Class19and20 (#103)

* creating disclaimers when necessary for class 19 and 20 exercises and studios

* finished changes

content/data-visualization/exercises/_index.md

@@ -7,7 +7,14 @@ weight = 2
 
 ## Getting Started
 
-Open up `data-analysis-projects/data-viz-with-python/exercises`. You will be working in the `data-viz-exercises.ipynb`. 
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+{{% /notice %}}
+
+Open up `data-analysis-projects-class-19-and-20/class-19/exercises/`. You will be working in the file `data-viz-exercises.ipynb`.
 
 ## Submitting Your Work
 

content/data-visualization/studio/_index.md

@@ -7,7 +7,14 @@ weight = 3
 
 ## Getting Started
 
-For this week's studio, open up `data-analysis-projects/data-viz-with-py/studio`. We will be using the `data-viz-studio.ipynb` notebook.
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+{{% /notice %}}
+
+Open up `data-analysis-projects-class-19-and-20/class-19/studio/`. You will be working in the file `data-viz-studio.ipynb`.
 
 ## The Data
 

content/python-pandas-databases/exercises/_index.md

@@ -7,7 +7,14 @@ weight = 2
 
 ## Getting Started
 
-Open up `data-analysis-projects/databases-python-pandas/exercises/databases-with-python.ipynb` file inside of Jupyter Notebook and begin working through the exercises!
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+{{% /notice %}}
+
+Open up `data-analysis-projects-class-19-and-20/class-20/exercises/`. You will be working in the file `databases-and-python.ipynb`.
 
 ## Submitting Your Work
 

content/python-pandas-databases/reading/pandas-databases/_index.md

@@ -13,8 +13,13 @@ This lesson will also utilize `sqlite3` as the database used to demonstrate how
 1. Creating a new table inside of the database
  - Adding the DataFrame data into the new table
 
-{{% notice blue Note "rocket" %}}
-The following examples can be found within the `data-analysis-projects/databases-python-pandas/pandas-db-walkthrough.ipynb` file.
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+
+The examples below can be found at `data-analysis-projects-class-19-and-20/class-20/pandas-db-walkthrough.ipynb`
 {{% /notice %}}
 
 ## Create a DataFrame

content/python-pandas-databases/reading/python-databases/_index.md

@@ -12,10 +12,17 @@ Working within a database command line interface can oftentimes make it cumberso
 
 While you can accomplish more than just the above using python and pandas, like performing joins, it is not always best practice. As it relates to joins, database engines are built and optimized to perform joins extremely well. It is always important to know what you will be doing with your data before acting.
 
-{{% notice blue Note "rocket" %}}
-The examples below are also available in the `data-analysis-projects/databases-python-pandas/python-db-walkthrough.ipynb` file.
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+
+The examples below can be found at `data-analysis-projects-class-19-and-20/class-20/python-db-walkthrough.ipynb`
 {{% /notice %}}
 
+
+
 ## sqlite3 with Python
 
 [sqlite3](https://docs.python.org/3/library/sqlite3.html) works in conjunction with python by allowing the user to establish a connection to a file located on your machine. You can then reference the connection variable to begin executing sql commands.

content/python-pandas-databases/studio/_index.md

@@ -7,9 +7,18 @@ weight = 3
 
 ## Getting Started
 
+
+
+{{% notice red Warning "rocket" %}}
+We have created a new repo for Class 19 and 20 exercises and studios. 
+Please fork this repo to your Github account, and then clone it to your local device
+
+[Class 19 and 20 Exercise Studio Repo](https://github.com/LaunchCodeEducation/data-analysis-projects-class-19-and-20)
+{{% /notice %}}
+
 Before getting started with the coding, create a `watchlist` of 10 TV shows/movies that you, personally, are interested in watching.
 
-Open up the `data-analysis-projects/databases-python-pandas/studio/databases-and-py.ipynb` file in Jupyter Notebook.
+Open up `data-analysis-projects-class-19-and-20/class-20/studio/`. You will be working in the file `databases-and-py-studio.ipynb`.
 
 ## In Your Notebook
 

content/tableau-part-4/_index.md

@@ -4,7 +4,7 @@ chapter = true
 title = "Tableau Part 4: Stories and Dates"
 date = 2024-06-04T15:10:04-05:00
 draft = false
-weight = 28
+weight = 27
 hidden = false
 +++
 

content/tableau-part-three/_index.md

@@ -4,7 +4,7 @@ chapter = true
 title = "Tableau Part 3: Calculations, Parameters and Relationships"
 date = 2024-05-28T13:45:19-05:00
 draft = false
-weight = 27
+weight = 26
 hidden = false
 +++