Merge pull request #1290 from cal-itp/starter_kit

Starter Kit

starter_kit/2024_basics_01.ipynb

@@ -52,7 +52,7 @@
    "source": [
     "## Import Packages\n",
     "* Before doing some data cleaning and analyzing, we need to equip ourselves with the right tools.\n",
-    "* Part of our \"toolbox\" are importing packages. \n",
+    "* Part of our \"toolbox\" packages that you `import` into your notebook.\n",
     "* **Resource**: [Importing Dependencies via Practical Python for Data Science](https://www.practicalpythonfordatascience.com/05_data_exploration.html?highlight=dependencies#importing-our-dependencies)\n",
     "\n",
     "### `Pandas`\n",
@@ -107,7 +107,7 @@
     "    * You can check out all the functions [here](https://github.com/cal-itp/data-infra/tree/main/packages/calitp-data-analysis/calitp_data_analysis).\n",
     "* Below, we are importing only one function called `to_snakecase` from the python submodule `sql` in our package `calitp_data_analysis`. \n",
     "* `to_snakecase` allows us to change the column names of our dataset from something like `Project Description` to `project_description`. \n",
-    "    * Turning the column names to lower case and replacing the spaces with underscores, this makes referencing specific columns much easier."
+    "    * Turning the column names to lower case and replacing the spaces with underscores makes referencing specific columns much easier."
    ]
   },
   {
@@ -131,7 +131,7 @@
     "* Take some time to get used to this interface. \n",
     "    * Press ctrl+enter to run a cell\n",
     "    * Go up to the Kernel and rerun all the cells.\n",
-    "    * Use the scissors at the top to cut out the cell.\n",
+    "    * Use the scissors at the top to delete out the cell.\n",
     "    * Adjust your settings to be dark instead of light.\n",
     "* There are many tutorials available on Youtube, just skip the installation portion. \n",
     "    * [This one looks promising](https://youtu.be/LW2Rye_l8L0?si=B8kojobCe3OIF3xg)."
@@ -474,6 +474,30 @@
     "* Use the function `to_snakecase` to clean up your column names"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e36a71fc-6548-4d3e-98ae-6068606a9f4b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a0e6a7e-94cc-4720-b8de-4e952f707e1d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d390b328-ae12-4760-a0d6-e20532a2c891",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "cd0d51ea-b7da-41d0-bb03-5432b4de1a1b",
@@ -658,7 +682,7 @@
    "outputs": [],
    "source": [
     "\n",
-    "scores_df[[\"project_name\",\"overall_score\"]].to_excel(f\"{GCS_FILE_PATH}{FILE}\")"
+    "df.to_excel(f\"{GCS_FILE_PATH}{FILE}\")"
    ]
   },
   {
@@ -687,7 +711,7 @@
     "    * The `mv` stands for move, and renaming a file is basically \"moving\" its path. \n",
     "    *  If you rename directly with right click, rename, you destroy the git history.\n",
     "    * Doing it this way retains the git history associated with the notebook.\n",
-    "* In the terminal, paste `your_new_notebook.ipynb`. \n",
+    "* In the terminal, paste `git add your_new_notebook.ipynb`. \n",
     "    * This adds your new notebook.\n",
     "    * To add all files with a certain extension, write `git add *ipynb`.\n",
     "* Continuing in the terminal, paste `git commit -m 'write a message here'`\n",

starter_kit/2024_basics_03.ipynb

@@ -567,6 +567,22 @@
     "* Write an if-else and set the various percentiles using variables. "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6a10cf89-0997-465d-a3d9-f1464e6c619f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8121275c-a4fa-44d8-861e-4fd6accba0e4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "d91c41b1-76c4-4673-b16f-ef9990d66270",