Modular electronic data analysis computing system

A method comprising:

• storing a plurality of modular data processing tools, each modular data processing tool configured to perform data processing with predetermined data types and to combine with other modular data processing tools in a data analysis pipeline;
• receiving a user input of one or more user data sources, the one or more user data sources including data of undetermined data types;
• mapping the data of the one or more user data sources to one or more of the predetermined data types;
• determining a data analytic goal for the mapped one or more user data sources;
• selecting one or more modular data processing tools configured to process the one or more predetermined data types mapped to data of the mapped one or more user data sources to generate the data analytic goal;
• generating a data analysis pipeline configured to generate the data analytic goal, the data analysis pipeline including the mapped one or more user data sources and the one or more modular data processing tools;
• and
• processing the mapped one or more user data sources with the data analysis pipeline to generate the data analytic goal.

A client computing device comprising:

• a processor;
• and
• a client electronic data analysis platform program executed by the processor, the client electronic data analysis platform program configured to:
• receive a user input of one or more user data sources, the one or more user data sources including data of undetermined data types;
• send the one or more user data sources to a server device;
• receive, from the server device, mapped one or more user data sources including data mapped to one or more predetermined data types;
• determine a data analytic goal for the mapped one or more user data sources;
• send the data analytic goal to the server device;
• receive, from the server device, one or more modular data processing tools configured to process the one or more predetermined data types mapped to data of the mapped one or more user data sources to generate the data analytic goal, each modular data processing tool configured to perform data processing with the predetermined data types and to combine with other modular data processing tools in a data analysis pipeline;
• present, to a user of the client computing device, a data analysis pipeline configured to generate the data analytic goal, the data analysis pipeline including the mapped one or more user data sources and the one or more modular data processing tools;
• and
• process the mapped one or more user data sources with the data analysis pipeline to generate the data analytic goal.