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STATCRAFT-P

STATCRAFT-P. A browser based rich GUI that helps you harness the power of Python Data Science without having to spend your time and effort in coding. With STATCRAFT-P you can easily bring in and organize your data, access some of the most powerful Python Data Science tools and view the results as tables and charts. STATCRAFT-P makes it simple and easy to focus on analysis rather than programming.

WHY STATCRAFT-P

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Python is a popular programming language that is increasingly being used in a wide variety of applications including Data Science. When it comes to Data Science, a number of Python libraries such as NumPy, SciPy, pandas, Seaborn and scikit-learn provide a set of powerful and robust analytical, visualization, statistical and machine learning tools.
However, using Python and its Data Science libraries need extensive coding and knowledge of the Python system of libraries, which can pose a productivity challenge while trying solve complex Data Science problems. STATCRAFT-P saves time and effort by providing a GUI through running an analysis is as simple as choosing the options from the menu.
Simultaneously, STATCRAFT-P also provides the corresponding Python code, which can be later used in stand-alone or larger applications.

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ARCHITECTURE

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STATCRAFT-P runs on the organization’s web server, allowing users to access Python functions through their browsers.
While the data stays secure on the server, the users have the comfort of working from the familiar environment of their PCs and devices.
The server based architecture eliminates the need for system administrators to manage multiple installations while making it easier to monitor usage and the organisations data resources from a single location.

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FUNCTIONALITIES

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  • Collaboration

    STATCRAFT-P provides great accessibility for teamwork. Users who belong to same organization can share data, models and outcomes with each other, and use them as and when required for their analysis. It is of great help to users.

  • Model Scoring

    Finding a relationship and building a predictive model is only the first step in analytics. To predict the future, the models must be applied to fresh data. STATCRAFT-P allows to save models and apply them to new data sets. What's more, you can also share the saved models with other users in the network.

STATCRAFT FEATURES

Data

  • Import : DBMS, CSV, XLSX for data and .txt and .pdf for NLP

  • Export : CSV, XLSX

Machine Learning

  • MLP: Classifier and Regressor

  • Decision Tree 

  • Support Vector Machine

  • Gaussian Naive Bayes

  • Random Forest

  • Association

Data Wrangling

  • Derive New Variable

  • Table Joins

  • Min-Max Scaler

  • Sampling

  • Z-Score Computing

  • Set Filters 

  • Binning 

  • Missing Value Analysis 

  • Feature Selection

  • Anomaly Detection

  • Outlier  Detection and Imputation

NLP

  • Sentiment Analyzer

  • Word Cloud

  • Text Classification

  • Extractive Summarization

Statistics

  • Descriptives

  • Parametric Tests

  • Non-Parametric Tests

  • Cross Tabulations

  • Group Descriptives

  • Tests

  • Tests of Normality

  • Regression

  • Clustering 

  • Time Series 

  • Dimensionalities

Data Visualization

  • Scatter Plot

  • ​Line Plot

  • Strip Plot

  • Box Plot

  • Bar Plot

  • Count Plot

  • Pair Plot

  • Joint Plot

  • Violin Plot

  • Heat Map

  • Histogram

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