Automated production of data-driven reports with descriptive and rich text and graphical contents

1. A computer-implemented method for automatically producing data driven reports with descriptive texts and graphical contents comprising:

receiving a request with data input to generate a report for an audience;

identifying a configuration file for the report, said configuration file defining a number of infographics parameters of the report, said infographics parameters comprising: layout of the report, characteristics of the audience of the report, an amount of graphical elements of the report, tenses of the descriptive texts, a format of the descriptive texts in the report, and font settings of the report;

receiving instructions from a user to customize the configuration file;

in response to the received instructions, dynamically generating a map including keys and values in response to a request for generating descriptive texts;

populating a pre-determined request templates with the generated mapped keys and values;

selecting vocabularies from a domain dictionary stored in a data store;

dynamically generating sentences based on the configuration file;

dynamically determining factors of the graphical contents based on the configuration file, wherein the various factors comprise at least: an amount of the graphical contents as a function of the generated sentences, a location of the graphical contents, and a type of the graphical contents;

generating a representation of the graphical contents as a function of the determined factors; and

combining the sentences and the graphical contents as a function of the parameters of the configuration file to generate a report, wherein the report resembles a human-generated natural language narratives for the audience.

2. The computer-implemented method of claim 1 , wherein the human-generated natural language narratives resembles a story.

3. The computer-implemented method of claim 1 , wherein the graphical contents comprise a chart or a graph.

4. The computer-implemented method of claim 1 , wherein generating the representation of the graphical contents comprises generating a chart as a function of the determined factors.

5. The computer-implemented method of claim 4 , further comprising dynamically determining a chart type from a data visualization medium or component, wherein the data visualization medium or component comprising one or more of the following: callout, tiny spline, column chart, line chart, or labelled donut.

6. The computer-implemented method of claim 1 , wherein the data input comprises numerical data in a spreadsheet.

7. A non-transitory computer readable medium having stored there computer-executable instructions generated via machine learning algorithms executing a computer-implemented method for automatically producing data driven reports with descriptive texts and graphical contents, said computer-executable instructions comprising:

receiving a request with data input to generate a report for an audience;

identifying a configuration file for the report, said configuration file defining a number of infographics parameters of the report, said infographics parameters comprising: layout of the report, characteristics of the audience of the report, amount of graphical elements of the report, tenses of the descriptive texts, a format of the descriptive texts in the report, and font settings of the report;

receiving instructions from a user to customize the configuration file;

in response to the received instructions, dynamically generating a map including keys and values in response to a request for generating descriptive texts;

populating a pre-determined request templates with the generated mapped keys and values;

selecting vocabularies from a domain dictionary stored in a data store;

dynamically generating sentences based on the configuration file;

dynamically determining factors of the graphical contents based on the configuration file, wherein the various factors comprise at least: an amount of the graphical contents as a function of the generated sentences, a location of the graphical contents, and a type of the graphical contents;

generating a representation of the graphical contents as a function of the determined factors; and

in response to the machine learning algorithms, combining the sentences and the graphical contents as a function of the parameters of the configuration file to generate a report resembling a human-generated natural language narratives for the audience, wherein the descriptive texts and the graphical contents are presented as a function of the audience.

8. The non-transitory computer readable medium of claim 7 , wherein the graphical contents comprise a chart or a graph.

9. The non-transitory computer readable medium of claim 7 , wherein generating the representation of the graphical contents comprises generating a chart as a function of the determined factors.

10. The non-transitory computer readable medium of claim 9 , further comprising dynamically determining a chart type from a data visualization medium or component, wherein the data visualization medium or component comprising one or more of the following: callout, tiny spline, column chart, line chart, or labelled donut.

11. The non-transitory computer readable medium of claim 7 , wherein the human-generated natural language narratives resembles a story.

12. The non-transitory computer readable medium of claim 7 , wherein the data input comprises numerical data in a spreadsheet.

13. A computer-implemented system for automatically producing data driven reports with descriptive texts and graphical contents comprising:

a processor configured to execute computer-executable instructions for:

receiving a request with data input to generate a report for an audience;

identifying a configuration file for the report, said configuration file defining a number of infographics parameters of the report, said infographics parameters comprising: layout of the report, characteristics of the audience of the report, graphical elements of the report, tenses of the descriptive texts, a format of the descriptive texts in the report, and font settings of the report, wherein the configuration file is customizable by the audience;

in response to the received instructions, dynamically generating a map including keys and values in response to a request for generating descriptive texts;

populating a pre-determined request templates with the generated mapped keys and values;

selecting vocabularies from a domain dictionary stored in a data store;

dynamically generating sentences based on the configuration file;

dynamically determining factors of the graphical contents based on the configuration file, wherein the factors comprise at least: an amount of the graphical contents as a function of the generated sentences, a location of the graphical contents, and a type of the graphical contents;

generating a representation of the graphical contents as a function of the determined factors; and

combining the sentences and the graphical contents as a function of the parameters of the configuration file to generate a report, wherein the report resembles a human-generated natural language narratives for the audience.

14. The computer-implemented system of claim 13 , wherein the human-generated natural language narratives resembles a story.

15. The computer-implemented system of claim 13 , wherein the graphical contents comprise a chart or a graph.

16. The computer-implemented system of claim 13 , wherein generating the representation of the graphical contents comprises generating a chart as a function of the determined factors.

17. The computer-implemented system of claim 16 , further comprising dynamically determining a chart type from a data visualization medium or component, wherein the data visualization medium or component comprising one or more of the following: callout, tiny spline, column chart, line chart, or labelled donut.

18. The computer-implemented system of claim 13 , wherein the data input comprises numerical data in a spreadsheet.