MLEnd Happiness

A dataset of perceived happiness

About Dataset

Philosophers have long debated whether happiness stands as life's ultimate goal. Despite our ongoing pursuit, the genuine measure of happiness remains elusive. Yet, our quest for understanding has led to the exploration of novel approaches that hold promise in gauging an individual's happiness.

Traditionally, happiness has been assessed primarily through self-reported measures. However, a novel perspective emerges within the dataset that we present here. Rather than directly inquiring about an individual's self-perceived happiness, we pivot the assessment to the perspectives of their close associates. This paradigm shift prompts participants to gather data from those intimately connected to them, such as friends and family. While the MLEnd Happiness Dataset may not definitively ascertain an individual's perceived happiness, it offers insight into how their immediate circle perceives their happiness. And by extend, we have a small window to the participant's perpective.

The MLEnd Happiness Dataset comprises 310 samples, collected by over 80 participants. This collection offers a unique opportunity to explore potential connections between demographic factors and the perceived happiness of an individual. The dataset was curated by students at the Queen Mary Hainan School, presenting a valuable resource for investigating the interplay between demographics and the perception of happiness.

Enjoy!

Sample of data

The MLEnd Happiness Dataset consist of 9 attributes of individual and happiness-level (from 1-to-10) perceived by participant. The attributes are namely; Age (years), Height (cm), Weight (Kg), Education-level, Number of languages known, likeness of Vollyball and Tennis, Name of Favourite Movie.

Here is a sample of data:

Age	Height	Weight	EducationLevel	NumberOfLanguages	LikeVollyball	LikeTableTennis	FavouriteMovie	Province	HappinessLevel
48.0	162.0	61.0	Undergraduate Degree (UG)	3	False	True	The Lord of the Rings	Henan	9.0
48.0	172.0	65.0	Postgraduate/ Master's Degree (PG)	3	True	True	Wolf Warriors	Henan	10.0
19.0	169.0	61.0	Undergraduate Degree (UG)	2	True	False	Guardians of the Galaxy	Henan	9.0
18.0	176.0	95.0	Undergraduate Degree (UG)	2	True	True	Fast & Furious	Liaoning	8.0
18.0	168.0	52.0	Undergraduate Degree (UG)	2	False	False	The Wandering Earth	Tianjin	8.0

Download Data

Install mlend (>1.0.0.2)

To download the Yummy dataset, first step is to install mlend library. Use pip to install library.

pip install mlend

Download dataset

To download happiness dataset make sure to updgrade mlend library to version>1.0.0.2

pip install mlend --upgrade

To download dataset, use following piece of code

import mlend
from mlend import download_happiness, download_load_happiness, happiness_load

datadir = download_happiness(save_to = '../MLEnd')

It will download a CSV file in folder ../MLEnd/happiness directory

Read dataset

After downloading, to load dataset use following piece of code

import mlend
from mlend import download_happiness, download_load_happiness, happiness_load

datadir = download_happiness(save_to = '../MLEnd')

D = happiness_load(datadir)

Download and read dataset

Alternately, use following piece of code to download and load data with one line

import mlend
from mlend import download_load_happiness

D = download_load_happiness()

D.head()

MLEnd Documentation

For mlend documentation use help(fun) in python terminal or Jupyter-notebook. Alternately, check out