The World's Highest Mountains by Kaggle | Other

About this Dataset

The World's Highest Mountains

A Dataset of Peaks with at Least 500m Prominence

About this dataset

How to use the dataset

In order to use this dataset, you will need to understand what each column represents. The columns are as follows:

The mountain's rank. This is determined by the mountain's height above the highest saddle connecting it to a higher summit.
The mountain's range. This is the range of mountains that the mountain is in.
The number of ascents before 2004. This is the number of times that the mountain was climbed before 2004.
The number of ascents before 2004.1. This is the number of times that the mountain was climbed before 2004, corrected for climbs that may have been made since then.
The number of ascents before 2004.2. This is the number of times that the mountain was climbed before 2004, correcting for any changes in elevation since then

Research Ideas

Study Mountain climbing routes
Research Tourist attractions
Study Geographical features

Acknowledgements

Data source: The data was scraped from peaklist.org and wikipedia using a python script

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_1.csv

Column name	Description
0
1

File: df_3.csv

Column name	Description
Rank[dp 1]	The mountain's rank. (Integer)
Range	The mountain range the mountain is located in. (String)
Ascents before2004[dp 6]	The number of ascents before 2004. (Integer)
Ascents before2004[dp 6].1	The number of ascents before 2004. (Integer)
Ascents before2004[dp 6].2	The number of ascents before 2004. (Integer)
Country	The country the mountain is located in. (String)

File: df_2.csv

Column name	Description
0

Tables

Df 1

@kaggle.thedevastator_the_world_s_highest_mountains.df_1

4.26 KB
1 row
3 columns


CREATE TABLE df_1 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);

Df 2

@kaggle.thedevastator_the_world_s_highest_mountains.df_2

2.28 KB
2 rows
2 columns


CREATE TABLE df_2 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR
);

Df 3

@kaggle.thedevastator_the_world_s_highest_mountains.df_3

8.38 KB
122 rows
7 columns


CREATE TABLE df_3 (
  "unnamed_0" DOUBLE,
  "rank_dp_1" VARCHAR,
  "range" VARCHAR,
  "ascents_before2004_dp_6" VARCHAR,
  "ascents_before2004_dp_6_1" VARCHAR,
  "ascents_before2004_dp_6_2" VARCHAR,
  "country" VARCHAR
);