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train · 1.23k rows

Country stringclasses 148 values	Year int64 2.02k 2.02k	Headline Consumer Price Inflation float64 -3.75 557 ⌀	Energy Consumer Price Inflation float64 -23.88 306 ⌀	Food Consumer Price Inflation float64 -22.03 601 ⌀	Official Core Consumer Price Inflation float64 -28.62 58.9 ⌀	Producer Price Inflation float64 -83.34 128 ⌀	GDP deflator Index growth rate float64 -26.1 812 ⌀	Continent/Region stringclasses 10 values	Score float64 1.86 7.84	GDP per Capita float64 0 2.21	Social support float64 0 1.64	Healthy life expectancy at birth float64 0 1.14	Freedom to make life choices float64 0 0.77	Generosity float64 0 0.84	Perceptions of corruption float64 0 0.59 ⌀
Afghanistan	2,015	-0.66	-4.25	-0.84	0.219999	null	2.66509	South Asia	3.575	0.31982	0.30285	0.30335	0.23414	0.3651	0.09719
Afghanistan	2,016	4.38	2.07	5.67	5.19276	null	-2.409509	South Asia	3.36	0.38227	0.11037	0.17344	0.1643	0.31268	0.07112
Afghanistan	2,017	4.976	4.44	6.94	5.423228	null	2.404	South Asia	3.794	0.401477	0.581543	0.180747	0.10618	0.311871	0.061158
Afghanistan	2,018	0.63	1.474185	-1.045952	-0.126033	null	2.071208	South Asia	3.632	0.332	0.537	0.255	0.085	0.191	0.036
Afghanistan	2,019	2.302	-2.494359	3.79477	null	null	6.520928	South Asia	3.203	0.35	0.517	0.361	0	0.158	0.025
Afghanistan	2,020	5.443	null	5.829005	null	null	5.30712	South Asia	2.5669	0.300706	0.356434	0.266052	0	0.135235	0.001226
Afghanistan	2,021	5.062	null	null	null	null	0.524517	South Asia	2.523	0.37	0	0.126	0	0.122	0.01
Afghanistan	2,022	10.6	null	null	null	null	5.475071	South Asia	2.404	0.758	0	0.289	0	0.089	0.005
Afghanistan	2,023	null	null	null	null	null	null	South Asia	1.859	0.645	0	0.087	0	0.093	0.059
Albania	2,015	1.910179	-0.52	4.319489	-0.156957	null	0.564278	Central and Eastern Europe	4.959	0.87867	0.80434	0.81325	0.35733	0.14272	0.06413
Albania	2,016	1.291234	0.04	3.249188	0.151382	-1.613304	-0.632405	Central and Eastern Europe	4.655	0.9553	0.50163	0.73007	0.31866	0.1684	0.05301
Albania	2,017	1.987	1	3.90543	0.819713	2.842246	1.450936	Central and Eastern Europe	4.644	0.996193	0.803685	0.73116	0.381499	0.201313	0.039864
Albania	2,018	2.03	2.8	2.671432	0.928374	1.602622	1.359464	Central and Eastern Europe	4.586	0.916	0.817	0.79	0.419	0.149	0.032
Albania	2,019	1.411	0.68901	2.911938	0.735378	-0.796721	0.363417	Central and Eastern Europe	4.719	0.947	0.848	0.874	0.383	0.178	0.027
Albania	2,020	1.620887	1.420089	3.607454	1.411406	-3.432639	1.413396	Central and Eastern Europe	4.8827	0.906653	0.830484	0.84633	0.461946	0.171028	0.025361
Albania	2,021	2.041472	2.7	3.9	1.679329	2.698908	5.928014	Central and Eastern Europe	5.117	1.008	0.529	0.646	0.491	0.168	0.024
Albania	2,022	6.725203	14.216085	11.203514	6.501041	19.937537	9.651763	Central and Eastern Europe	5.199	1.439	0.646	0.719	0.511	0.138	0.028
Albania	2,023	5.565224	-5.068636	null	5.222531	null	5.194269	Central and Eastern Europe	5.277	1.449	0.951	0.48	0.549	0.133	0.037
Algeria	2,015	4.391666	1.75032	3.604882	null	2.249706	-6.455636	Middle East and North Africa	5.605	0.93929	1.07772	0.61766	0.28579	0.07822	0.17383
Algeria	2,016	5.800304	5.981054	2.616845	null	4.119341	1.54873	Middle East and North Africa	6.355	1.05266	0.83309	0.61804	0.21006	0.07044	0.16157
Algeria	2,017	5.591	2.80178	5.6054	null	1.87861	6.390837	Middle East and North Africa	5.872	1.091864	1.146217	0.617585	0.233336	0.069437	0.146096
Algeria	2,018	3.51	1.238826	1.741229	null	4.081057	7.064787	Middle East and North Africa	5.295	0.979	1.154	0.687	0.077	0.055	0.135
