 281.311 |
| 51-55 | 257.204 |
| 56-60 | 227.93 |
| 61-65 | 134.944 |
| 66+ | 28.1828 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.0994941 | 0.401349 | 0.141653 | 0.0118044 | 0.22597 | Con |
| [unnamed data series #0] | 0.0910624 | 0.300169 | 0.129005 | 0.0168634 | 0.178752 | Ca | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | -0.0454887 | 0.776692 | -0.0201128 | -0.0607143 | 0.0137218 | S1 |
| [unnamed data series #0] | -0.0471805 | 0.578759 | -0.0201128 | -0.0640977 | 0.0120301 | S2 |
| [unnamed data series #0] | -0.0488722 | 0.414662 | -0.0370301 | -0.062406 | 0.00864662 | S3 |
| [unnamed data series #0] | -0.0488722 | 0.776692 | -0.00827068 | -0.062406 | 0.0577068 | S4 |
| [unnamed data series #0] | -0.0471805 | 0.582143 | -0.00996241 | -0.0640977 | 0.00695489 | S5 |
| [unnamed data series #0] | -0.0454887 | 0.778383 | -0.0201128 | -0.0640977 | 0.00864662 | S6 |
| [unnamed data series #0] | -0.0421053 | 0.778383 | -0.00319549 | -0.062406 | 0.081391 | S7 |
| [unnamed data series #0] | -0.0488722 | 0.582143 | -0.0353383 | -0.0607143 | 0.00695489 | S8 |
| [unnamed data series #0] | -0.0471805 | 0.41297 | -0.0218045 | -0.062406 | 0.00864662 | S9 |
| [unnamed data series #0] | 0.41297 | 0.998308 | 0.582143 | -0.0539474 | 0.775 | S10 |
| [unnamed data series #0] | -0.0471805 | 0.578759 | -0.0218045 | -0.062406 | 0.00864662 | S11 |
| [unnamed data series #0] | -0.0454887 | 0.580451 | -0.0218045 | -0.0640977 | 0.0103383 | S12 |
| [unnamed data series #0] | 1.00169 | 1.00169 | 1.00169 | 0.414662 | 1.00169 | S13 |
| [unnamed data series #0] | -0.0471805 | 0.580451 | -0.0218045 | -0.0590226 | 0.0103383 | S14 |
| [unnamed data series #0] | -0.0471805 | 0.578759 | -0.0201128 | -0.0607143 | 0.00695489 | S15 | |
|
| title | Control |
| 0-3 | 2.46785 |
| 4-5 | 16.6319 |
| 6-7 | 39.3987 |
| 8-9 | 32.447 |
| 10-11 | 9.33264 |
| 12-16 | 0.469239 |
| 0-3 | 1.85958 |
| 4-5 | 14.8071 |
| 6-7 | 35.2277 |
| 8-9 | 33.8373 |
| 10-11 | 14.1988 |
| 12-16 | 1.85958 | |
|
| title | [unnamed data series #0] |
| Active disease | 0.689563 |
| Inactive disease | 1.74121 | |
|
| Category | X | Y |
| Mass | -0.000150376 | 0.0125339 |
| Mass | -7.5188e-05 | -0.00500521 |
| Mass | -0.000992481 | -0.000317708 |
| Pressure | -0.0110902 | 0.0634714 |
| Pressure | -0.000225564 | -0.00216667 |
| Temprature | -0.0083609 | 0.0771563 |
| Temprature | 0.00130827 | 0.02825 |
| Temprature | 0.00463158 | -0.02175 |
| Temprature | 0.00678697 | -0.0233906 |
| Time | 0.00324812 | -0.0175833 |
| Time | 0.00170426 | -8.33333e-05 |
| Time | -0.0058386 | 0.0697917 |
| Pressure Rate | -0.00269674 | 0.00767708 |
| Pressure Rate | 0.00193233 | -0.0106953 |
| Pressure Rate | 0.00250376 | -0.0138203 |
| Moisture Content | -0.00420802 | 0.0211276 |
| Moisture Content | -0.00909774 | 0.085737 |
| Moisture Content | 0.00188471 | 0.0165833 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.0940381 | 0.353827 | 0.138013 | 0.0378858 | 0.219197 | NW Con |
| [unnamed data series #0] | 0.0872727 | 0.28482 | 0.135307 | 0.0148837 | 0.190782 | NW Ca |
| [unnamed data series #0] | 0.108922 | 0.389006 | 0.151543 | 0.0527696 | 0.221903 | OW Con |
| [unnamed data series #0] | 0.092685 | 0.321353 | 0.129894 | 0.0135307 | 0.190782 | OW Ca |
| [unnamed data series #0] | 0.0886258 | 0.326765 | 0.13666 | 0.00541226 | 0.205666 | Ob Con |
| [unnamed data series #0] | 0.0859197 | 0.268584 | 0.124482 | 0.0311205 | 0.170486 | Ob Ca | |
|
| title | Dynamic Image |
| Pre-test | 1.82005 |
| Post-test | 2.10085 |
| Pre-test | 1.79287 |
| Post-test | 2.20048 |
| Pre-test | 1.38527 |
| Post-test | 2.0465 | |
|
| Category | X | Y |
| [unnamed data series #0] | -0.0336732 | 451.225 |
| [unnamed data series #0] | 0.415303 | 430.829 |
| [unnamed data series #0] | 1.31325 | 441.027 |
| [unnamed data series #0] | 0.56122 | 412.558 |
| [unnamed data series #0] | 0.325507 | 401.511 |
| [unnamed data series #0] | 0.0112244 | 390.888 |
| [unnamed data series #0] | 0.0112244 | 381.54 |
| [unnamed data series #0] | -0.0112244 | 370.493 |
| [unnamed data series #0] | -0.0336732 | 280.838 |
| [unnamed data series #0] | -0.0224488 | 271.065 |
| [unnamed data series #0] | -0.0336732 | 251.095 |
| [unnamed data series #0] | 1.67243 | 300.808 |
| [unnamed data series #0] | 1.49284 | 311.006 |
| [unnamed data series #0] | 2.33467 | 321.629 |
| [unnamed data series #0] | 2.51426 | 330.552 |
| [unnamed data series #0] | 3.25507 | 339.9 |
| [unnamed data series #0] | 4.92751 | 361.57 |
| [unnamed data series #0] | 6.17342 | 291.036 |
