Datasets:

tarekmasryo
/

digital-lifestyle-benchmark

id int64	age int64	gender string	region string	income_level string	education_level string	daily_role string	device_hours_per_day float64	phone_unlocks int64	notifications_per_day int64	social_media_mins int64	study_mins int64	physical_activity_days float64	sleep_hours float64	sleep_quality float64	anxiety_score float64	depression_score float64	stress_level float64	happiness_score float64	focus_score float64	high_risk_flag int64	device_type string	productivity_score float64	digital_dependence_score float64
1	40	Female	Asia	High	High School	Part-time/Shift	3.54	45	561	98	34	7	9.1238	3.353627	9.926651	5	6.593289	8	23	0	Android	70	25.7
2	27	Male	Africa	Lower-Mid	Master	Full-time Employee	5.65	100	393	174	102	2	8.837517	2.908147	4	4	4.126926	8.1	35	0	Laptop	64	30.1
3	31	Male	North America	Lower-Mid	Bachelor	Full-time Employee	8.87	181	231	595	140	1	6.486743	2.889213	4	8	1.429139	7.6	15	0	Android	65.299301	40.6
4	41	Female	Middle East	Low	Master	Caregiver/Home	4.05	94	268	18	121	4	7.600504	3.097488	7.093357	9	4.995512	7.8	28	1	Tablet	80	36.684152
5	26	Female	Europe	Lower-Mid	Bachelor	Full-time Employee	13.07	199	91	147	60	1	5.197962	2.786098	7.028125	15	9.448757	4.2	70	1	Android	65.299301	48.4
6	37	Female	Middle East	Upper-Mid	Bachelor	Caregiver/Home	4.59	73	198	9	85	0	10.945226	2.797044	7.95475	4	1.317061	10	64	0	Android	63	21.2
7	18	Female	Europe	Lower-Mid	High School	Unemployed_Looking	4.95	119	553	61	188	4	8.422325	3.065118	7.510412	1	9.923969	7.7	15	0	iPhone	81	32.8
8	33	Female	Europe	Upper-Mid	Master	Full-time Employee	6.55	82	184	48	155	3	6.295213	2.952306	4.646849	8	1	8.6	70	0	Tablet	73	25.7
9	43	Female	South America	Lower-Mid	PhD	Full-time Employee	8.05	155	309	16	116	4	9.698407	3.065844	7.615005	18	2.866001	8.3	53	0	Android	60	39.9
10	41	Female	Asia	Low	High School	Full-time Employee	2.33	38	110	249	155	5	9.72272	3.187426	5.586164	0	1.976407	9.2	73	0	iPhone	70	10.8
11	47	Female	South America	Lower-Mid	High School	Caregiver/Home	7.89	129	212	31	37	4	6.864379	3.074677	6.797323	12	8.889004	4.1	59	0	iPhone	60	35.2
12	13	Female	Asia	Low	High School	Student	4.59	139	474	39	78	7	7.316849	3.382699	5	2	8.764771	2.1	27	0	Tablet	60	31.8
13	26	Male	Africa	Lower-Mid	Master	Full-time Employee	8.55	110	424	82	0	4	5.917848	3.106252	4	9	6.831298	8.8	27	0	Laptop	67	38.4
14	21	Female	Europe	Low	Bachelor	Student	3.99	72	211	178	102	4	6.049106	3.078083	6.234905	0	2.846489	9.9	51	0	Laptop	46	19.1
15	24	Female	Africa	Lower-Mid	Master	Full-time Employee	8.91	92	185	161	201	1	5.779038	2.760968	7.206864	9	1.223007	8.7	55	0	Android	48	32
16	24	Female	Africa	Low	Bachelor	Full-time Employee	9.74	180	1,195	240	88	7	5.203142	3.282592	8.207675	17	6.606128	6.418568	0	0	Android	59	66.9
