Merge pull request #78 from gperdrizet/dev

Cleanup

Author: gperdrizet

.github/workflows/jekyll-gh-pages.yml

@@ -38,6 +38,8 @@ jobs:
         run: cp -r ./notebooks/* ./docs/assets/notebooks/
       - name: Move notebook config file into build directory
         run: cp -r ./notebooks/notebooks.yml ./docs/_data/
+      - name: Move resources page into build directory
+        run: cp ./resources.md ./docs/
       - name: Build with Jekyll
         uses: actions/jekyll-build-pages@v1
         with:

docs/assets/data/NSMES1988-NSMES1988.csv data/unit2/NSMES1988-NSMES1988.csvdocs/assets/data/NSMES1988-NSMES1988.csv renamed to data/unit2/NSMES1988-NSMES1988.csv

@@ -4,4 +4,5 @@ _site
 .jekyll-metadata
 Gemfile.lock
 vendor
-notebooks
+notebooks
+resources.md

data/unit2/housing_data.csv

@@ -5,15 +5,15 @@
    "id": "764436ef",
    "metadata": {},
    "source": [
-    "# Lesson 10 Activity Solution: Working with Pandas"
+    "# Lesson 10 activity solution: working with Pandas"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "61077fda",
    "metadata": {},
    "source": [
-    "## Learning Objectives\n",
+    "## Learning objectives\n",
     "\n",
     "By the end of this activity, you will be able to:\n",
     "- Create Pandas Series and DataFrames\n",
@@ -57,7 +57,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Problem 1: Creating Your First DataFrame\n",
+    "## Problem 1: creating your first DataFrame\n",
     "\n",
     "**Scenario:** You're working at a bookstore and need to create a simple inventory system.\n",
     "\n",
@@ -244,7 +244,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Problem 2: Loading and Exploring Student Data\n",
+    "## Problem 2: loading and exploring data\n",
     "\n",
     "**Scenario:** You're a teacher analyzing student performance data.\n",
     "\n",
@@ -255,12 +255,12 @@
     "4. Show descriptive statistics for numerical columns using `.describe()`\n",
     "5. Find the average grade of all students\n",
     "\n",
-    "Students data file avalible for download here: [students.csv](https://gperdrizet.github.io/FSA_devops/assets/notebooks/unit2/students.csv)"
+    "Students data file avalible for download here: [students.csv](https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/students.csv)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "5c564957",
    "metadata": {},
    "outputs": [
@@ -274,7 +274,8 @@
    ],
    "source": [
     "# Step 1: Load the CSV file\n",
-    "students_df = pd.read_csv('students.csv')\n",
+    "url = 'https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/students.csv'\n",
+    "students_df = pd.read_csv(url)\n",
     "print('Students data loaded successfully!')"
    ]
   },
@@ -584,7 +585,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Problem 3: Data Filtering and Selection\n",
+    "## Problem 3: data filtering and selection\n",
     "\n",
     "**Scenario:** Continue working with the student data to find specific information.\n",
     "\n",
@@ -971,7 +972,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Problem 4: Sales Data Analysis\n",
+    "## Problem 4: sales data analysis\n",
     "\n",
     "**Scenario:** You're analyzing sales data for an electronics store.\n",
     "\n",
@@ -982,12 +983,12 @@
     "4. Find the product with the highest total value\n",
     "5. Calculate the grand total of all sales\n",
     "\n",
-    "Sales data file avalible for download here: [sales.csv](https://gperdrizet.github.io/FSA_devops/assets/notebooks/unit2/sales.csv)"
+    "Sales data file avalible for download here: [sales.csv](https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/sales.csv)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "9d90ac54",
    "metadata": {},
    "outputs": [
@@ -1081,7 +1082,8 @@
    ],
    "source": [
     "# Step 1: Load the sales data\n",
-    "sales_df = pd.read_csv('sales.csv')\n",
+    "url = 'https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/sales.csv'\n",
+    "sales_df = pd.read_csv(url)\n",
     "print('Sales data loaded:')\n",
     "sales_df"
    ]
@@ -1321,7 +1323,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Problem 5: Series Creation and Manipulation\n",
+    "## Problem 5: series creation and manipulation\n",
     "\n",
     "**Scenario:** Create and work with Pandas Series for daily temperature data.\n",
     "\n",
@@ -1484,7 +1486,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "## Reflection Questions\n",
+    "## Reflection questions\n",
     "\n",
     "**1. What is the difference between a Pandas Series and a DataFrame?**\n",
     "\n",
@@ -1517,7 +1519,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1531,7 +1533,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,

notebooks/unit2/lesson_10/sales.csv data/unit2/sales.csvnotebooks/unit2/lesson_10/sales.csv renamed to data/unit2/sales.csv

@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "3d78949f",
    "metadata": {},
    "outputs": [
@@ -247,7 +247,8 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('housing_data.csv')\n",
+    "url = 'https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/housing_data.csv'\n",
+    "df = pd.read_csv(url)\n",
     "df.head()"
    ]
   },

notebooks/unit2/lesson_10/students.csv data/unit2/students.csvnotebooks/unit2/lesson_10/students.csv renamed to data/unit2/students.csv

@@ -368,7 +368,8 @@
    ],
    "source": [
     "# Load the CSV file into a DataFrame\n",
-    "df = pd.read_csv('NSMES1988-NSMES1988.csv')\n",
+    "url = 'https://raw.githubusercontent.com/gperdrizet/FSA_devops/refs/heads/main/data/unit2/NSMES1988-NSMES1988.csv'\n",
+    "df = pd.read_csv(url)\n",
     "# Display the DataFrame\n",
     "df"
    ]