| [unnamed data series #0] | 8.08156 | 351.797 | |
|
| title | Fasted, Chow |
| Adamts9 | 0.92692 |
| Camk1d | 1.07218 |
| Ext2 | 1.07218 |
| Hhex | 0.999548 |
| Jazf1 | 1.03586 |
| Lgr5 | 0.963234 |
| ‘l’span8 | 0.963234 |
| Adamts9 | 1.36269 |
| Camk1d | 1.10849 |
| Ext2 | 1.36269 |
| Hhex | 1.21743 |
| Jazf1 | 0.999548 |
| Lgr5 | 1.36269 |
| ‘l’span8 | 0.890606 |
| Adamts9 | 4.84884 |
| Camk1d | 7.5724 |
| Ext2 | 2.48843 |
| Hhex | 1.94371 |
| Jazf1 | 3.50522 |
| Lgr5 | 4.52202 |
| ‘l’span8 | 0.382208 | |
|
| Category | X | Y |
| Microemulsion | 0.600567 | 0.495902 |
| Microemulsion | 0.602144 | 0.395492 |
| Microemulsion | 0.501261 | 0.395492 |
| Microemulsion | 0.501261 | 0.497951 |
| Microemulsion | 0.403531 | 0.493852 |
| Microemulsion | 0.401955 | 0.395492 |
| Microemulsion | 0.201765 | 0.297131 |
| Microemulsion | 0.00315259 | 0.29918 |
| Milky / 2-Phase Solution | 0.200189 | 0.696721 |
| Milky / 2-Phase Solution | 0.200189 | 0.60041 |
| Milky / 2-Phase Solution | 0.201765 | 0.493852 |
| Milky / 2-Phase Solution | 0.403531 | 0.69877 |
| Milky / 2-Phase Solution | 0.401955 | 0.598361 |
| Milky / 2-Phase Solution | 0.502837 | 0.79918 |
| Milky / 2-Phase Solution | 0.501261 | 0.696721 |
| Milky / 2-Phase Solution | 0.501261 | 0.598361 |
| Milky / 2-Phase Solution | 0.598991 | 0.797131 |
| Milky / 2-Phase Solution | 0.602144 | 0.69877 |
| Milky / 2-Phase Solution | 0.602144 | 0.598361 |
| Milky / 2-Phase Solution | 0.79918 | 0.797131 |
| Milky / 2-Phase Solution | 0.802333 | 0.696721 |
| Milky / 2-Phase Solution | 0.79918 | 0.594262 |
| Milky / 2-Phase Solution | 0.800757 | 0.493852 |
| Milky / 2-Phase Solution | 0.800757 | 0.397541 |
| Milky / 2-Phase Solution | 0.79918 | 0.297131 |
| Milky / 2-Phase Solution | 0.999369 | 0.29918 | |
|
| title | [unnamed data series #0] |
| Ante-natal clinics | 0.76 |
| Labour and Delivery ward | 0.42 |
| Post-natal clinics | 0.38 |
| Community support | 0.42 | |
|
| title | [unnamed data series #0] |
| DNA | 0.156906 |
| SINE | 0.156585 |
| LTR | 0.161087 |
| LINE | 0.164785 |
| DNA | 0.154655 |
| SINE | 0.159479 |
| LTR | 0.164946 |
| LINE | 0.177328 |
| DNA | 0.148384 |
| SINE | 0.152404 |
| LTR | 0.15562 |
| LINE | 0.159157 |
| DNA | 0.145007 |
| SINE | 0.154977 |
| LTR | 0.161087 |
| LINE | 0.173629 | |
|
| Category | X | Y |
| [unnamed data series #0] | 25.7451 | 29.4698 |
| [unnamed data series #0] | 25.7451 | 24.3414 |
| [unnamed data series #0] | 33.1059 | 20.2175 |
| [unnamed data series #0] | 33.3752 | 17.6798 |
| [unnamed data series #0] | 30.8618 | 10.4894 |
| [unnamed data series #0] | 35.8887 | 12.6571 |
| [unnamed data series #0] | 47.5583 | 15.7764 |
| [unnamed data series #0] | 47.6481 | 14.9834 |
| [unnamed data series #0] | 41.9031 | 8.95619 |
| [unnamed data series #0] | 35.9785 | 5.14955 |
| [unnamed data series #0] | 49.5332 | 9.53776 |
| [unnamed data series #0] | 49.623 | 7 |
| [unnamed data series #0] | 49.5332 | 5.14955 |
| [unnamed data series #0] | 66.5889 | 6.62991 |
| [unnamed data series #0] | 66.5889 | 5.99547 |
| [unnamed data series #0] | 77.6302 | 13.7145 |
| [unnamed data series #0] | 77.6302 | 11.494 |
| [unnamed data series #0] | 95.4937 | 9.96073 |
| [unnamed data series #0] | 123.77 | 9.96073 |
| [unnamed data series #0] | 108.51 | 3.14048 |
| [unnamed data series #0] | 108.51 | 1.81873 |
| [unnamed data series #0] | 65.9605 | 0.496979 |
| [unnamed data series #0] | 58.5996 | 1.3429 |
| [unnamed data series #0] | 58.5996 | 0.391239 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 3.8663 | 6.08078 | 4.05014 | 2.36212 | 6.02228 | Araceae |
| [unnamed data series #0] | 0.883008 | 8.27855 | 2.55432 | 0.440111 | 7.7688 | Ceratophllaceae |
| [unnamed data series #0] | 2.79666 | 5.98886 | 3.74095 | 0.933148 | 5.09471 | Convolvulaceae |
| [unnamed data series #0] | 1.37604 | 3.79944 | 2.5961 | 1.35097 | 3.79944 | Cyperaceae |
| [unnamed data series #0] | 7.62674 | 8.52089 | 7.85237 | 7.45125 | 8.11142 | Graminea |
| [unnamed data series #0] | 9.18942 | 9.47354 | 9.25627 | 9.00557 | 9.43175 | Haloragaceae |
| [unnamed data series #0] | 2.01114 | 3.29805 | 2.23677 | 0.674095 | 2.90529 | Hydrocharitaceae |
| [unnamed data series #0] | 0.381616 | 1.24234 | 0.891365 | -0.128134 | 1.07521 | Juncaceae |
| [unnamed data series #0] | 2.62953 | 3.93315 | 3.33148 | 1.96936 | 3.63231 | Plantaginaceae |
| [unnamed data series #0] | 4.61003 | 8.72981 | 7.56825 | 1.35097 | 8.20334 | Pontederiaceae |
| [unnamed data series #0] | 0.983287 | 6.81616 | 1.46797 | 0.816156 | 4.29248 | Potamogetonaceae |
