DSC Features
Unleash Data Power with DSC Features: Elevate Your Data Analysis Game!
Data Profiling and Analysis:
DSC offers the PROFILE and ANALYSIS commands that allow data scientists to gain comprehensive insights into dataset characteristics, distributions, and patterns. This aids in preliminary data assessment and guides subsequent analysis.
Data Transformation
Transforming data becomes a breeze with DSC's transformation commands. Commands like ADD COLUMN, DROP COLUMNS, and SELECT COLUMNS facilitate easy data shaping and preparation for downstream analysis.
Advanced Sorting and Filtering
The ORDER BY and WHERE commands enable data scientists to sort data and apply filters efficiently, streamlining the process of identifying relevant information.
Aggregation and Summarization
DSC provides powerful aggregation capabilities through commands like GROUP BY and SUMMARY, allowing data scientists to summarize and analyze data at different levels.
Statistical Enrichment
DSC introduces commands like ADD STAT COLUMN, ADD PERCENTILE COLUMN, and ADD RANK COLUMN that empower users to enrich datasets with statistical measures, percentiles, and ranking information.
Data Quality Inspection
The DISPLAY DETAILS and DISPLAY MISSING VALUES commands aid in identifying data quality issues, ensuring that data scientists can address missing or erroneous values effectively.
Advanced Analytics
DSC does not stop at basic analysis. It offers CORRELATION MATRIX and CORRELATION AMONG COLUMNS commands for assessing relationships within the dataset, aiding in decision-making based on insights.
Supervised Machine Learning
DSC's commands provide a structured way to perform classification and regression, create ensemble models for improved accuracy, select the best models based on performance metrics, and make predictions on new data.
Visualization and Reporting
DSC's GENERATE GRAPH command enables users to create visual representations of data, enhancing understanding and communication of insights.
Feature Engineering
Extracting meaningful features from date and datetime columns is made effortless with commands like EXTRACT FEATURES FROM DATE and EXTRACT FEATURES FROM DATETIME.
Advanced Techniques
DSC covers advanced techniques like CLUSTER, ASSOCIATION RULES, and COMPUTE ANOMALY, enabling users to delve into unsupervised machine learning and uncover hidden patterns.
Effortless Data Exploration
The DSC language facilitates seamless data exploration by providing commands like OPEN and OPENX, allowing data scientists to swiftly access and load datasets. The SQL command empowers users to query and manipulate data efficiently, streamlining the process of extracting meaningful insights.