IMF Neural Dashboard &MacroVision By Prof.Eldirdiri F.Ibrahim et Dr.Afaf Babiker

Description of the Dataset
The dataset used in this study was derived from publicly available IMF data, representing a snapshot of selected macroeconomic indicators across multiple countries. It was compiled to include recent historical data, covering variables that reflect economic health and government fiscal stability.
The key features of the dataset include:
Country – Name of the country to which the data point belongs. This enables cross-country comparisons.
Year – The specific year for which the indicator values were recorded, allowing for longitudinal (time-series) analysis.

gdp_usd_billion – Gross Domestic Product measured in billions of US dollars. This is a standard measure of economic output and is essential for comparing the relative size of economies.
inflation_rate – Annual inflation rate expressed as a percentage, reflecting the rate at which the general level of prices for goods and services is rising, and subsequently, the erosion of purchasing power.

unemployment_rate – Percentage of the labor force that is unemployed. This is a critical social and economic indicator of labor market health.

government_debt_pct_gdp – Government debt as a percentage of GDP, which indicates the fiscal leverage of a country and its potential vulnerability to financial crises.
The dataset was gathered from IMF reports and databases using structured downloads in CSV format, ensuring a clean, machine-readable dataset suitable for analysis
in Python or other data analysis tools. Data cleaning steps included:

Removing or imputing missing values to prevent modeling bias.

Standardizing column names for consistency.

Converting data types to numerical formats for statistical and neural network analysis.
Scaling numeric features to ensure comparability for machine learning models.

RangeIndex: 50 entries, 0 to 49
Data columns (total 7 columns):

# Column Non-Null Count Dtype
--- ------ -------------- -----
0 id 50 non-null int64
1 country 50 non-null object
2 year 50 non-null int64
3 gdp_usd_billion 50 non-null float64
4 inflation_rate 50 non-null float64
5 unemployment_rate 50 non-null float64
6 government_debt_pct_gdp 50 non-null float64
dtypes: float64(4), int64(2), object(1)
memory usage: 2.9+ KB
None
أول 5 صفوف:

id country year gdp_usd_billion inflation_rate unemployment_rate \
0 8 Brazil 2015 1524.14 5.08 4.46
1 6 China 2015 1769.84 6.50 8.11
2 4 France 2015 2236.61 1.10 11.71
3 3 Germany 2015 1094.90 8.76 3.48
4 7 India 2015 2174.82 6.88 13.48
government_debt_pct_gdp
0