59 lines
2.3 KiB
Markdown
59 lines
2.3 KiB
Markdown
*Exploratory data analysis on employment in Germany*
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The dataset 13311-0001 of the Statistischen Bundesamts (Destatis)
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was choosen as the dataset of this project. It was choosen because the author is currently
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searching for employment and is therefore interested in insights into structures and trends
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of the employment market and regional distribution. The dataset differentiates between
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work-sektors and between Self-employed, employed and domestic employed.
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The dataset has a temporal scope from 1991 to 2024, so 33 years.
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Link: https://www-genesis.destatis.de/datenbank/online/statistic/13311/table/13311-0001
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## Question 1: Which working sectors in Germany had the most and the fewest employees over the years?
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**Answer**:
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A **line plot** showing the number of employees per sector from 1999 to 2024 using total employment data.
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- **x-axis**: Year
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- **y-axis**: Number of employees
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- **Color**: One line per sector
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- **Tools**: `pandas`, `matplotlib`
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- **Function used**: `biggest_employment_sectors_timeline()`
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## Question 2: Which sectors in Germany employed the most and the fewest domestic employees over the years?
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**Answer**:
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Same line plot as Question 1, but filtered by **domestic concept** employment data.
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- **Data filtered with**: `etype='Employees (domestic concept)'`
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- **Tools**: `get_df`, `line_plot_multiple_df`
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## Question 3: Which sectors had the most and the fewest self-employed individuals over the years?
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**Answer**:
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Line plot using self-employment data across sectors from 1999 to 2024.
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- **Employment type**: `Self-employed persons a. family workers (domestic)`
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- **Tools**: `get_df`, `line_plot_multiple_df`
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## Question 4: Which sectors grew or declined the most in employment over the years?
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**Answer**:
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A **heatmap** (to be implemented) that visualizes change in employment per sector over time.
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- **x-axis**: Year
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- **y-axis**: Sector
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- **Color scale**: Number of employees (intensity = magnitude)
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- **Tools**: `pandas`, `matplotlib`
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## Question 5: How did different employment types evolve over time?
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**Answer**:
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A line plot comparing the number of employees vs. self-employed individuals from 1999 to 2024.
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- **x-axis**: Year
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- **y-axis**: Number of employees
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- **Lines**: One for each employment type
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- **Function**: `employment_types_timeline()`
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- **Tools**: `pandas`, `matplotlib`
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