17	24	Female	Africa	Upper-Mid	Bachelor	Student	5	114	155	19	102	3	9.617037	2.975624	5.589573	6	1	9.6	56	0	Tablet	55	23.7
18	25	Male	North America	Lower-Mid	Master	Full-time Employee	5.29	119	226	125	96	2	6.267765	2.926987	5	3	2.179854	8.8	43	1	Laptop	68	26.3
19	19	Male	Africa	Lower-Mid	Bachelor	Full-time Employee	6.89	184	263	41	119	5	8.227617	3.163676	4	10	6.790949	5.7	42	1	iPhone	56	36.3
20	15	Male	Europe	Low	High School	Student	12.66	203	703	176	128	6	5.198886	3.220171	4	18	9.707076	2.7	0	1	Tablet	51	62.7
21	21	Female	Africa	Lower-Mid	Bachelor	Part-time/Shift	6.89	204	499	92	111	5	6.050583	3.137827	7.485924	3	8.798729	9.4	30	1	Laptop	80	43.5
22	27	Male	Europe	Upper-Mid	High School	Student	7.3	141	525	72	64	2	8.25285	2.928179	4	10	1	8.3	35	0	iPhone	63	40.9
23	25	Female	Asia	Upper-Mid	Bachelor	Full-time Employee	4.63	112	51	173	168	2	6.847907	2.849226	4.634958	3	1.072755	8.5	62	0	Android	66	19.7
24	22	Female	Africa	Low	Bachelor	Part-time/Shift	6.24	128	357	449	80	4	7.984507	3.136701	7.92233	6	3.012997	7.6	19	0	Tablet	51	32.9
25	32	Female	North America	Upper-Mid	Bachelor	Full-time Employee	3.29	93	121	417	293	5	8.030438	3.029451	7.285603	0	1	9.2	39	0	Tablet	60	17.6
26	23	Female	Middle East	High	Master	Part-time/Shift	5.1	98	1,203	242	79	3	6.072299	3.044811	6.892297	2	10	0.4	0	0	Android	66	48.7
27	46	Female	Europe	Upper-Mid	Bachelor	Unemployed_Looking	6.28	145	558	50	16	4	7.018892	3.049666	7.296149	6	1	8.3	18	1	Laptop	53	41.6
28	44	Female	North America	Lower-Mid	Bachelor	Caregiver/Home	6.5	107	304	20	301	0	6.371517	2.782515	5.816794	8	7.295017	8.9	41.5986	0	iPhone	69	31.9
29	50	Male	Asia	Low	Bachelor	Caregiver/Home	7.88	183	594	12	147	1	7.74276	2.830463	4	12	4.309486	3	13	1	iPhone	59	49.8
30	35	Female	Africa	Low	Master	Caregiver/Home	3.01	47	356	119	0	5	9.426052	3.149111	7.038509	0	3.943071	8.2	38	0	Laptop	62	19.1
31	24	Male	South America	Lower-Mid	Bachelor	Part-time/Shift	6.95	133	103	94	133	5	8.177302	3.159522	4	13	1	8	67	1	Tablet	59	28.5
32	18	Male	Europe	Low	High School	Full-time Employee	3.39	93	309	112	137	5	8.340043	3.172262	4	4	6.864402	6.5	62	0	Laptop	65.299301	20.6
33	26	Female	Asia	Upper-Mid	High School	Full-time Employee	4.19	108	141	86	0	4	8.660723	3.035483	6.456507	8	1	9.7	78	0	Laptop	65	20.8
34	45	Male	North America	Low	Master	Part-time/Shift	0.98	19	85	3	118	1	9.232808	2.864011	4	1	1	2	86	0	Laptop	54	6.2
35	18	Female	Middle East	Low	Bachelor	Student	6.46	141	123	132	0	2	6.765648	2.837932	4.971281	13	5.102046	8.6	66	0	iPhone	73	27.5
36	22	Female	Asia	Low	Bachelor	Full-time Employee	3.75	113	456	78	74	4	6.684186	3.051658	5.483171	4	2.857873	9.9	27	1	iPhone	53	28.2
37	32	Male	Asia	Low	PhD	Unemployed_Looking	5.96	101	772	115	47	4	8.529182	3.093724	4	4	5.028738	9	9	0	Android	67	41