| [unnamed data series #0] | 3.98329 | 8.47075 | 7.4429 | 1.28412 | 7.70195 | Typhacae |
| [unnamed data series #0] | 2.4039 | 4.21727 | 2.74652 | 1.68524 | 3.48189 | Umbelliferae | |
|
| title | Baseline |
| CC | 282.795 |
| CG | 300.185 |
| GG | 287.143 |
| CC | 804.478 |
| CG | 943.593 |
| GG | 1169.66 | |
|
| title | [unnamed data series #0] |
| Symptoms | 55.8429 |
| High risk groups | 44.8925 |
| Cause | 37.8685 |
| Treatment | 34.9891 |
| Mode of transmission | 34.9018 |
| Prevention | 23.9514 |
| Diagnosis | 12.9573 |
| Latent infection | 11.9539 | |
|
| title | CFM without slag |
| Air | 0.649697 |
| 7TWater+21 Air | 0.721212 |
| Natural weather | 0.690909 |
| 7Water+21 Natural | 0.700606 |
| Air | 0.620606 |
| 7TWater+21 Air | 0.632727 |
| Natural weather | 0.681212 |
| 7Water+21 Natural | 0.681212 | |
|
| title | [unnamed data series #0] |
| Has insufficient food | 20.2431 |
| Is not in good health status preventing to work | 19.9789 |
| Has nothing | 16.3672 |
| Is unableto solve his own problem by himself | 14.6934 |
| Is unable to fill his medical prescriptions | 7.20578 |
| Has no money | 5.09161 |
| Has no social network | 4.56307 |
| Is not owner of livestock | 2.44891 |
| Wear poor clothes and live in poor conditions | 2.09655 |
| Is very old and without support | 1.21564 |
| Has a poultry | 0.334743 |
| Others | 5.44397 | |
|
| title | [unnamed data series #0] |
| pill | 25.2989 |
| Condom | 14.6803 |
| Withdrawal | 29.3798 |
| Rhythmic | 1.74341 |
| IUD | 8.69265 |
| Vasectomy | 4.68785 |
| Tobactomy | 1.74341 |
| No Method | 11.6699 | |
|
| title | Grade 9 |
| Current Smoker | 4.9 |
| Current Marijuana
Use | 11.7 |
| Current Binge
Drinking | 13.9 |
| Overweight / Obese | 23.3 |
| Physically Inactive | 24.5 |
| Highly Sedentary | 88 |
| Inadequate Fruit &
Vegetable
Consumption | 92.8 |
| Current Smoker | 7.4 |
| Current Marijuana
Use | 17.3 |
| Current Binge
Drinking | 20 |
| Overweight / Obese | 23.4 |
| Physically Inactive | 28.2 |
| Highly Sedentary | 89 |
| Inadequate Fruit &
Vegetable
Consumption | 93.7 || Current Smoker | 9.9 |
| Current Marijuana
Use | 20.4 |
| Current Binge
Drinking | 31.5 |
| Overweight / Obese | 21.6 |
| Physically Inactive | 32.6 |
| Highly Sedentary | 89.6 |
| Inadequate Fruit &
Vegetable
Consumption | 94.1 |
| Current Smoker | 13.1 |
| Current Marijuana
Use | 26.3 |
| Current Binge
Drinking | 37.1 |
| Overweight / Obese | 22.1 |
| Physically Inactive | 40.2 |
| Highly Sedentary | 91.1 |
| Inadequate Fruit &
Vegetable
Consumption | 93.7 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| green matter | 4144.52 | 7065.83 | 4981.81 | 3195.5 | 6073.44 | Holyna |
| green matter | 3691.7 | 5676.48 | 4088.65 | 2699.31 | 4639.4 | Tereza |
| green matter | 1012.24 | 2699.31 | 1508.44 | 119.087 | 2157.76 | Amos |
| silage | -79.3913 | 2401.59 | 416.804 | -774.065 | 1315.21 | Holyna |
| silage | 1350.05 | 98564.3 | 26516.7 | -45530.9 | 52061.3 | Tereza |
| silage | 372.114 | 2500.83 | 813.761 | -674.826 | 1265.27 | Amos | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 206.484 | 320.77 | 237.791 | 171.226 | 263.931 | [unnamed category #0] |
| [unnamed data series #0] | 173.05 | 271.53 | 221.378 | 127.457 | 241.439 | [unnamed category #1] |
| [unnamed data series #0] | 134.144 | 234.448 | 171.53 | 58.156 | 194.63 | [unnamed category #2] |
| [unnamed data series #0] | 160.892 | 240.527 | 184.296 | 134.144 | 208.004 | [unnamed category #3] |
| [unnamed data series #0] | 150.557 | 207.092 | 167.275 | 97.6697 | 192.806 | [unnamed category #4] |
| [unnamed data series #0] | 117.73 | 222.29 | 167.882 | 70.3141 | 181.256 | [unnamed category #5] | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 23.6163 | 56.6483 | 27.6295 | 11.1136 | 37.6626 | East Asian |
| [unnamed data series #0] | 44.2999 | 89.5259 | 53.4068 | 16.6703 | 66.6814 | European |
| [unnamed data series #0] | 20.6836 | 58.0375 | 30.871 | 10.3418 | 39.6692 | South Asian | |
|
| Category | X | Y |
| Lime mortars | 43.5837 | 15.8926 |
| Lime mortars | 32.3441 | 16.1402 |
| Lime mortars | 37.9235 | 13.324 |
| Lime mortars | 40.1067 | 11.9624 |
| Lime mortars | 36.8723 | 11.622 |
| Lime mortars | 36.0637 | 11.622 |
| Lime mortars | 33.2336 | 11.1268 |
| Lime mortars | 32.7484 | 11.1887 |
| Lime mortars | 32.1016 | 11.1268 |
| Lime mortars | 30.4035 | 10.8793 |
| Lime mortars | 30.9695 | 10.5079 |
| Portland cement mortars | 27.4117 | 2.80221 |
| Portland cement mortars | 30.4035 | 2.58559 |
| Cementituos mortars | 30.1609 | 5.1851 |
| Cementituos mortars | 22.4792 | 6.0516 |