Algeria	2,019	1.952	1.425144	0.643196	null	2.637289	-0.909989	Middle East and North Africa	5.211	1.002	1.16	0.785	0.086	0.073	0.114
Algeria	2,020	2.415131	1.389738	0.220503	null	null	-4.686695	Middle East and North Africa	5.0051	0.943856	1.143004	0.745419	0.083944	0.118915	0.129191
Algeria	2,021	7.226063	1.47	10.13	null	7.432904	15.736744	Middle East and North Africa	4.887	0.946	0.765	0.552	0.119	0.144	0.12
Algeria	2,022	9.265516	2.402097	12.7019	null	null	15.567649	Middle East and North Africa	5.122	1.363	0.97	0.643	0.146	0.106	0.15
Algeria	2,023	9.322174	1.487978	13.256373	null	null	-0.429629	Middle East and North Africa	5.329	1.353	1.298	0.409	0.252	0.073	0.152
Angola	2,015	9.159	null	9.29647	null	9.171123	-3.51839	Sub-Saharan Africa	4.033	0.75778	0.8604	0.16683	0.10384	0.12344	0.07122
Angola	2,016	32.377731	null	21.2355	null	20.392229	21.7743	Sub-Saharan Africa	3.866	0.84731	0.66366	0.04991	0.00589	0.12071	0.08434
Angola	2,017	29.844	null	40.986217	null	23.023481	22.617828	Sub-Saharan Africa	3.795	0.858428	1.104412	0.049869	0	0.097926	0.06972
Angola	2,018	19.63	null	22.350267	null	16.090868	33.762011	Sub-Saharan Africa	3.795	0.73	1.125	0.269	0	0.079	0.061
Argentina	2,015	26.538401	null	null	null	null	26.579992	Latin America and Caribbean	6.574	1.05351	1.24823	0.78723	0.44974	0.11451	0.08484
Argentina	2,016	39.400002	null	49.432299	null	null	41.119381	Latin America and Caribbean	6.65	1.15137	1.06612	0.69711	0.42284	0.10989	0.07296
Argentina	2,017	25.675	null	20.36	null	16.26404	26.006378	Latin America and Caribbean	6.599	1.185295	1.440451	0.695137	0.494519	0.109457	0.05974
Argentina	2,018	34.28	52.759998	32.738937	null	52.216434	40.012154	Latin America and Caribbean	6.388	1.073	1.468	0.744	0.57	0.062	0.054
Argentina	2,019	53.548	49.280769	58.344105	null	58.310783	50.622581	Latin America and Caribbean	6.086	1.092	1.432	0.881	0.471	0.066	0.05
Argentina	2,020	42.015095	19.946911	46.970287	null	42.507	39.840848	Latin America and Caribbean	5.9747	1.028466	1.372544	0.849774	0.52084	0.0701	0.060415
Argentina	2,021	48.40938	26.23	49.846	null	59.085495	54.152412	Latin America and Caribbean	5.929	1.162	0.98	0.646	0.544	0.069	0.067
Argentina	2,022	72.43076	51.398287	74.63056	null	60.273346	41.066531	Latin America and Caribbean	5.967	1.592	1.102	0.662	0.555	0.081	0.085
Argentina	2,023	128.414708	110.883892	144.440149	null	128.476638	112.264944	Latin America and Caribbean	6.024	1.59	1.388	0.427	0.587	0.088	0.082
Armenia	2,015	3.731	38.98	27.85	5.142511	-0.769649	1.160767	Central and Eastern Europe	4.35	0.76821	0.77711	0.7299	0.19847	0.07855	0.039
Armenia	2,016	-1.406	-23.879999	-22.030001	-2.022034	1.511316	0.274027	Central and Eastern Europe	4.36	0.86086	0.62477	0.64083	0.14037	0.07793	0.03616
Armenia	2,017	1.031	-4.636682	3.987113	0.6957	2.158442	2.1337	Central and Eastern Europe	4.376	0.900597	1.007484	0.637524	0.198303	0.083488	0.026674
Armenia	2,018	2.52	0.179646	2.336227	3.704486	0.082491	2.762931	Central and Eastern Europe	4.321	0.816	0.99	0.666	0.26	0.077	0.028
Armenia	2,019	1.443	0.484941	1.86863	1.166173	0.630665	1.479895	Central and Eastern Europe	4.559	0.85	1.055	0.815	0.283	0.095	0.064
Armenia	2,020	1.211436	0.893196	0.269991	1.296061	2.97596	1.845366	Central and Eastern Europe	4.6768	0.808262	1.034577	0.775857	0.378076	0.107226	0.104618
Armenia	2,021	7.184836	1.28	11.21	7.232168	9.866439	6.866741	Central and Eastern Europe	5.283	0.996	0.758	0.585	0.54	0.079	0.198
