Five-factor-e

* Fixed the problem where when the algorithm was executed asynchronously it generated unexpected results;
* Adding more unit tests.

* Revised README files;
* The minimum and maximum value can be adjusted by the user to normalize it;
* The user can adjust the (low, average, high) facet levels;
* Fix (low, average, high) scales;
* Runs on Python10 or higher.

* People over 10 years old can take the test;
* Revised README files;

* Refactoring calculate percent;
* Revised README files;
* Change company logo.

* Refactoring on some code snippets;
* Revised README files;
* Change company name on github.

* Leaving the json format more Pythonic;
* Revised README files.