The Dataset Analyzer is a Python-based tool designed to compute statistical metrics from a dataset of integers. This tool is built to be user-friendly and easily accessible to anyone needing to analyze numerical data.

• Computes maximum and minimum values from the dataset.
• Calculates the median and arithmetic mean.
• Identifies the longest increasing and decreasing sequences of numbers.

• Python 3.x
• NumPy library

• Clone this repository to your local machine using Git:

git clone https://github.com/i-stanko/DatasetAnalyzer.git

• Navigate to the repository directory:

cd DatasetAnalyzer

• Ensure you have Python 3 installed on your system. You will also need the NumPy library, which can be installed using pip:

pip install numpy

• To run the Dataset Analyzer, use the following command in your terminal:

python3 data_stats.py

• When prompted, enter the file path to your dataset. The file should contain a series of integers, each on a new line.

Enter the file path: path/to/your/dataset.txt

After processing, the statistical metrics and sequences will be displayed in the terminal. For long sequences, only a portion of the sequence will be shown for readability.

• This tool is designed to be used by anyone with access to Python and the ability to install necessary libraries.
• The tool can process any file containing a series of integers, allowing for versatility in dataset choice.
• All software and methodologies used are open-source and legally available. Users are encouraged to attribute any external sources if modifications are made.