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Organized the project structure #11

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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@
"metadata": {},
"outputs": [],
"source": [
"path_to_excel_file = 'Athletes.xlsx'"
"path_to_excel_file = 'datasets\\Athletes.xlsx'"
]
},
{
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@
"metadata": {},
"outputs": [],
"source": [
"path_to_excel_file = '/home/arrow/2021-Olympics-Data-Analysis/EntriesGender.xlsx'"
"path_to_excel_file = 'datasets\\EntriesGender.xlsx'"
]
},
{
Expand Down
Original file line number Diff line number Diff line change
@@ -1,22 +1,8 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "teams-analysis.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
Expand All @@ -25,18 +11,8 @@
"id": "YJRn0xaKSOFU",
"outputId": "f178d551-8174-49fa-8c9a-10c9e320fb1c"
},
"source": [
"import pandas as pd\n",
"\n",
"file =\"Medals.xlsx\"\n",
"df = pd.read_excel(file)\n",
"\n",
"df.head(5)\n"
],
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
Expand Down Expand Up @@ -130,10 +106,34 @@
"4 5 ROC 20 28 23 71 3"
]
},
"execution_count": 7,
"metadata": {},
"execution_count": 7
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"file =\"datasets\\Medals.xlsx\"\n",
"df = pd.read_excel(file)\n",
"\n",
"df.head(5)\n"
]
}
]
}
],
"metadata": {
"colab": {
"name": "teams-analysis.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
56 changes: 28 additions & 28 deletions team-analysis.ipynb → Jupyter notebook files/team-analysis.ipynb
Original file line number Diff line number Diff line change
@@ -1,22 +1,8 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "teams-analysis.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
Expand All @@ -25,18 +11,8 @@
"id": "YJRn0xaKSOFU",
"outputId": "4bf73bd4-3ae2-486a-c6df-fc799d76d03f"
},
"source": [
"import pandas as pd\n",
"\n",
"file =\"Teams.xlsx\"\n",
"df = pd.read_excel(file)\n",
"\n",
"df.head(5)\n"
],
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
Expand Down Expand Up @@ -112,10 +88,34 @@
"4 Italy 3x3 Basketball Italy Women"
]
},
"execution_count": 8,
"metadata": {},
"execution_count": 8
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"file =\"datasets\\Teams.xlsx\"\n",
"df = pd.read_excel(file)\n",
"\n",
"df.head(5)\n"
]
}
]
}
],
"metadata": {
"colab": {
"name": "teams-analysis.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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