April 20, 2025

What is the primary diagnosis ? 2- What potential risk factors were there? 3- Make a statistical description of the data ( primerly diagnosis, risk factors

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Attached two files , one for the data you will work on in excel file and file discription for the data in PDF

As a data scientist please study the data and answer the following questions

1- what is the primerly diagnosis ?

2- What potential risk factors were there?

3- Make a statistical description of the data ( primerly diagnosis, risk factors, gender, age ,…etc)

4- is there a statistal relastionship between the primerly diagnosis and its risk factors?

please show your work in excel file and pdf file Includeing tables and graphs with explanation

diabet_typ2_1000case

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AGE	AMONTH	AWEEKEND	DIED	DISCWT	DQTR	DRG	DRG24	DRGVER	DX1	DX2	DX3	DX4	DX5	DX6	DX7	DX8	DX9	DX10	DX11	DX12	DX13	DX14	DX15	DXCCS1	DXCCS2	DXCCS3	DXCCS4	DXCCS5	DXCCS6	DXCCS7	DXCCS8	DXCCS9	DXCCS10	DXCCS11	DXCCS12	DXCCS13	DXCCS14	DXCCS15	ECODE1	ECODE2	ECODE3	ECODE4	ELECTIVE	E_CCS1	E_CCS2	E_CCS3	E_CCS4	FEMALE	HCUP_ED	HOSPBRTH	LOS	MDC	MDC24	NDX	NECODE	NEOMAT	NPR	PAY1	PL_NCHS2006	PR1	PR2	PR3	PR4	PR5	PR6	PR7	PR8	PR9	PR10	PR11	PR12	PR13	PR14	PR15	PRCCS1	PRCCS2	PRCCS3	PRCCS4	PRCCS5	PRCCS6	PRCCS7	PRCCS8	PRCCS9	PRCCS10	PRCCS11	PRCCS12	PRCCS13	PRCCS14	PRCCS15	PRDAY1	PRDAY2	PRDAY3	PRDAY4	PRDAY5	PRDAY6	PRDAY7	PRDAY8	PRDAY9	PRDAY10	PRDAY11	PRDAY12	PRDAY13	PRDAY14	PRDAY15	RACE	TOTCHG	YEAR	ZIPINC_Q	APRDRG	CM_AIDS	CM_ARTH	CM_CHF	CM_COAG	CM_DM	CM_DMCX	CM_DRUG	CM_HTN_C	CM_LIVER	CM_LYMPH	CM_LYTES	CM_METS	CM_NEURO	CM_OBESE	CM_PARA	CM_PSYCH	CM_TUMOR	CM_ULCER	CM_VALVE	dx1_code	dx2_code	dx3_code	dx4_code	dx5_code	dx6_code	dx7_code	dx8_code	dx9_code	dx10_code	dx11_code	dx12_code	dx13_code	dx14_code	dx15_code	Diabetes_type2_no_complications	Diabetes_type2_with_complications	Family_history	GESTATIONAL_DIABETES	ANTEPARTUM_DIABETES	POSTPARTUM_DIABETES	dyslipidemia	Hyperinsulinemia	Hyperlipidemia_NOS	Non_alcoholic_steatohepatitis	Metabolic_Syndrome	Obesity	Smoking	Alcohol_related_disorders	Hypertension	Polycystic_ovary_syndrome	Pure_hypercholesterolemia	Pure_hyperglyceridemia	Asthma	Vitamin_d_deficiency	PERSONAL_HISTORY_OF_ALCOHOLISM	Substance_related_disorders	Age_Group	PRE_1	PRE_2	filter_$
56	2	0	0	4.4814726	1	296	296	24	2768	2639	4019	43889	78791	7993	2449	6826	28529	78039	25000	2761	30391	5711	2910	55	52	98	113	155	259	48	197	59	83	49	55	660	663	660	E9370	E9394	E8497	E9361	0	2617	2617	2621	2617	1	4	0	15	10	10	21	4	0	1	3	1	3893															54	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	11	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	1	177092	2007	4	425	0	0	0	0	1	0	1	1	0	0	0	0	1	0	1	0	0	0	0	9117	9850	7826	7441	3359	3124	9455	4989	8746	3183	8658	8237	7661	5229	7454	1	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	4.00	0.03917	0.03922	0
72	12	0	0	4.4814726	1	127	127	24	4280	2800	58381	4240	4552	4660	2113	25042	2768	5180	4168	3970	4254	56210	42731	108	59	156	96	120	125	47	50	55	130	103	96	97	146	106					0	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	1	4	0	7	5	5	19	0	0	1	1	1	4542															95	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	6	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	ERROR:#NULL!	3	62149	2007	4	194	0	0	0	0	0	1	0	1	0	0	1	0	1	0	0	0	0	0	0	7225	9698	6562	7588	7204	7028	9685	9262	8859	6239	6684	6628	6335	5294	6010	0	1	0	0	0	0	0	0

What is the primary diagnosis ? 2- What potential risk factors were there? 3- Make a statistical description of the data ( primerly diagnosis, risk factors

diabet_typ2_1000case

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