Armenia	2,022	8.640911	6.251013	12.113491	8.278199	2.681077	6.883165	Central and Eastern Europe	5.399	1.434	0.82	0.668	0.558	0.054	0.21
Armenia	2,023	1.980419	null	-0.49482	2.5	1.588123	2.818734	Central and Eastern Europe	5.342	1.466	1.134	0.443	0.551	0.053	0.16
Australia	2,015	1.508368	2.54	0.921209	2.462425	-4.941791	-0.679919	North America and ANZ	7.284	1.33358	1.30923	0.93156	0.65124	0.43562	0.35637
Australia	2,016	1.276993	1.68	0.816725	1.812424	-1.432975	0.993067	North America and ANZ	7.313	1.44443	1.10476	0.8512	0.56837	0.47407	0.32331
Australia	2,017	1.972	2.89	0.714796	1.604483	8.494633	3.627748	North America and ANZ	7.284	1.484415	1.510042	0.843887	0.601607	0.477699	0.301184
Australia	2,018	1.91	2.345732	0.969949	1.269041	5.211904	2.253979	North America and ANZ	7.272	1.34	1.573	0.91	0.647	0.361	0.302
Australia	2,019	1.61	-1.212143	4.482894	0.679879	1.014439	3.316628	North America and ANZ	7.228	1.372	1.548	1.036	0.557	0.332	0.29
Australia	2,020	0.846906	-0.123279	9.279213	-0.004077	-3.709134	0.851836	North America and ANZ	7.2228	1.310396	1.477146	1.022608	0.621877	0.324974	0.335996
Australia	2,021	2.82	10.93195	7.91	1.406068	5.74	2.8009	North America and ANZ	7.183	1.453	1.076	0.801	0.647	0.291	0.317
Australia	2,022	6.594097	15.457325	8.1667	5.545571	9.882784	7.364805	North America and ANZ	7.162	1.9	1.203	0.772	0.676	0.258	0.341
Australia	2,023	5.597015	7.153446	6.581037	5.309686	null	3.712317	North America and ANZ	7.095	1.899	1.497	0.532	0.677	0.242	0.31
Austria	2,015	0.896565	1.19	0.83186	1.845618	-1.477982	2.300744	Western Europe	7.2	1.33723	1.29704	0.89042	0.62433	0.33088	0.18676
Austria	2,016	0.891596	0.83	0.73333	1.466789	-1.825134	1.848	Western Europe	7.119	1.45038	1.08383	0.80565	0.54355	0.32865	0.21348
Austria	2,017	2.23	1.73	2.365988	1.971253	1.960963	0.861087	Western Europe	7.006	1.487097	1.459945	0.815328	0.567766	0.316472	0.22106
Austria	2,018	2	2.28	1.519314	1.812324	2.38114	1.713312	Western Europe	7.139	1.341	1.504	0.891	0.617	0.242	0.224
Austria	2,019	1.49	0.896825	1.018946	1.653481	0.105699	1.726564	Western Europe	7.246	1.376	1.475	1.016	0.532	0.244	0.226
Austria	2,020	1.381911	2.40053	2.332412	1.899783	-1.592326	1.127116	Western Europe	7.2942	1.317286	1.437445	1.000934	0.603369	0.25551	0.281256
Austria	2,021	2.766667	12.25	0.783	2.15	7.94948	1.943407	Western Europe	7.268	1.492	1.062	0.782	0.64	0.215	0.292
Austria	2,022	8.54687	39.057484	10.74824	5.47948	9.528179	4.737828	Western Europe	7.163	1.931	1.165	0.774	0.623	0.193	0.329
Austria	2,023	7.814134	6.195273	10.97423	7.740555	1.822244	7.615212	Western Europe	7.097	1.927	1.382	0.535	0.63	0.191	0.31
Azerbaijan	2,015	4.032938	-1.623032	6.0708	3.983182	-30.579645	-8.809639	Central and Eastern Europe	5.212	1.02389	0.93793	0.64045	0.3703	0.07799	0.16065
Azerbaijan	2,016	12.440555	7.26	14.7492	4.139677	27.542227	14.628581	Central and Eastern Europe	5.291	1.12373	0.76042	0.54504	0.35327	0.0564	0.17914
Azerbaijan	2,017	12.844	19.562085	16.520918	-0.091964	36.801842	16.226168	Central and Eastern Europe	5.234	1.153602	1.1524	0.540776	0.398156	0.045269	0.180988
Azerbaijan	2,018	2.33	4.412083	1.781523	-0.092049	26.031149	12.184324	Central and Eastern Europe	5.201	1.024	1.161	0.603	0.43	0.031	0.176
Azerbaijan	2,019	2.712	-0.146273	3.692144	-1.842672	3.228012	-0.229558	Central and Eastern Europe	5.208	1.043	1.147	0.769	0.351	0.035	0.182
Azerbaijan	2,020	2.759809	1.517329	4.814721	null	-24.799995	-7.348134	Central and Eastern Europe	5.1648	0.990273	1.180613	0.731134	0.467735	0.040113	0.247307