38	20	Male	North America	Lower-Mid	High School	Full-time Employee	2.19	61	480	71	103	4	6.245335	3.101676	5	0	1.900088	8.7	42	0	iPhone	45	20.7
39	41	Male	Asia	High	Master	Full-time Employee	4.54	58	172	34	187	5	7.548714	3.154849	4	2	5.891886	8.2	61	0	Android	52	19.9
40	13	Male	Africa	Low	High School	Student	6.3	152	361	148	233	7	8.010635	3.271909	4	0	4.654097	9.6	33	0	iPhone	67	33.9
41	35	Female	Europe	High	High School	Unemployed_Looking	9.89	171	231	61	13	2	7.075745	2.936991	5.257728	14	2.074808	7.3	62	0	Android	72	42.5
42	20	Female	South America	Low	Bachelor	Part-time/Shift	6.4	137	207	173	0	3	6.148762	2.938572	7.230149	3	4.990323	7.9	50	0	Laptop	67	29.6
43	40	Male	Africa	Lower-Mid	Master	Part-time/Shift	4.86	83	114	199	166	2	7.276885	2.979726	4	3	10	0.2	73	0	Tablet	64	20.8
44	22	Female	North America	Upper-Mid	Bachelor	Part-time/Shift	8.32	176	223	120	0	1	5.951503	2.808038	3.486715	10	3.188267	9.1	63	0	Laptop	62	38.1
45	49	Male	Europe	Low	Bachelor	Caregiver/Home	3.9	77	150	99	0	0	8.502375	2.655405	4	3	10	0.3	75	0	Tablet	50	20.2
46	23	Female	Europe	Upper-Mid	Bachelor	Full-time Employee	3.7	88	158	81	104	6	7.519196	3.15196	7.560517	3	4.655138	9.4	93	0	Laptop	58	18.3
47	27	Male	North America	Upper-Mid	Bachelor	Student	11.03	208	159	68	0	3	6.262353	2.974223	4	16	3.012163	8.7	65	0	Tablet	65.299301	46.1
48	42	Female	Middle East	High	Master	Caregiver/Home	4.71	108	268	433	0	4	9.186658	3.058916	4	0	9.927074	8.4	0	0	iPhone	76	36.684152
49	21	Female	Europe	Upper-Mid	Bachelor	Student	5.66	122	157	256	9	3	8.403072	3.070523	6.515636	3	1	8.5	79	0	Tablet	68	25.3
50	38	Male	Asia	High	Bachelor	Part-time/Shift	5.53	75	268	101	92	3	6.29638	2.920115	5	14	1	9.4	60	0	Tablet	47	36.684152
51	37	Female	South America	Lower-Mid	Bachelor	Unemployed_Looking	11.55	222	230	496	26	7	5.659953	3.293552	6.138339	16	6.63413	6.7	1	0	Android	68	51.1
52	23	Female	North America	Lower-Mid	Master	Unemployed_Looking	14.96	143	434	262	231	0	4.090027	2.679415	5.236916	16	10	2	24	1	Laptop	65.299301	56.6
53	21	Female	Europe	Low	Bachelor	Student	7.94	141	802	62	145	5	7.830058	3.107177	5.37784	13	1.759401	9.9	0	0	Android	58	49.1
54	14	Male	Middle East	Lower-Mid	High School	Student	9.06	152	165	256	63	4	7.821375	3.136124	4	14	4.855642	0.4	41.5986	0	Tablet	71	36.684152
55	15	Female	Middle East	Lower-Mid	High School	Student	9.94	177	104	180	0	4	6.412085	2.995108	9.261982	12	1	9.4	64	0	Tablet	75	38
56	27	Female	South America	Upper-Mid	Master	Part-time/Shift	14.38	200	476	148	46	4	4.659009	3.081277	5.106783	22	5.006263	0.9	16	0	iPhone	74	61.1
57	17	Male	Europe	Lower-Mid	High School	Student	6.76	146	182	166	0	3	7.211653	2.991686	4	4	1.157802	9.2	55	0	iPhone	57	36.684152
58	34	Male	Europe	Upper-Mid	Bachelor	Unemployed_Looking	2.45	39	545	46	182	4	8.388344	3.050716	4	0	2.872693	2.5	41.5986	0	Laptop	62	21.9