| Cementituos mortars | 25.3093 | 3.94724 |
| Cementituos mortars | 19.8916 | 3.08073 |
| Cementituos mortars | 16.8998 | 3.94724 |
| Cementituos mortars | 17.3041 | 3.29736 |
| Cementituos mortars | 19.4873 | 1.90476 |
| Cementituos mortars | 16.9807 | 2.09044 |
| Cementituos mortars | 14.9592 | 2.67843 |
| Cementituos mortars | 13.0994 | 1.96666 |
| Cementituos mortars | 12.4525 | 2.21423 |
| Cementituos mortars | 11.0779 | 2.67843 |
| Cementituos mortars | 11.2396 | 1.81192 |
| Cementituos mortars | 11.4822 | 1.47151 |
| Cementituos mortars | 11.6439 | 1.28583 |
| Cementituos mortars | 11.8056 | 0.976365 |
| Cementituos mortars | 12.0482 | 0.790685 |
| Cementituos mortars | 12.5334 | 0.914471 |
| Cementituos mortars | 13.9888 | 1.03826 |
| Cementituos mortars | 14.474 | 1.22394 |
| Cementituos mortars | 14.6357 | 1.65719 |
| Crushed Brick mortars | 33.557 | 9.17721 |
| Crushed Brick mortars | 30.7269 | 6.02066 |
| Crushed Brick mortars | 29.6757 | 6.26823 |
| Crushed Brick mortars | 26.7648 | 6.17539 |
| Crushed Brick mortars | 25.9562 | 5.5874 |
| Crushed Brick mortars | 24.339 | 4.3186 |
| Crushed Brick mortars | 22.3175 | 4.68995 |
| Crushed Brick mortars | 22.4792 | 3.66872 |
| Crushed Brick mortars | 19.1639 | 4.16386 |
| Crushed Brick mortars | 16.8998 | 3.3283 |
| Crushed Brick mortars | 13.6654 | 4.07102 |
| Crushed Brick mortars | 15.6869 | 2.67843 |
| Crushed Brick mortars | 14.8783 | 3.08073 |
| Crushed Brick mortars | 12.0482 | 3.3283 |
| Crushed Brick mortars | 10.9161 | 2.67843 |
| Crushed Brick mortars | 10.8353 | 2.30707 |
| Crushed Brick mortars | 9.94582 | 1.71908 |
| Crushed Brick mortars | 12.4525 | 2.4618 |
| Kaisarini historical mortars | 20.2959 | 7.35136 |
| Kaisarini historical mortars | 28.2203 | 9.33194 |
| Kaisarini historical mortars | 31.293 | 15.4903 |
| Kaisarini historical mortars | 39.1364 | 18.4302 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 1.96513 | 11.1654 | 4.2202 | 0.602219 | 6.31852 | 1 |
| [unnamed data series #0] | 7.37778 | 10.4286 | 8.42241 | 6.88889 | 9.75 | 2 | |
|
| title | T1421 'C |
| DcAOX1 | 1.7352 |
| DCAOX2a | 0.512314 |
| DcAOX1 | 8.87794 |
| DCAOX2a | 0.734656 | |
|
| Category | X | Y |
| TNT20 | 199.782 | 16.3449 |
| TNT20 | 150.33 | 11.4891 |
| TNT20 | 25.0518 | 7.7096 |
| TNT20 | 100.151 | 9.74285 |
| TNT20 | 50 | 6.84846 |
| TNT3 | 199.47 | 22.9709 |
| TNT3 | 149.914 | 13.2831 |
| TNT3 | 99.7341 | 9.12092 |
| TNT3 | 50 | 7.11159 |
| TNT3 | 24.5342 | 6.96807 |
| TNN475 | 150.226 | 16.0818 |
| TNN475 | 99.9427 | 12.5416 |
| TNN475 | 50.5213 | 8.49898 |
| TNN475 | 199.886 | 21.7988 |
| TNN500 | 199.366 | 25.8892 |
| TNN500 | 149.914 | 19.7417 |
| TNN500 | 99.6299 | 16.034 |
| TNN500 | 49.8965 | 9.69501 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 19.9984 | 31.7569 | 25.1382 | 16.0709 | 29.0416 | C |
| [unnamed data series #0] | 28.0476 | 38.4484 | 32.363 | 25.9625 | 34.0359 | R | |
|
| title | Bout length: 30-40 min |
| Native language | 18.9 |
| Mathematics | 18.2 |
| Science | 16.6 |
| Foreign language | 12.1 |
| Music | 6.6 |
| Crafts | 7.5 |
| Native language | 36.1 |
| Mathematics | 39.6 |
| science | 34.9 |
| Foreign language | 31.5 |
| Music | 19.5 |
| Crafts | 7.9 |
| Native language | 52.2 |
| Mathematics | 56.8 |
| Science | 43.9 |
| Foreign language | 54.7 |
| Music | 62.3 |
| Crafts | 18.2 |
| Native language | 16.6 |
| Mathematics | 14.6 |
| Science | 12.2 |
| Foreign language | 12.2 |
| Music | 12.1 |
| Crafts | 11.3 |
| Native language | 20.7 |
| Mathematics | 17.9 |
| science | 18.8 |
| Foreign language | 17.1 |
| Music | 18 |
| Crafts | 11.7 |
| Native language | 13.9 |
| Mathematics | 15.5 |
| Science | 7.3 |
| Foreign language | 12.6 |
| Music | 9.8 |
| Crafts | 10.9 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.0776786 | 0.340179 | 0.10875 | 0.00803571 | 0.180536 | [unnamed category #0] |
| [unnamed data series #0] | 0.527679 | 0.989464 | 0.85875 | 0.00375 | 0.902679 | [unnamed category #1] | |
|
| title | [unnamed data series #0] |
| BMI>27
Concerns>5 | 0.59 |
| BMI>27
Concerns<5 | 0.64 |
| BMI<27
Concerns>5 | 0.59 |
| BMI<27
Concerns<5 | 0.52 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 13.0268 | 35.9195 | 17.2414 | 0.862069 | 22.1264 | Suburban area |
| [unnamed data series #0] | 16.6667 | 51.0536 | 23.3716 | 5.07663 | 31.3218 | Transitional zone |
| [unnamed data series #0] | 18.5824 | 69.0613 | 28.5441 | 4.88506 | 38.9847 | Urban core | |
|
| Category | X | Y |
| ref | 32.7367 | 45.079 |
| NaOH | 30.957 | 13.5645 |
