A Python package to analyze job market data
Project description
Job Market Analyzer 📊
A Python package to analyze job market data for Data Analyst roles.
Features
- Analyze job postings from CSV
- Identify top required skills
- Calculate salary statistics
- Visualize trends using charts
Installation
pip install job-market-analyzer
from job_market_analyzer import load_data, filter_jobs, top_skills
df = load_data("jobs.csv")
filtered = filter_jobs(df, "Data Analyst")
print(top_skills(filtered))
This makes PyPI render it **cleanly**.
---
### 🔧 IMPROVEMENT 2: Do NOT ship `jobs.csv` in real PyPI package (OPTIONAL)
For learning → fine
For real PyPI → better practice:
- Remove `data/jobs.csv` from package
- Let users provide their own CSV
Later we can:
- move sample data to `examples/`
- or download data via API
But this is **optional** for now.
---
### 🔧 IMPROVEMENT 3: Add version info in code (Optional but nice)
In `__init__.py`:
```python
__version__ = "0.1.0"
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file job_market_analyzer-0.1.1.tar.gz.
File metadata
- Download URL: job_market_analyzer-0.1.1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
148d4a92e5e95defc98a3fc8838fcc0e08911ad7c366ec77a3953d89a715783c
|
|
| MD5 |
c22526d0322ed00b80f901d30221eee7
|
|
| BLAKE2b-256 |
0a30ea2bfbbe82a277eaa457d0185a1cf5667aa4229d845f18b43b308438b6c0
|
File details
Details for the file job_market_analyzer-0.1.1-py3-none-any.whl.
File metadata
- Download URL: job_market_analyzer-0.1.1-py3-none-any.whl
- Upload date:
- Size: 4.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bbc5a860d2cb7cc4d0871c782d9993bfdb49aa81eca0338282bb80a2d60b6b87
|
|
| MD5 |
98a139523867e8a2584ba47ce9ce0374
|
|
| BLAKE2b-256 |
b881d66c17aab1e9d252e67f093a21363e73da8de2caeeb739604c27babc2700
|
