/Insights_and_prediction_of_Suicidal_incidence-

This repository is based on a data set of WHO of 1979 to 2016. Some of insights May help to understand the scenario and mental health of all over the world

Primary LanguageJupyter Notebook

Insights_and_prediction_of_Suicidal_incidence-

This repository is based on a data set of WHO of 1979 to 2016. Some of insights May help to understand the scenario and mental health of all over the world

Data :

WHO Suicide Statistics Basic historical (1979-2016) data by country, year and demographic groups

Data Source :

https://www.kaggle.com/szamil/who-suicide-statistics

About Data:

This Data set includes Suicidal data of 1979 to 2016 of various country & their population , various age, gender & number of suicide.

My Perception :

There can be many reason behind Suicide. But Mostly I can feel it as an expression of poor mental health. Due to running pandemic many people are writing about mental health, So I thought to explore about past suicidal rate. I presented here, some of relations between year, age,gender and so on... I had an idea to fit a model to predict the upcoming scenario.

What I did

  • Observe the Data set
  • Handle the missing Field
  • Explore Insight

Insights Explored :

  • Year vs number of suicidal incidence based on gender
  • Suicidal incidence based on age & correlation with gender
  • Correlation between year & age
  • Correlation between country & number of suicidal incidence
  • Visualization of the linear relationship of total suicidal incidence per year all over the world

Future work to do :

  • Design a model
  • Predict about the upcoming scenario