59	16	Male	Africa	Low	High School	Student	4.55	104	517	50	130	6	9.176369	3.237666	4	4	3.889766	9.9	36	0	Laptop	68	29.9
60	18	Male	Europe	Lower-Mid	Bachelor	Part-time/Shift	2.56	80	119	191	44	3	7.758271	2.914039	4	0	1	8.2	71	0	Laptop	75	13
61	30	Male	Asia	Upper-Mid	Bachelor	Full-time Employee	5.59	153	268	41	45	4	7.574544	3.134741	4	0	10	0.9	68	0	iPhone	60	36.684152
62	17	Male	North America	Lower-Mid	High School	Student	3.96	59	337	50	229	2	7.426578	2.988398	4	8	1	8.4	60	0	iPhone	63	20.3
63	19	Male	North America	Low	Bachelor	Part-time/Shift	2.78	92	264	258	62	5	8.156715	3.134165	4	0	1	8.6	42	0	Android	54	18.9
64	46	Female	Asia	Low	Master	Full-time Employee	8.23	199	404	39	135	5	7.558765	3.252965	7.809976	9	1	6.4	40	0	Laptop	53	46.9
65	24	Female	Asia	Upper-Mid	Bachelor	Student	13.65	311	176	332	124	0	6.224374	2.712435	9.874961	19	9.352622	6.7	55	1	Laptop	73	60.9
66	32	Female	Europe	Upper-Mid	Master	Part-time/Shift	6.28	103	379	120	212	3	8.296488	2.992062	5.198323	3	1	8.9	41	0	iPhone	79	31.6
67	33	Female	Europe	High	Bachelor	Full-time Employee	10.65	175	432	91	77	3	7.542667	3.043635	9.611415	16	5.090869	9.6	22	0	Tablet	64	49.9
68	32	Male	Asia	Upper-Mid	High School	Full-time Employee	7.93	187	423	186	72	3	8.039315	2.94909	4	6	1	9.9	36	0	Laptop	75	43.8
69	18	Female	Europe	Lower-Mid	Bachelor	Student	5.47	103	455	252	0	1	8.220905	2.743194	4	7	7.171132	7.6	13	0	Android	65.299301	30.5
70	50	Female	South America	Lower-Mid	Bachelor	Full-time Employee	5.05	38	272	71	76	2	9.206381	2.81157	9.036648	7	1	8.4	57	0	Android	59	22.6
71	29	Female	Asia	Upper-Mid	Bachelor	Full-time Employee	2.33	106	591	75	175	6	7.852483	3.314736	4.689862	2	7.708833	8.5	6	0	Laptop	65.299301	27.8
72	46	Male	Asia	Upper-Mid	Bachelor	Part-time/Shift	12.74	247	273	203	170	4	6.134635	3.025474	4	20	5.913954	5.8	29	1	iPhone	80	57.6
73	33	Male	Middle East	High	High School	Part-time/Shift	4.98	109	206	75	218	0	8.346253	2.7231	4	4	5.280804	6.9	76	0	iPhone	65	25
74	31	Male	Europe	Low	PhD	Full-time Employee	4.22	107	195	114	13	5	8.261186	3.076171	5	4	1.845822	6.418568	66	0	Laptop	81	22.2
75	22	Female	Europe	Upper-Mid	Bachelor	Full-time Employee	7.88	179	131	168	52	4	5.537073	3.099342	5.60867	8	1.111772	8.5	46	0	Android	39	35.7
76	24	Female	Europe	Low	Bachelor	Student	5.64	111	254	262	139	4	9.182695	3.012847	7.54133	6	9.890389	5.1	63	0	Tablet	65.299301	26.9
77	50	Male	North America	Lower-Mid	Bachelor	Full-time Employee	8.36	206	186	0	81	4	8.780486	3.027362	4	16	2.896086	9.7	64	0	Tablet	66	42.3
78	33	Female	Africa	Upper-Mid	High School	Full-time Employee	4.69	103	214	54	134	2	8.3108	2.907132	6.400808	5	1	8	67	1	Laptop	62	24.1
79	23	Male	Asia	Low	Bachelor	Student	6.7	169	151	82	184	1	8.695588	2.759069	4	6	3.2056	8.3	55	0	Laptop	66	31.8
