Medical Students Dataset

Practise Preprocessing Issues.

@kaggle.slmsshk_medical_students_dataset

Table List

1 table(6.24 MB)

Medical Students Dataset

@kaggle.slmsshk_medical_students_dataset.medical_students_dataset

6.24 MB
200000 rows
13 columns

student_id Student ID	age Age	gender Gender	height Height	weight Weight	blood_type Blood Type	bmi BMI	temperature Temperature	heart_rate Heart Rate	blood_pressure Blood Pressure	cholesterol Cholesterol	diabetes Diabetes	smoking Smoking
1	18	Female	161.7779242398216	72.35494708361182	O	27.64583507227044		95	109	203	No	nan
2		Male	152.06915679450026	47.63094149562153	B		98.71497675065052	93	104	163	No	No
3	32	Female	182.5376635180374	55.74108278560672	A	16.729017143841244	98.26029301637767	76	130	216	Yes	No
	30	Male	182.1128671625788	63.332207060725246	B	19.096041912040207	98.8396047202868	99	112	141	No	Yes
5	23	Female		46.23417252611334	O		98.48000770873584	95		231	No	No
6	32	nan	151.49129421692072	68.64780493537322	B	29.912402992598857	99.66837272628982	70	128	183	nan	Yes
7	21	nan	172.94970411088931	48.10274386586655	AB	16.081635091855556	97.7154687175918	66	134	247	No	No
8	28	Male	186.48940209708036	52.389751928808224	AB	15.063920981068806	98.22778787477758	85	123	128	No	No
9	21	Male	155.03967838308492	42.95870257936162	B		98.80805323202132		111	243	No	No
10	32	nan	170.83631463068508	50.78324972592148	B	17.400434810289468	98.57016847804906	61	94	166	nan	No


CREATE TABLE medical_students_dataset (
  "student_id" DOUBLE,
  "age" DOUBLE,
  "gender" VARCHAR,
  "height" DOUBLE,
  "weight" DOUBLE,
  "blood_type" VARCHAR,
  "bmi" DOUBLE,
  "temperature" DOUBLE,
  "heart_rate" DOUBLE,
  "blood_pressure" DOUBLE,
  "cholesterol" DOUBLE,
  "diabetes" VARCHAR,
  "smoking" VARCHAR
);