The World's Highest Mountains
A Dataset of Peaks with at Least 500m Prominence
@kaggle.thedevastator_the_world_s_highest_mountains
A Dataset of Peaks with at Least 500m Prominence
@kaggle.thedevastator_the_world_s_highest_mountains
In order to use this dataset, you will need to understand what each column represents. The columns are as follows:
Data source: The data was scraped from peaklist.org and wikipedia using a python script
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.
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 |
CREATE TABLE df_1 (
"unnamed_0" BIGINT -- Unnamed: 0,
"n_0" VARCHAR -- 0,
"n_1" VARCHAR -- 1
);CREATE TABLE df_2 (
"unnamed_0" BIGINT -- Unnamed: 0,
"n_0" VARCHAR -- 0
);CREATE TABLE df_3 (
"unnamed_0" DOUBLE -- Unnamed: 0,
"rank_dp_1" VARCHAR -- Rank[dp 1],
"range" VARCHAR,
"ascents_before2004_dp_6" VARCHAR -- Ascents Before2004[dp 6],
"ascents_before2004_dp_6_1" VARCHAR -- Ascents Before2004[dp 6].1,
"ascents_before2004_dp_6_2" VARCHAR -- Ascents Before2004[dp 6].2,
"country" VARCHAR
);Anyone who has the link will be able to view this.