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1010data Reference Manual and SDKs

website·Indexed 35 days ago

https://docs.1010data.com/1010dataReferenceManual/

Technical documentation for the 1010data Insights Platform, including the py1010 Python SDK, .NET SDK, and a comprehensive reference manual covering ML operations, graphics widget elements (such as <geograph>, <chart>, and <axes>), group functions, and platform glossary.

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What's inside 1010data

  1. Overview of tenFrame for 1010data

    tenFrame is a Python package built on top of the 1010data Python SDK (py1010). It provides a pandas-like framework for querying and analyzing very large datasets (millions or billions of rows) hosted on 1010data servers. Unlike pandas, which handles data in local memory, tenFrame acts as a wrapper around 1010data queries, allowing developers to perform data analysis without needing to master the 1010data query language (Macro Language).

  2. Overview of the 1010data Tableau Connector

    The 1010data Tableau Connector enables users to access 1010data tables and Quick Queries directly within Tableau. It supports live data connections, allowing for seamless integration and visualization of 1010data tables.

  3. Overview of 1010data Macro Language and Functions

    The 1010data Insights Platform utilizes a Macro Language and a library of functions to perform data operations. This language is used primarily for writing selection expressions (for advanced row selection or row finds) and value expressions (for creating computed columns).

  4. Overview of the Bank Marketing Data Set

    The Bank Marketing Data Set contains information from a direct marketing campaign by a Portuguese banking institution aimed at getting clients to subscribe to a term deposit. The dataset consists of 41,188 rows and 21 columns. It includes 20 input variables (including 10 categorical columns) providing client demographics (age, marital status, education) and campaign contact details (month, day of week, and days since previous contact), as well as one output target variable.

  5. Overview of tenFrame for 1010data

    tenFrame is a pandas-like Python library developed by 1010data. It is designed to allow developers to query 1010data tables using a syntax and operational model similar to the pandas library, facilitating data analysis and basic operations on 1010data datasets.

  7. Overview of 1010data Trillion-Row Spreadsheet

    The 1010data Trillion-Row Spreadsheet is a graphical user interface (GUI) designed for visual interaction with massive datasets, allowing users to perform analysis and data exploration through a spreadsheet-like interface.

  9. Overview of the 1010data Dynamic API

    The 1010data Dynamic Application Programming Interface (API) enables the development of client applications capable of accessing and querying data hosted on Insights Platform database servers. The API supports both built-in endpoints and user-defined endpoints created via QuickApps.

  10. Overview of 1010data Macro Language Elements

    The 1010data Macro Language consists of three primary categories of elements used to build data analysis workflows:

    1. Basic Operations: The core set of operations used for data manipulation, including Select, Link, Tabulate, Compute Columns, Merge, and Sort.
    2. Parameterized Subroutines: Elements such as <block> and its affiliated components used to create reusable, parameterized logic.
    3. QuickApps Extension: A language extension specifically designed for rapid GUI development within the platform.

  11. Overview of the Istanbul Stock Exchange (ISE) Data Set

    The Istanbul Stock Exchange (ISE) data set contains stock market returns for the ISE and seven international indices (S&P 500, DAX, FTSE, Nikkei, Bovespa, MSCI Europe, and MSCI Emerging Markets) from June 5, 2009, to February 22, 2011. The data set consists of 536 rows and 10 columns. It is available via the UC Irvine Machine Learning Repository (file: data_akbilgic.xlsx) and is referenced by the path pub.demo.mleg.uci.istanbul.

  12. Overview of 1010data QuickApp Framework

    The QuickApp framework allows developers to build custom front-end interfaces on top of the 1010data analytics engine. A QuickApp is composed of one or more widgets wrapped in a <dynamic> tag. Widgets are used to visually represent blocks of Macro Language code, and their state and data updates are managed by the dynamic environment.