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World Cities Geo

Hugging Face

Dataset containing city, country, region, and continents alongside their longitude and latitude co-ordinates. Cartesian coordinates are provided in x, y, z features.

descriptionjamescalam--world-cities-geo.parquet view_list500 rows cloud_downloadjamescalam/world-cities-geo
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Data preview

500 rows · 9 columns · showing first 12
# city text country text region text continent text latitude float longitude float x float y float z float
1 KabulAfghanistanSouthern AsiaAsia34.5269.18186649073610
2 KandaharAfghanistanSouthern AsiaAsia31.6165.7223349453339
3 Mazar-e SharifAfghanistanSouthern AsiaAsia36.7167.11198747063808
4 HeratAfghanistanSouthern AsiaAsia34.3462.19245446533594
5 JalalabadAfghanistanSouthern AsiaAsia34.4270.45175949533601
6 KonduzAfghanistanSouthern AsiaAsia36.7268.86184247633809
7 GhazniAfghanistanSouthern AsiaAsia33.5568.43195249373521
8 BalkhAfghanistanSouthern AsiaAsia36.7666.9200346953813
9 BaghlanAfghanistanSouthern AsiaAsia36.1268.7186947953756
10 GardezAfghanistanSouthern AsiaAsia33.5969.22188349623525
11 KhostAfghanistanSouthern AsiaAsia33.3469.92182749993501
12 KhanabadAfghanistanSouthern AsiaAsia36.6869.11182247743806

Auto-generated charts

World Cities Geo: 500 rows by 9 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Rows500
Columns9
Numeric cols3
Categorical cols3

Charts

Total x by country

Top country values ranked by summed x.

x vs y

x vs y, coloured by country.

Distribution of x

Histogram of x values.

Correlation of numeric columns

Pearson correlation between numeric columns.

x by country

Spread of x across country groups.

Interesting queries to try

Columns

  • city text
  • country categorical
  • region categorical
  • continent categorical
  • latitude numeric
  • longitude numeric
  • x numeric
  • y numeric
  • z numeric

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