Dataset: Mountaineering Deaths: 14 Tallest Mountains

About this Dataset

Mountaineering Deaths: 14 Tallest Mountains

Context

The International Climbing and Mountaineering Federation, commonly known by its French name Union Internationale des Associations d'Alpinisme (UIAA) recognizes 14 mountains that are more than 8,000 meters (26,247 ft) in height above sea level, and are considered to be sufficiently independent from neighboring peaks. These mountains are popularly called eight-thousanders. Even though all eight-thousanders have been summited, more than 1000 people have died trying to make it to the summits of these mountains.

Content

The files follow mountain-name.csv as a standard naming format. Each of these files contains the following:

Date: Date on which the mountaineer died

Name: Name of the deceased

Nationality: Country which the mountaineer belonged to

Cause of death: Reason for the death

Tables

Annapurna I

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.annapurna_i

5.38 KB
73 rows
4 columns


CREATE TABLE annapurna_i (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Broad Peak

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.broad_peak

4.75 KB
35 rows
4 columns


CREATE TABLE broad_peak (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Cho Oyu

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.cho_oyu

5.09 KB
52 rows
4 columns


CREATE TABLE cho_oyu (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Dhaulagiri I

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.dhaulagiri_i

5.71 KB
83 rows
4 columns


CREATE TABLE dhaulagiri_i (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Everest

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.everest

12.01 KB
311 rows
4 columns


CREATE TABLE everest (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Gasherbrum I

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.gasherbrum_i

4.55 KB
34 rows
4 columns


CREATE TABLE gasherbrum_i (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Gasherbrum Ii

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.gasherbrum_ii

4.25 KB
23 rows
4 columns


CREATE TABLE gasherbrum_ii (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

K2

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.k2

6.54 KB
92 rows
4 columns


CREATE TABLE k2 (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Kangchenjunga

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.kangchenjunga

5.26 KB
57 rows
4 columns


CREATE TABLE kangchenjunga (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Lhotse

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.lhotse

4.41 KB
31 rows
4 columns


CREATE TABLE lhotse (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Makalu

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.makalu

4.98 KB
40 rows
4 columns


CREATE TABLE makalu (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Manaslu

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.manaslu

6.06 KB
86 rows
4 columns


CREATE TABLE manaslu (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Nanga Parbat

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.nanga_parbat

5.69 KB
85 rows
4 columns


CREATE TABLE nanga_parbat (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);

Shishapangma

@kaggle.rprkh15_mountaineering_deaths_14_tallest_mountains.shishapangma

4.43 KB
31 rows
4 columns


CREATE TABLE shishapangma (
  "date" VARCHAR,
  "name" VARCHAR,
  "nationality" VARCHAR,
  "cause_of_death" VARCHAR
);