| Ca(OH)2 | 28.9075 | 27.537 |
| EDTA | 12.0808 | 12.9526 | |
|
| title | current smokers |
| passive smoking can cause heart diseases | 45.9533 |
| children with smoking parents are more likely to develop asthma or
otherrespiratory diseases than those with nonsmoking parents | 66.5183 |
| women with smoking husbands are more likely to getlung cancer
than those with nonsmoking husbands | 53.9036 |
| Passive smoking can cause lung cancer | 74.3626 |
| passive smoking is harmful to nonsmokers health | 94.7156 |
| smoking is harmful to smokers’ health | 98.4258 || passive smoking can cause heart diseases | 54.2217 |
| children with smoking parents are more likely to develop asthma or
otherrespiratory diseases than those with nonsmoking parents | 74.9987 |
| women with smoking husbands are more likely to getlung cancer
than those with nonsmoking husbands | 63.9741 |
| Passive smoking can cause lung cancer | 74.5747 |
| passive smoking is harmful to nonsmokers health | 96.6237 |
| smoking is harmful to smokers’ health | 98.4258 | |
|
| Category | X | Y |
| Basic WASH | Developed | 0.0231749 |
| Basic WASH | Eastern Asia | 0.0328814 |
| Basic WASH | LAC | 0.0571479 |
| Basic WASH | CCA | 0.0474413 |
| Basic WASH | Oceania | 0.0377347 |
| Basic WASH | Westen Asia | 0.100827 |
| Basic WASH | World | 0.105681 |
| Basic WASH | Southeastern Asia | 0.1348 |
| Basic WASH | Northem Africa | 0.100827 |
| Basic WASH | Southern Asia | 0.212453 |
| Basic WASH | SSA | 0.654102 |
| SDG targets 6.1 and 6.2 | Developed | 0.125094 |
| SDG targets 6.1 and 6.2 | Eastern Asia | 0.14936 |
| SDG targets 6.1 and 6.2 | LAC | 0.23672 |
| SDG targets 6.1 and 6.2 | CCA | 0.270693 |
| SDG targets 6.1 and 6.2 | Oceania | 0.309519 |
| SDG targets 6.1 and 6.2 | Westen Asia | 0.367758 |
| SDG targets 6.1 and 6.2 | World | 0.387172 |
| SDG targets 6.1 and 6.2 | Southeastern Asia | 0.459971 |
| SDG targets 6.1 and 6.2 | Northem Africa | 0.586156 |
| SDG targets 6.1 and 6.2 | Southern Asia | 0.853087 |
| SDG targets 6.1 and 6.2 | SSA | 2.01302 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Developed | 0.0668545 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Developed | 0.19304 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Eastern Asia | 0.115387 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Eastern Asia | 0.217306 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | LAC | 0.396878 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | LAC | 0.139654 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | CCA | 0.173627 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | CCA | 0.396878 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Oceania | 0.523064 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Oceania | 0.23672 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Westen Asia | 0.260986 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Westen Asia | 0.712342 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | World | 0.566743 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | World | 0.256133 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Southeastern Asia | 0.304666 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Southeastern Asia | 0.595863 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Northem Africa | 0.353198 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Northem Africa | 0.736608 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Southern Asia | 0.542477 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | Southern Asia | 1.10546 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | SSA | 1.31415 |
| Upper and lower estimates of the costof mecting SDG targets 6.1 and 6.2 | SSA | 2.72646 |
| Upper and lower estimates of the
cost of achieving basic WASH | SSA | 1.00354 |
| Upper and lower estimates of the
cost of achieving basic WASH | SSA | 0.299812 |
| Upper and lower estimates of the
cost of achieving basic WASH | Southern Asia | 0.139654 |
| Upper and lower estimates of the
cost of achieving basic WASH | Southern Asia | 0.309519 |
| Upper and lower estimates of the
cost of achieving basic WASH | Northem Africa | 0.139654 |
| Upper and lower estimates of the
cost of achieving basic WASH | Northem Africa | 0.0571479 |
| Upper and lower estimates of the
cost of achieving basic WASH | Southeastern Asia | 0.2076 |
| Upper and lower estimates of the
cost of achieving basic WASH | Southeastern Asia | 0.0571479 |
| Upper and lower estimates of the
cost of achieving basic WASH | World | 0.173627 |
| Upper and lower estimates of the