Azerbaijan	2,021	6.650299	15.68	8.16	null	69.59897	21.156929	Central and Eastern Europe	5.171	1.025	0.841	0.541	0.526	0.043	0.276
Azerbaijan	2,022	13.852259	14.017075	-8.401959	null	84.305852	38.483153	Central and Eastern Europe	5.173	1.458	1.093	0.56	0.601	0.023	0.341
Bahrain	2,015	1.835896	4.61	2.419816	null	null	-9.254994	Middle East and North Africa	5.96	1.32376	1.21624	0.74716	0.45492	0.17362	0.306
Bahrain	2,016	2.799712	3.03	1.291205	null	null	0.246899	Middle East and North Africa	6.218	1.44024	0.94397	0.65696	0.47375	0.17147	0.25772
Bahrain	2,017	1.387	3.48	1.008952	null	null	5.518886	Middle East and North Africa	6.087	1.488412	1.32311	0.653133	0.536747	0.172668	0.257042
Bahrain	2,018	2.08	1.24	2.121254	null	null	4.350749	Middle East and North Africa	6.105	1.338	1.366	0.698	0.594	0.243	0.123
Bahrain	2,019	1	2.873158	2.378758	null	null	0.18431	Middle East and North Africa	6.199	1.362	1.368	0.871	0.536	0.255	0.11
Bahrain	2,020	-2.317706	-2.612588	3.546204	null	null	-6.852484	Middle East and North Africa	6.2273	1.296692	1.315324	0.838836	0.6104	0.287454	0.126697
Bahrain	2,021	-0.606319	-1.26	-0.08	null	null	9.501301	Middle East and North Africa	6.647	1.409	0.899	0.662	0.661	0.246	0.139
Bahrain	2,022	3.625741	-0.942205	9.985653	null	null	7.795866	Middle East and North Africa	6.647	1.854	1.029	0.625	0.693	0.199	0.155
Bahrain	2,023	0.178294	0.258153	6.048445	null	null	-6.323439	Middle East and North Africa	6.173	1.883	1.269	0.389	0.748	0.199	0.138
Bangladesh	2,015	6.185943	3.307822	6.05	null	null	5.872525	South Asia	4.694	0.39753	0.43106	0.60164	0.4082	0.21222	0.12569
Bangladesh	2,016	5.505753	9.190924	4.51	null	null	6.728195	South Asia	4.643	0.54177	0.24749	0.52989	0.39778	0.19132	0.12583
Bangladesh	2,017	5.611	4.241906	7.17	null	3.56819	6.278553	South Asia	4.608	0.586683	0.735132	0.533241	0.478357	0.172255	0.123718
Bangladesh	2,018	5.55	2.020792	6.21	null	4.446658	5.59724	South Asia	4.5	0.532	0.85	0.579	0.58	0.153	0.144
Bangladesh	2,019	5.475	5.127192	5.559882	null	0.985387	4.459154	South Asia	4.456	0.562	0.928	0.723	0.527	0.166	0.143
Bangladesh	2,020	5.691075	6.661811	5.773082	null	1.105347	5.149528	South Asia	4.8328	0.556156	0.868801	0.694941	0.604131	0.176745	0.176736
Bangladesh	2,021	5.306676	1.08	5.3	null	5.503528	4.121175	South Asia	5.025	0.635	0.52	0.514	0.603	0.161	0.164
Bangladesh	2,022	7.696954	4.754039	7.367871	null	5.000808	4.121635	South Asia	5.155	1.06	0.614	0.581	0.622	0.125	0.187
Bangladesh	2,023	9.783334	8.436689	10.507981	null	5.99049	5.420421	South Asia	4.282	1.133	0.513	0.355	0.617	0.139	0.165
Belarus	2,015	13.476087	-1.6	12.2071	12.176555	-0.538748	16.02248	Central and Eastern Europe	5.813	1.03192	1.23289	0.73608	0.37938	0.11046	0.1909
Belarus	2,016	11.802736	4.55	10.5908	10.923608	-1.241667	8.352141	Central and Eastern Europe	5.802	1.13062	1.04993	0.63104	0.29091	0.13942	0.17457
Belarus	2,017	6.032	8.513014	7.015697	5.369061	1.940764	8.61462	Central and Eastern Europe	5.569	1.156558	1.444945	0.637714	0.2954	0.155138	0.156314
Belarus	2,018	4.87	12.453531	4.056931	3.583833	1.862429	12.151629	Central and Eastern Europe	5.483	1.039	1.498	0.7	0.307	0.101	0.154
Belarus	2,019	5.6	10.15949	6.3625	4.629424	0.94263	8.577	Central and Eastern Europe	5.323	1.067	1.465	0.789	0.235	0.094	0.142
Belarus	2,020	5.548144	7.989969	4.271934	4.619709	-0.756722	10.100666	Central and Eastern Europe	5.5399	1.018854	1.387139	0.752589	0.290756	0.089933	0.193607
Belarus	2,021	9.460284	10.24	9.62	9.342464	12.242252	13.05042	Central and Eastern Europe	5.534	1.124	1.007	0.56	0.326	0.07	0.199