80	32	Female	North America	Lower-Mid	Bachelor	Unemployed_Looking	4.35	102	462	588	293	5	9.853525	3.122881	6.664223	8	5.877771	9.6	0	0	Tablet	45	29.9
81	19	Female	Middle East	Low	Bachelor	Student	5.41	126	560	246	84	2	8.461322	2.962266	6.639206	8	5.086309	6.2	12	0	iPhone	63	35.3
82	47	Male	Africa	Upper-Mid	Bachelor	Caregiver/Home	8.8	217	217	20	91	7	7.721897	3.312992	5	12	2.757798	7.4	75	0	Laptop	69	44.7
83	22	Female	Europe	Low	Bachelor	Unemployed_Looking	3.38	49	73	73	62	3	7.181162	2.978567	6.391041	5	5.064861	0	83	0	Tablet	80	11.3
84	15	Female	Europe	Lower-Mid	High School	Student	3.61	65	529	182	102	4	8.326906	3.062668	4.227989	2	2.881165	8.7	21	0	Tablet	60	24.8
85	46	Female	South America	Upper-Mid	PhD	Part-time/Shift	12	278	328	44	90	1	5.417204	2.792814	5.947377	16	8.20321	5.4	56	1	Laptop	65.299301	60.6
86	41	Female	Europe	Lower-Mid	PhD	Part-time/Shift	5.49	143	55	19	39	4	7.878293	3.151733	5.415904	6	9.889663	1.6	71	0	Android	60	26.2
87	22	Male	Africa	Low	Bachelor	Part-time/Shift	6	158	288	207	228	0	7.055442	2.691779	4	8	1	8.1	62	0	Laptop	74	32.4
88	23	Female	North America	Lower-Mid	Bachelor	Student	7.63	173	320	49	115	2	8.342519	2.902702	7.402066	11	8.042292	8.6	65	0	iPhone	68	38.6
89	28	Female	Europe	High	Bachelor	Part-time/Shift	5.73	175	436	53	139	0	7.229126	2.738138	4	6	5.303383	8.2	35	0	Laptop	60	38
90	20	Male	North America	Lower-Mid	Bachelor	Part-time/Shift	4.65	84	286	509	74	1	6.721488	2.862709	4	0	9.205372	4.7	29	1	Tablet	70	22.9
91	16	Female	Middle East	Lower-Mid	High School	Student	3.31	112	800	106	246	2	7.122163	2.947314	6.650812	7	9.142537	9.5	0	0	Tablet	66	34.9
92	23	Female	South America	Lower-Mid	Master	Student	10.06	203	138	298	70	0	8.367232	2.730786	6.536336	14	1	9.2	57	1	iPhone	75	42.1
93	22	Female	Europe	Low	High School	Full-time Employee	5.49	139	210	160	119	5	7.186156	3.146343	6.898509	7	1	9	72	0	Laptop	58	36.684152
94	19	Male	Europe	Low	Bachelor	Student	4.06	78	141	107	52	2	7.560683	2.908582	4	7	1.111807	9.4	53	0	Tablet	62	17.3
95	33	Male	Asia	Lower-Mid	Master	Full-time Employee	13.45	270	292	123	0	3	7.272793	2.858433	4	14	10	0.3	48	1	Laptop	61	61.1
96	24	Male	Europe	Low	Master	Student	6.8	211	100	40	111	3	7.989388	2.892591	4	11	9.987032	0	74	0	Android	50	34.9
97	29	Male	South America	Low	High School	Part-time/Shift	10.09	246	302	373	149	5	7.740628	3.101556	4	18	1.879196	7.7	42	0	Tablet	68	50.8
98	41	Male	Asia	Low	Bachelor	Part-time/Shift	5.34	70	230	157	146	3	7.067563	2.94396	5	4	6.110832	8.8	35	0	Tablet	68	23.8
99	19	Male	South America	Lower-Mid	Bachelor	Full-time Employee	14.01	190	557	302	86	4	6.152393	2.991961	5	14	9.924496	2.1	0	1	Tablet	65	60.9
100	16	Female	Africa	Low	High School	Student	5.12	101	270	86	239	7	6.887138	3.329058	7.44856	5	1	10	74	0	Android	63	24.8