cost of achieving basic WASH | World | 0.0620012 |
| Upper and lower estimates of the
cost of achieving basic WASH | Westen Asia | 0.16392 |
| Upper and lower estimates of the
cost of achieving basic WASH | Westen Asia | 0.042588 |
| Upper and lower estimates of the
cost of achieving basic WASH | Oceania | 0.0911209 |
| Upper and lower estimates of the
cost of achieving basic WASH | CCA | 0.076561 |
| Upper and lower estimates of the
cost of achieving basic WASH | LAC | 0.105681 |
| Upper and lower estimates of the
cost of achieving basic WASH | Eastern Asia | 0.0522946 |
| Upper and lower estimates of the
cost of achieving basic WASH | Developed | 0.0620012 | |
|
| title | Non-synonymous |
| 1 | 0.541905 |
| 2 | 0.103384 |
| 3 | 0.052785 |
| 4 | 0.0340448 |
| 5 | 0.0265487 |
| 6 | 0.0209266 |
| 7 | 0.0190526 |
| 8 | 0.0203019 |
| 9 | 0.0178032 |
| 10 | 0.0165539 |
| 11 | 0.0140552 |
| 12 | 0.0165539 |
| 13 | 0.0128058 |
| 14 | 0.0140552 |
| 15 | 0.0140552 |
| 16 | 0.0128058 |
| 17 | 0.0128058 |
| 18 | 0.00968246 |
| 19 | 0.0115565 |
| 20 | 0.0140552 |
| 21 | 0.0140552 |
| 22 | 0.0115565 |
| 23 | 0.0153045 |
| 24 | 0.0153045 |
| 1 | 0.318896 |
| 2 | 0.122124 |
| 3 | 0.0771473 |
| 4 | 0.054659 |
| 5 | 0.0434149 |
| 6 | 0.0377928 |
| 7 | 0.0302967 |
| 8 | 0.0265487 |
| 9 | 0.0246746 |
| 10 | 0.0228006 |
| 11 | 0.0190526 |
| 12 | 0.0190526 |
| 13 | 0.0190526 |
| 14 | 0.0171786 |
| 15 | 0.0171786 |
| 16 | 0.0171786 |
| 17 | 0.0171786 |
| 18 | 0.0171786 |
| 19 | 0.0171786 |
| 20 | 0.0171786 |
| 21 | 0.0190526 |
| 22 | 0.0209266 |
| 23 | 0.0246746 |
| 24 | 0.0228006 | |
|
| title | [unnamed data series #0] |
| Water quality | 79.8875 |
| Channel blockage | 40.3726 |
| Disappearance of small rivers | 39.3883 |
| Riparian zone destruction | 10.4201 |
| Channel straightening | 57.4583 | |
|
| title | [unnamed data series #0] |
| 16-19 | 46.071 |
| 20-24 | 30.6786 |
| 25-29 | 7.3819 |
| 30-34 | 6.54988 |
| 35-39 | 5.16317 |
| 40-44 | 4.0538 |
| 45+ | 0.86438 | |
|
| title | Control |
| 10 | 6.3 |
| 20 | 7.8 |
| 30 | 8.4 |
| 10 | 5.5 |
| 20 | 6.3 |
| 30 | 8.4 |
| 10 | 5.7 |
| 20 | 6.8 |
| 30 | 6.9 |
| 10 | 6.1 |
| 20 | 5.7 |
| 30 | 6.7 | |
|
| title | Plate-Fe |
| 14-16K | 70.7232 |
| 140-160k | 89.8848 |
| 14-16M | 110.52 |
| 300-400M | 101.677 |
| 0.85-1G | 116.048 |
| 8.5-10.5G | 97.2547 |
| 16-18G | 102.229 |
| 14-16K | 73.4869 |
| 140-160k | 94.6753 |
| 14-16M | 111.994 |
| 300-400M | 109.784 |
| 0.85-1G | 125.629 |
| 8.5-10.5G | 113.468 |
| 16-18G | 102.782 |
| 14-16K | 48.0608 |
| 140-160k | 83.4362 |
| 14-16M | 113.837 |
| 300-400M | 111.073 |
| 0.85-1G | 123.049 |
| 8.5-10.5G | 109.415 |
| 16-18G | 103.151 | |
|
| Category | X | Y |
| Mozabite | -0.10681 | 0.0134703 |
| Mozabite | -0.0675153 | -0.0417564 |
| Mozabite | 0.0401329 | -0.0316926 |
| Mozabite | 0.0515849 | -0.0864235 |
| Mozabite | 0.0470041 | -0.0796813 |
| Mozabite | -0.00252556 | -0.108237 |
| Mozabite | 0.0335481 | -0.100701 |
| Mozabite | 0.0361247 | -0.107047 |
| Mozabite | 0.0215235 | -0.141601 |
| Mozabite | 0.0435685 | -0.148739 |
| Mozabite | 0.0475767 | -0.152705 |
| Mozabite | 0.0401329 | -0.152309 |
| Mozabite | 0.0355521 | -0.153102 |
| Mozabite | 0.045 | -0.158258 |
| Mozabite | 0.0418507 | -0.161431 |
| Mozabite | 0.0318303 | -0.176898 |
| Mozabite | 0.039274 | -0.171346 |
| Mozabite | 0.0452863 | -0.186813 |
| Mozabite | 0.0389877 | -0.178088 |
| Mozabite | 0.0424233 | -0.171346 |
| Mozabite | 0.034407 | -0.176501 |
| Mozabite | 0.0447137 | -0.177295 |
| French | 0.0976789 | 0.089221 |
| French | 0.100828 | 0.100326 |
| French | 0.103119 | 0.101516 |
| French | 0.101401 | 0.110637 |
| French | 0.0999693 | 0.105482 |
| French | 0.100542 | 0.120949 |
| French | 0.0985378 | 0.11381 |
| French | 0.103691 | 0.123329 |
| Yoruba | -0.174018 | 0.0329037 |
| Yoruba | -0.176881 | 0.0479745 |
| Yoruba | -0.173446 | 0.0479745 |
| Yoruba | -0.17545 | 0.0444051 |
| Yoruba | -0.17774 | 0.0436119 |
| Yoruba | -0.176595 | 0.0400425 |
| Yoruba | -0.174305 | 0.0404391 |
| Yoruba | -0.172873 | 0.0440085 | |
|
| title | [unnamed data series #0] |
| Structural | 14 |
| Data and surveillance | 16 |
| Technological | 16 |
| Behavioral and awareness | 18 | |
|
| Category | X | Y |
| Screening to 25% | a | 8.33035 |
| Screening to 25% | d | 7.27144 |
| Screening to 25% | r | 0.105145 |
| Screening to 25% | k | 0.694258 |
| Tracing to 40% | k | 5.26547 |
| Tracing to 40% | r | 0.977629 |
| Tracing to 40% | d | 6.84638 |
| Tracing to 40% | a | 9.88143 | |
|
| Category | X | Y |
