I wrote two different specific questions that use my data, I used the poekmon lab to help A LOT.

I feel confident about what i wrote but I am stuck on the testing portion, everytime i try to test it says i must pick a kernel, but Im not sure what that is or how to do it or what to pick, I would love some assitance on this

argument.ipynb

@@ -13,7 +13,7 @@
    "id": "understanding-numbers",
    "metadata": {},
    "source": [
-    "*✏️ Write 2-3 sentences describing your research.*"
+    "Learn about the different demographics that make swifties similar and different"
    ]
   },
   {
@@ -21,7 +21,7 @@
    "id": "greater-circular",
    "metadata": {},
    "source": [
-    "## Overarching Question: [✏️ PUT YOUR QUESTION HERE ✏️]"
+    "## How similar are Taylor Swift Fans?"
    ]
   },
   {
@@ -29,7 +29,7 @@
    "id": "appreciated-testimony",
    "metadata": {},
    "source": [
-    "*✏️ Write 2-3 sentences explaining why this question.*"
+    "As an advid Taylor Swift fan I want to learn more about the swiftie community"
    ]
   },
   {
@@ -61,10 +61,10 @@
    "source": [
     "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
     "\n",
-    "file_name = \"YOUR_DATASET_FILE_NAME.csv\"\n",
+    "file_name = \"swiftie.csv\"\n",
     "dataset_path = \"data/\" + file_name\n",
     "\n",
-    "df = pd.read_csv(dataset_path)"
+    "swiftie = pd.read_csv(\"swiftie.csv\")"
    ]
   },
   {
@@ -74,7 +74,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.head()"
+    "swiftie.head()"
    ]
   },
   {
@@ -84,7 +84,7 @@
    "source": [
     "**Data Overview**\n",
     "\n",
-    "*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*"
+    "The data I have collected is on whether people are Taylor Swift fans and what their gender is, what their age range is, and what their poltical affiliation is to see if there are any partners or correlations"
    ]
   },
   {
@@ -110,7 +110,7 @@
    "id": "recognized-positive",
    "metadata": {},
    "source": [
-    "## First Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
+    "## First Research Question: What is the percent of democratic people in this survery are Taylor Swift fans?\n"
    ]
   },
   {
@@ -126,12 +126,11 @@
    "id": "endless-variation",
    "metadata": {},
    "source": [
-    "*Explain how you will approach this research question below. Consider the following:* \n",
-    "  - *Which aspects of the dataset will you use?* \n",
-    "  - *How will you reorganize/store the data?* \n",
-    "  - *What data science tools/functions will you use and why?* \n",
-    "  \n",
-    "✏️ *Write your answer below:*\n",
+    "\n",
+    "  - We will be utilizing the poltical stance column and the swiftie column\n",
+    "  - We will create a table with just the democratic survery responders\n",
+    "  - Then we will use the mean fuction on the swiftie colounm to see the percent of democratics are swifties\n",
+    "\n",
     "\n"
    ]
   },
@@ -145,26 +144,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "negative-highlight",
    "metadata": {},
    "outputs": [],
    "source": [
-    "#######################################################################\n",
-    "### 💻 YOUR WORK GOES HERE TO ANSWER THE FIRST RESEARCH QUESTION 💻 \n",
-    "### \n",
-    "### Your data analysis may include a statistic and/or a data visualization\n",
-    "#######################################################################"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "victorian-burning",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
+    "dem = swiftie[swiftie.political_stance == \"dem\"]\n",
+    "dem\n",
+    "dem.Swiftie.mean()"
    ]
   },
   {
@@ -172,7 +159,7 @@
    "id": "collectible-puppy",
    "metadata": {},
    "source": [
-    "## Second Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
+    "## Second Research Question: What is the most common age and gender of Taylor Swift fans?\n"
    ]
   },
   {
@@ -188,12 +175,9 @@
    "id": "incorporate-roller",
    "metadata": {},
    "source": [
-    "*Explain how you will approach this research question below. Consider the following:* \n",
-    "  - *Which aspects of the dataset will you use?* \n",
-    "  - *How will you reorganize/store the data?* \n",
-    "  - *What data science tools/functions will you use and why?* \n",
-    "\n",
-    "✏️ *Write your answer below:*\n"
+    "- we will be utilizing the swiftie colounm, the age column, and the sex colounm\n",
+    "- We will create a table with just the Taylor Swift fans\n",
+    "- Then we will use a bar plot to graph the number of responses from each age group and gender "
    ]
   },
   {
@@ -206,21 +190,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "pursuant-surrey",
    "metadata": {},
    "outputs": [],
    "source": [
-    "#######################################################################\n",
-    "### 💻 YOUR WORK GOES HERE TO ANSWER THE SECOND RESEARCH QUESTION 💻 \n",
-    "###\n",
-    "### Your data analysis may include a statistic and/or a data visualization\n",
-    "#######################################################################"
+    "fan = swiftie[swiftie.Swiftie == \"TRUE\"]\n",
+    "sns.barplot(data=fan, x=\"sex\",y=\"age_range\", errprbar=None)\n",
+    "<Axes: xlabel='Sex', ylabel='count'>"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "located-night",
    "metadata": {},
    "outputs": [],