documentation updated

.gitignore

@@ -1,3 +1,5 @@
 notebook/.ipynb_checkpoints/*
 notebook/Example MySQL.ipynb
 notebook/Example Postgres.ipynb
+notebook/__pycache__/
+notebook/*

README.md

@@ -19,10 +19,14 @@ Given two connections, a source and target database, it will collect metadata fo
 
 The metadata from the `source` database will be stored in a `metadata` database that it will be accesible for any visualization tool to explore it.
 
-## How To use AutoEda
+## How To use AutoEDADB
+
 * Clone or download the package.
-* Create a connection to a source database and another one to a metadata database.
-* Run `describe_database()` or `describe_table()` functions to get the metadata from the `source` using your connections.
+* Create two connections as described [here](docs/Connections.md) to a source database and to the metadata database.
+    * Source database: This is the DB you want to explore. You don't need any additional information, just a valid connection to the database.
+    * Metadata database: It can be created if not exists. This database will store the information from the source databases.
+* Edit the call of `describe_server(<YOUR_SERVER>)`.
+* Run it with `python explorer.py` 
 
 ## To Do
 - [x] Using samples for large tables.

docs/Connections.md

@@ -0,0 +1,16 @@
+# Connections
+
+Connections are stoder in `string_connections/` folder.
+
+Should be of the type:
+
+## ODBC 
+
+If you have an ODBC created pointed to the database
+
+    DSN=<YOUR_ODBC_NAME>
+
+If you had it installed, you can use it directly from the code creating the following string_connection.
+
+DRIVER={ODBC Driver 13 for SQL Server};SERVER=<FQDN_OF_THE_SERVER>;DATABASE=<YOUR_DATABASE>;UID=<YOUR_USER>;PWD=<YOUR_PASSWORD>
+