| [unnamed data series #0] | 0.591417 | 73.0807 |
| [unnamed data series #0] | 0.302834 | 35.0175 |
| [unnamed data series #0] | 0.65166 | 39.1719 |
| [unnamed data series #0] | 1.04032 | 26.2596 |
| [unnamed data series #0] | 0.999514 | 14.3579 |
| [unnamed data series #0] | 0.980081 | 10.3158 |
| [unnamed data series #0] | 1.00923 | 6.27368 |
| [unnamed data series #0] | 1.00923 | 2.34386 |
| [unnamed data series #0] | 1.02089 | 0.322807 |
| [unnamed data series #0] | 1.01117 | 0.322807 |
| [unnamed data series #0] | 1.00049 | 0.210526 |
| [unnamed data series #0] | 0.980081 | 3.35439 |
| [unnamed data series #0] | 0.970364 | 0.210526 |
| [unnamed data series #0] | 0.94996 | 0.210526 |
| [unnamed data series #0] | 0.911093 | 1.33333 |
| [unnamed data series #0] | 0.88 | 8.40702 |
| [unnamed data series #0] | 0.801296 | 14.1333 |
| [unnamed data series #0] | 0.81004 | 9.41754 |
| [unnamed data series #0] | 0.861538 | 2.34386 |
| [unnamed data series #0] | 0.851822 | 0.322807 |
| [unnamed data series #0] | 0.81004 | 0.322807 |
| [unnamed data series #0] | 0.779919 | 0.435088 |
| [unnamed data series #0] | 0.751741 | 0.322807 |
| [unnamed data series #0] | 0.718704 | 10.3158 |
| [unnamed data series #0] | 0.602105 | 0.322807 |
| [unnamed data series #0] | 0.592389 | 1.22105 |
| [unnamed data series #0] | 0.5817 | 1.44561 |
| [unnamed data series #0] | 0.580729 | 0.322807 |
| [unnamed data series #0] | 0.572955 | 0.210526 |
| [unnamed data series #0] | 0.502024 | 0.210526 |
| [unnamed data series #0] | 0.493279 | 0.210526 |
| [unnamed data series #0] | 0.390283 | 1.44561 |
| [unnamed data series #0] | 0.363077 | 1.33333 |
| [unnamed data series #0] | 0.351417 | 2.1193 |
| [unnamed data series #0] | 0.331984 | 2.34386 |
| [unnamed data series #0] | 0.313522 | 0.210526 |
| [unnamed data series #0] | 0.324211 | 0.322807 |
| [unnamed data series #0] | 0.331984 | 0.435088 |
| [unnamed data series #0] | 0.351417 | 0.435088 |
| [unnamed data series #0] | 0.360162 | -0.0140351 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.00909091 | 21.3909 | 4.20909 | -12.2091 | 8.98182 | Very good |
| [unnamed data series #0] | 0.390909 | 21.7727 | 4.78182 | -12.2091 | 8.6 | Pretty good |
| [unnamed data series #0] | 0.00909091 | 22.3455 | 4.4 | -12.5909 | 9.17273 | Somew hat good |
| [unnamed data series #0] | 0.390909 | 23.6818 | 4.78182 | -10.3 | 9.93636 | Petty bad |
| [unnamed data series #0] | 0.2 | 23.1091 | 4.78182 | -13.5455 | 9.93636 | Bad | |
|
| Category | X | Y |
| S5 | -0.40865 | 1.10518 |
| S4 | -0.331043 | 0.493528 |
| S11 | -0.106537 | 0.101537 |
| S12 | 0.172364 | -0.0440939 |
| S10 | -0.00225199 | -0.126618 |
| S6 | 0.249971 | 0.19377 |
| S2 | 0.0389768 | 0.186489 |
| S3 | 1.10122 | -0.0707929 |
| S7 | 1.00907 | -0.357201 |
| S8 | -1.08633 | -0.730987 |
| S1 | -0.315106 | -0.388754 |
| S9 | -0.276302 | -0.376618 | |
|
| title | early stage |
| Mock | 0.0572312 |
| V | 0.471771 |
| NV | 0.150039 |
| Mock | 0.00464037 |
| NV | 0.0479505 |
| Mock | 0.0324826 |
| NV | 0.0232019 |
| Mock | 0.951876 |
| V | 0.534171 |
| NV | 0.84641 |
| Mock | 0.467131 |
| NV | 0.828245 |
| Mock | 0.417633 |
| NV | 0.859323 |
| Mock | 0.00316456 |
| V | 0.00316456 |
| NV | 0.0126582 |
| Mock | 0.5405 |
| NV | 0.129747 || Mock | 0.562156 |
| NV | 0.129747 | |
|
| title | 24h |
| Ti6AI4V | 0.0170737 |
| TNT3/25 | 0.0200059 |
| TNT10/25 | 0.0129688 |
| TNT12/25 | 0.0231726 |
| TNT15/25 | 0.0198299 |
| TNT18/25 | 0.0208855 |
| TNT20/25 | 0.0239935 |
| Ti6AI4V | 0.0223516 |
| TNT3/25 | 0.04229 |
| TNT10/25 | 0.0402375 |
| TNT12/25 | 0.0360739 |
| TNT15/25 | 0.0311479 |
| TNT18/25 | 0.0283331 |
| TNT20/25 | 0.0351356 | |
|
| Category | X | Y |
| [unnamed data series #0] | 0.02 | 0.906568 |
| [unnamed data series #0] | 0.0250216 | 0.863925 |
| [unnamed data series #0] | 0.0299647 | 0.84565 |
| [unnamed data series #0] | 0.0349863 | 0.841081 |
| [unnamed data series #0] | 0.0450294 | 0.822806 |
| [unnamed data series #0] | 0.0499725 | 0.813668 |
| [unnamed data series #0] | 0.0549157 | 0.8091 |
| [unnamed data series #1] | 0.0200785 | 0.855549 |
| [unnamed data series #1] | 0.0250216 | 0.832705 |
| [unnamed data series #1] | 0.0300432 | 0.815953 |
| [unnamed data series #1] | 0.0349863 | 0.804531 |
| [unnamed data series #1] | 0.044951 | 0.803008 |
| [unnamed data series #1] | 0.0549157 | 0.79387 |
| [unnamed data series #2] | 0.0200785 | 0.787017 |
| [unnamed data series #2] | 0.0250216 | 0.766457 |
| [unnamed data series #2] | 0.0299647 | 0.755797 |
| [unnamed data series #2] | 0.0349863 | 0.752751 |