End of preview. Expand in Data Studio

🌐 Digital Habits and Mental Health

Behavioral and Digital Wellbeing Dataset (2025)

A curated dataset exploring how digital lifestyles shape mental wellbeing — linking screen time, phone use, sleep, and psychological factors such as stress, focus, and happiness.
Includes 3,500 anonymized participants and 24 research-inspired features, designed for behavioral research, machine learning, and explainable AI.

📘 Dataset Overview

Field	Description
File name	`Data.csv`
Rows	3,500
Columns	24
Target	`high_risk_flag`

🧠 Feature Groups

Demographics: age · gender · region · income_level · education_level
Digital Behavior: daily_screen_time · phone_unlocks · notifications_per_day · social_media_hours · study_time · work_hours
Mental Health Indicators: stress_level · anxiety_level · depression_level · happiness_score · focus_score · productivity_score
Derived Ratios: screen_to_sleep_ratio · social_work_ratio · wellbeing_index
Target: high_risk_flag — binary wellbeing-risk indicator (0 = low, 1 = high)

🎯 Target Definition

The target variable high_risk_flag labels individuals at elevated mental-health risk, defined by a composite of:

High digital engagement (screen time, unlocks, notifications)
Elevated stress or anxiety
Lower happiness/focus scores

Distribution: roughly 15–20 % high-risk, aligning with behavioral research estimates.

🚀 Example Usage

from datasets import load_dataset

dataset = load_dataset("TarekMasryo/digital-habits-mental-health")

---

## 🔬 Research & Applications

- Predict wellbeing risk from digital patterns  
- Correlate stress, sleep, and screen exposure  
- Build explainable models (SHAP / LIME)  
- Segment behavioral profiles by lifestyle balance  
- Apply calibration or threshold tuning for decision systems  

---

## 🧩 Reproducibility

- No missing or duplicate values  
- Deterministic preprocessing and schema  
- Compatible with Kaggle, Colab, and Jupyter  

---

---

## 🧭 Ethical Considerations
Educational/research dataset only — **not** for clinical use, diagnosis, or treatment.

## 📚 Citation
Please cite the dataset URL on Hugging Face and the license below when using this data.

## 📜 License
**CC BY 4.0 (Attribution)** — Free to share and adapt with attribution.

Downloads last month: 101

Size of downloaded dataset files:

606 kB

Size of the auto-converted Parquet files:

241 kB

Number of rows:

3,500