generated from mwc/project_argument
I currently finished making a chart of my data.
So far I'm doing great however, I am worried about not doing the chart correctly. I already had a gard time creating the first one from the data section.
This commit is contained in:
juddin2
186
argument.ipynb
186
argument.ipynb
@@ -5,7 +5,7 @@
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"id": "worldwide-blood",
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"metadata": {},
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"source": [
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"# Introduction"
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"# Impact of Technological apps on Education?"
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]
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},
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{
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@@ -13,7 +13,7 @@
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"id": "understanding-numbers",
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"metadata": {},
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"source": [
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"*✏️ Write 2-3 sentences describing your research.*"
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"*✏️ This research looks at whether using educational apps like Pear Deck helps students learn better and stay more engaged. It compares test scores and survey results from students who used Pear Deck with those who had regular lessons. The goal is to see if learning with technology improves student performance and interest.*"
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]
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},
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{
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@@ -21,7 +21,7 @@
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"id": "greater-circular",
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"metadata": {},
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"source": [
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"## Overarching Question: [✏️ PUT YOUR QUESTION HERE ✏️]"
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"## Overarching Question: Do Educational apps like pear deck improve student learning outcomes?"
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]
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},
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{
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@@ -29,7 +29,7 @@
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"id": "appreciated-testimony",
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"metadata": {},
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"source": [
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"*✏️ Write 2-3 sentences explaining why this question.*"
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"*✏️I am interested in exploring the question: “Do educational apps like Pear Deck improve student learning outcomes?” I chose this question because educational technology is becoming increasingly common in classrooms, and I have observed its use firsthand during my placement in a 3rd-grade classroom. My students regularly use ELA apps such as Pear Assessment and math apps like Pear Deck to complete their classwork. I am curious about whether regular use of educational apps impacts student performance. Investigating this question can reveal patterns in how technology influences learning and provide evidence-based recommendations for teachers.*"
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]
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},
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{
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@@ -42,8 +42,8 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "technical-evans",
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"execution_count": 2,
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"id": "c4330642-cdf6-447a-af17-94afb4261a30",
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -54,27 +54,167 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 9,
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"id": "overhead-sigma",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Student</th>\n",
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" <th>Traditional_Studying</th>\n",
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" <th>Pear_Deck_Studying</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>10</td>\n",
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" <td>14.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2</td>\n",
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" <td>10</td>\n",
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" <td>8.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>3</td>\n",
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" <td>10</td>\n",
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" <td>10.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4</td>\n",
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" <td>10</td>\n",
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" <td>15.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5</td>\n",
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" <td>10</td>\n",
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" <td>14.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>6</td>\n",
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" <td>10</td>\n",
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" <td>9.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>7</td>\n",
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" <td>10</td>\n",
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" <td>13.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>8</td>\n",
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" <td>10</td>\n",
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" <td>15.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>9</td>\n",
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" <td>10</td>\n",
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" <td>9.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>10</td>\n",
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" <td>10</td>\n",
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" <td>15.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td>11</td>\n",
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" <td>10</td>\n",
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" <td>15.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td>12</td>\n",
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" <td>10</td>\n",
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" <td>15.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>12</th>\n",
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" <td>13</td>\n",
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" <td>10</td>\n",
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" <td>14.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>13</th>\n",
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" <td>14</td>\n",
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" <td>10</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>14</th>\n",
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" <td>15</td>\n",
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" <td>10</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Student Traditional_Studying Pear_Deck_Studying\n",
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"0 1 10 14.0\n",
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"1 2 10 8.0\n",
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"2 3 10 10.0\n",
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"3 4 10 15.0\n",
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"4 5 10 14.0\n",
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"5 6 10 9.0\n",
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"6 7 10 13.0\n",
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"7 8 10 15.0\n",
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"8 9 10 9.0\n",
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"9 10 10 15.0\n",
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"10 11 10 15.0\n",
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"11 12 10 15.0\n",
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"12 13 10 14.0\n",
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"13 14 10 NaN\n",
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"14 15 10 NaN"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"data = {\n",
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" \"Student\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],\n",
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" \"Traditional_Studying\": [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10],\n",
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" \"Pear_Deck_Studying\": [14, 8, 10, 15, 14, 9, 13, 15, 9, 15, 15, 15, 14, None, None]\n",
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"}\n",
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"\n",
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"file_name = \"YOUR_DATASET_FILE_NAME.csv\"\n",
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"dataset_path = \"data/\" + file_name\n",
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"\n",
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"df = pd.read_csv(dataset_path)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "heated-blade",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.head()"
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"df = pd.DataFrame(data)\n",
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"df"
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]
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},
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{
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@@ -310,7 +450,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.12.3"
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},
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"toc": {
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"base_numbering": 1,
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