| [unnamed data series #2] | 0.0448725 | 0.74209 |
| [unnamed data series #2] | 0.0549157 | 0.73143 |
| [unnamed data series #2] | 0.0499725 | 0.734476 |
| [unnamed data series #3] | 0.02 | 0.748182 |
| [unnamed data series #3] | 0.0251 | 0.746659 |
| [unnamed data series #3] | 0.0299647 | 0.739044 |
| [unnamed data series #3] | 0.0350647 | 0.737521 |
| [unnamed data series #3] | 0.044951 | 0.738283 |
| [unnamed data series #3] | 0.0549941 | 0.726099 |
| [unnamed data series #4] | 0.02 | 0.724576 |
| [unnamed data series #4] | 0.0250216 | 0.70554 |
| [unnamed data series #4] | 0.0300432 | 0.700209 |
| [unnamed data series #4] | 0.0349863 | 0.687264 |
| [unnamed data series #4] | 0.044951 | 0.689549 |
| [unnamed data series #4] | 0.0549941 | 0.698686 |
| [unnamed data series #5] | 0.0200785 | 0.704017 |
| [unnamed data series #5] | 0.0251 | 0.691833 |
| [unnamed data series #5] | 0.0300432 | 0.686503 |
| [unnamed data series #5] | 0.0349078 | 0.675081 |
| [unnamed data series #5] | 0.0450294 | 0.675081 |
| [unnamed data series #5] | 0.0549157 | 0.678888 |
| [unnamed data series #6] | 0.0549157 | 0.663659 |
| [unnamed data series #6] | 0.0499725 | 0.662897 |
| [unnamed data series #6] | 0.044794 | 0.661374 |
| [unnamed data series #6] | 0.0350647 | 0.663659 |
| [unnamed data series #6] | 0.0300432 | 0.665182 |
| [unnamed data series #6] | 0.0250216 | 0.670512 |
| [unnamed data series #6] | 0.0200785 | 0.680411 |
| [unnamed data series #7] | 0.0549157 | 0.652998 |
| [unnamed data series #7] | 0.050051 | 0.65376 |
| [unnamed data series #7] | 0.044951 | 0.654521 |
| [unnamed data series #7] | 0.0350647 | 0.656044 |
| [unnamed data series #7] | 0.0300432 | 0.654521 |
| [unnamed data series #7] | 0.0250216 | 0.668228 |
| [unnamed data series #7] | 0.02 | 0.66442 | |
|
| title | [unnamed data series #0] |
| 0 | 100.013 |
| 50 | 58.2541 |
| 100 | 50.402 |
| 200 | 45.4052 | |
|
| Category | first quartile | max | median | min | third quartile | x |
| [unnamed data series #0] | 0.336516 | 1.00477 | 0.501193 | 0.00477327 | 0.668258 | L1 |
| [unnamed data series #0] | 0.355609 | 1.00477 | 0.52506 | 0 | 0.692124 | L2 | |
|
| title | [unnamed data series #0] |
| 0 | 11.0243 |
| 1 | 5.01231 |
| 2 | 3.03866 |
| 3 | 5.01231 |
| 4 | 7.01632 |
| 5 | 13.0284 |
| 6 | 1.03465 |
| 7 | 4.07103 |
| 8 | 2.03665 | |
|
| title | [unnamed data series #0] |
| Carbon fixation in photosynthetic organisms | 74.9049 |
| Glyoxylate and dicarboxylate metabolism | 57.7947 |
| Starch and sucrose metabolism | 41.8251 |
| Porphyrin and chlorophyll metabolism | 32.6996 |
| Glycolysis/Gluconeogenesis | 27.7567 |
| Fructose and mannose metabolism | 27.7567 |
| Purine metabolism | 22.8137 |
| Methane metabolism | 21.673 |
| Glycerophospholipid metabolism | 21.673 |
| Pentose phosphate pathway | 20.7224 |
| Galactose metabolism | 14.6388 |
| Pentose and glucuronate interconversions | 12.7376 |
| Glutathione metabolism | 11.7871 |
| Arginine and proline metabolism | 11.7871 |
| Glycine, serine and threonine metabolism | 11.7871 |
| Pyruvate metabolism | 10.6464 |
| Drug metabolism - Other enzymes | 10.6464 |
| Thiamine metabolism | 9.69582 |
| Nitrogen metabolism | 8.74525 |
| Cysteine and methionine metabolism | 7.79468 |
| Carbon fixation in photosynthetic organisms | 13.6882 |
| Glyoxylate and dicarboxylate metabolism | 9.69582 |
| Starch and sucrose metabolism | 11.7871 |
| Porphyrin and chlorophyll metabolism | 6.65399 |
| Glycolysis/Gluconeogenesis | 10.8365 |
| Fructose and mannose metabolism | 9.69582 |
| Purine metabolism | 9.69582 |
| Methane metabolism | 6.65399 |
| Glycerophospholipid metabolism | 2.6616 |
| Pentose phosphate pathway | 7.79468 |
| Galactose metabolism | 5.70342 |
| Pentose and glucuronate interconversions | 4.75285 |
| Glutathione metabolism | 3.80228 |
| Arginine and proline metabolism | 6.65399 |
| Glycine, serine and threonine metabolism | 6.65399 |
| Pyruvate metabolism | 6.65399 |
| Drug metabolism - Other enzymes | 1.9962 |
| Thiamine metabolism | 0.760456 |
| Nitrogen metabolism | 6.74905 |
| Cysteine and methionine metabolism | 3.89734 | |
|
| title | Physical |
| 45-54 | 8.84701 |
| 55-64 | 8.38137 |
| 65-74 | 7.76053 |
| 75-84 | 6.82927 |
| 85% | 5.58758 |
| 45-54 | 9.15743 |
| 55-64 | 9.31264 |
| 65-74 | 8.38137 |
| 75-84 | 7.76053 |
| 85% | 6.98448 |
| 45-54 | 5.58758 |
| 55-64 | 5.43237 |
| 65-74 | 4.96674 |
| 75-84 | 4.50111 |
| 85% | 3.88027 |
| 45-54 | 6.98448 |
| 55-64 | 6.98448 |
| 65-74 | 7.13969 |
| 75-84 | 7.13969 |
| 85% | 7.13969 | |
Subsets and Splits