Merge pull request #19 from josemoracard/jose1-README

fixed text README

README.es.md

@@ -1,12 +1,12 @@
 <!--hide-->
-# Estadística descriptiva en Python - Guía paso a paso
+# Estadística Descriptiva en Python - Guía paso a paso
 <!--endhide-->
 
 - Resolver los problemas utilizando estadística descriptiva y Python.
 - Después, comprende un dataset nuevo.
 - Utiliza los conocimientos aprendidos para describirlo estadísticamente.
 
-## 🌱  Cómo iniciar este proyecto
+## 🌱 Cómo iniciar este proyecto
 
 Sigue las siguientes instrucciones:
 
@@ -22,4 +22,4 @@ Una vez que hayas terminado de resolver los ejercicios, asegúrate de confirmar
 
 Una vez comiences a trabajar en el proyecto, verás un fichero `./notebook/problems.ipynb` que contiene una serie de ejercicios. Completa cada uno de ellos, uno por uno.
 
-NOTA:También incorporamos un archivo `solutions.ipynb` que te sugerimos honestamente que solo uses si estás atascado durante más de 30 minutos o si ya has terminado y deseas compararlo con tu enfoque.
+> Nota: También incorporamos muestras de solución en `./notebook/solutions.ipynb` que te sugerimos honestamente que solo uses si estás atascado por más de 30 minutos o si ya has terminado y quieres compararlo con tu enfoque.

README.md

@@ -1,12 +1,12 @@
 <!--hide-->
-# Descriptive statistics in Python - Step by step guide
+# Descriptive Statistics in Python - Step by step guide
 <!--endhide-->
 
 - Complete the problems using descriptive statistics and Python.
 - Then, understand a new dataset.
 - Use the knowledge learned to describe it statistically.
 
-## 🌱  How to start this project.
+## 🌱 How to start this project
 
 Follow the instructions below:
 
@@ -16,10 +16,10 @@ Follow the instructions below:
 
 ## 🚛 How to deliver this project
 
-Once you have finished solving the exercises, be sure to commit your changes, push to your repository and go to 4Geeks.com to upload the repository link.
+Once you have finished solving the exercises, be sure to commit your changes, push them to your repository, and go to 4Geeks.com to upload the repository link.
 
 ## 📝 Instructions
 
 Once you start working on the project, you will see a `./notebook/problems.ipynb` file containing a list of exercises. Complete each of them, one by one.
 
-> NOTA: We also incorporated a `solutions.ipynb` file that we strongly suggest you only use if you are stuck for more than 30min or if you have already finished and want to compare it with your approach.
+> Note: We also incorporated a `./notebook/solutions.ipynb` file that we strongly suggest you only use if you are stuck for more than 30 min or if you have already finished and want to compare it with your approach.

learn.json

@@ -13,5 +13,5 @@
 	"duration" : 2,
     "autoPlay": false,
     "projectType": "project",
-	"description" : "Use your numpy, pandas and matplotib skills to practice a little about descriptive statistics"
+	"description" : "Use your NumPy, Pandas and Matplotlib skills to practice a little about descriptive statistics"
 }