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World Happiness Analysis — README

Project Summary

This project explores the World Happiness dataset to understand the factors that most strongly influence happiness across different regions of the world.

We examine:

Economic indicators
Social indicators
Health levels
Institutional trust
Cultural differences between regions
Outliers and unique country behaviors

Dataset Overview

Source: World Happiness Report
Rows: 1232
Columns: 16
Key variables include:
- Happiness Score
- GDP per Capita
- Social Support
- Life Expectancy
- Freedom
- Generosity
- Perception of Corruption (Institutional Trust)

Key Questions

What factors influence happiness the most?
Are all the regions reacting similarly to GDP Changes?
Is GDP per Capita important for the happiness of Western Europe, and Latin America and Carribean?
How do patterns differ between regions: developed and developping regions?
Why do MENA and Western Europe value generosity more than other factors?
Which countries behave similarly to Finland (happy) and to Afghanistan (unhappy)?
What is the role of corruption perception?

📈 Visualizations:

1.Main factor for happiness

2.Influence of GDP rate on happiness

3.Western Europe- present vs lacking factors of happiness increasement

4.MENA happiness factors valuation

5.Freedom and happiness

6.Institutional trust and happiness

🧠 Insights

GDP per Capita, Healthy Life Expectancy, and Social Support remain the strongest and most consistent predictors of global happiness.
Generosity becomes influential only in specific contexts:

in high-income, stable societies where basic needs are already fully met,
and in MENA, where cultural and religious traditions make giving a centralcomponent of social identity and emotional well-being.

Institutional trust is a key driver of happiness in developed regions, where citizens’ confidence in public services, governance, and fairness directly strengthens feelings of freedom and life satisfaction.
Western Europe demonstrates the strongest alignment between freedom, institutional trust, and happiness, reflecting high transparency, effective governance, consistent social support systems, and a stable environment where psychological and civic factors drive well-being.

✅ Conclusions

Trust, Health, and Economic Security are universal happiness drivers.
Cultural and survival differences strongly modify how correlations appear.
Developing vs developed countries: must be analyzed separately.
Data interpretation must consider cultural context (e.g., generosity, corruption.)

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