
Data Solutions

Data Extraction
Companies possess a treasure trove of data from measurements, process equipment, and manual data collection, yet this valuable information is often buried in files scattered across the network. Python excels at uncovering these hidden gems by:
- Navigating single or multiple files in directories or spread across various locations.
- Accessing databases with precision.
With its ability to swiftly sift through diverse file formats and structures, Python identifies and extracts critical information, regardless of whether it involves line numbers, cells, keywords, or SQL queries. It ensures that any data format can be effortlessly transformed to fulfill your requirements.
Data Transformation
Transform your extracted data effortlessly, whether it’s individual parameters or related data series from multiple sources:
- Convert formats
- Recalculate values and units
- Apply filters or resample
- Pivot data
- Merge datasets
Store your refined data exactly as you need it, in txt, xls, pdf, or SQL files, ensuring seamless integration and accessibility.


Data Visualization
Unlock the true value of your data with graphics that bring clarity at a glance. The potential is limitless:
- Dive into categorical insights with vibrant pie charts and impactful bar charts.
- Explore value trends through dynamic time series, immersive 2D visualizations, and insightful correlation plots.
Transform your data into powerful stories that captivate and inform.
Graphical Access
Revolutionize your workflow with sleek graphical interfaces and a seamlessly integrated program, all conveniently packaged into a single executable file. Streamline your operations and elevate user satisfaction to new heights effortlessly.


Background
Python is one of the most popular interpreted languages today. It is a powerhouse for data science in todays data-driven world, using in particular following libraries:
Pythons’s tkinter integrated library serves simple and user friendly GUIs.

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