Name: Economic Data Of The Top Countries
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Economic Data Of The Top Countries

This datasets include columns such as :

Country Name: Indicates the name of the country

Country Code: Represents a unique code associated with the country

Indicator Name: Describes the type of data or indicator being recorded. This column specifies various indicators, including "Intentional homicides, female (per 100,000 female)," "Battle-related deaths (number of people)," and "Voice and Accountability: Percentile Rank," among others.

Indicator Code: Provides a unique code associated with each indicator.

1999 to 2022: These columns represent data values for each respective year from 1999 to 2022. The data is in numeric format, and each column corresponds to a specific year.

For some rows, data values are missing, as indicated by empty cells or commas.

Please note that the dataset appears to contain different types of indicators, and each indicator may have specific units and interpretations. To analyze and interpret this data further, you may want to:

Perform data cleaning to handle missing values.
Visualize the data using plots and charts.
Calculate summary statistics (e.g., mean, median, standard deviation) for numeric data.
Explore trends and patterns over the years for each indicator

Tables

Economic Data

@kaggle.damerajee_economic_data_of_the_top_countries.economic_data

2.17 MB
16,247 rows
29 columns

CREATE TABLE economic_data (
  "country_name" VARCHAR,
  "country_code" VARCHAR,
  "indicator_name" VARCHAR,
  "indicator_code" VARCHAR,
  "n_1999" DOUBLE  -- 1999,
  "n_2000" DOUBLE  -- 2000,
  "n_2001" DOUBLE  -- 2001,
  "n_2002" DOUBLE  -- 2002,
  "n_2003" DOUBLE  -- 2003,
  "n_2004" DOUBLE  -- 2004,
  "n_2005" DOUBLE  -- 2005,
  "n_2006" DOUBLE  -- 2006,
  "n_2007" DOUBLE  -- 2007,
  "n_2008" DOUBLE  -- 2008,
  "n_2009" DOUBLE  -- 2009,
  "n_2010" DOUBLE  -- 2010,
  "n_2011" DOUBLE  -- 2011,
  "n_2012" DOUBLE  -- 2012,
  "n_2013" DOUBLE  -- 2013,
  "n_2014" DOUBLE  -- 2014,
  "n_2015" DOUBLE  -- 2015,
  "n_2016" DOUBLE  -- 2016,
  "n_2017" DOUBLE  -- 2017,
  "n_2018" DOUBLE  -- 2018,
  "n_2019" DOUBLE  -- 2019,
  "n_2020" DOUBLE  -- 2020,
  "n_2021" DOUBLE  -- 2021,
  "n_2022" DOUBLE  -- 2022,
  "unnamed_67" VARCHAR  -- Unnamed: 67
);