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https://github.com/miguel5612/MQSensorsLib.git
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Added jpyter graphs
This commit is contained in:
miguel5612
parent
464a447f83
commit
c9e118e310
104
Experiments/.ipynb_checkpoints/Experiment 3-checkpoint.ipynb
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104
Experiments/.ipynb_checkpoints/Experiment 3-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Este experimento fue realizado despues de +48 horas de precalentamiento.\n",
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"## El objetivo fue determinar R0 de forma practica en un espacio con aire limpio.\n",
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"### Por ello fue durante las horas de la noche."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"install xlrd library"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install pandas\n",
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"!pip install xlrd"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import xlrd\n",
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"book = xlrd.open_workbook(\"Experimento 3 - 1 de Junio.xlsx\")\n",
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"sheet = book.sheet_by_name(\"Experimento 3 - 1 de Junio\")"
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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": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1.0 11.00 4.00 50.00 72.00 14.00 4.00 1.00 9.00\n",
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"2.0 11.00 4.00 51.00 72.00 13.00 4.00 1.00 8.00\n",
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"3.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"4.0 10.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"5.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"6.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"7.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"8.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 9.00\n",
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"9.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 9.00\n",
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"10.0 11.00 4.00 52.00 73.00 14.00 4.00 1.00 9.00\n",
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"11.0 11.00 4.00 52.00 73.00 13.00 4.00 1.00 9.00\n",
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"12.0 10.00 4.00 51.00 72.00 13.00 4.00 1.00 9.00\n",
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"13.0 10.00 4.00 50.00 71.00 13.00 4.00 1.00 9.00\n",
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"14.0 10.00 4.00 50.00 70.00 13.00 4.00 1.00 9.00\n",
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"15.0 10.00 4.00 50.00 71.00 13.00 4.00 1.00 9.00\n"
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]
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}
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],
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"source": [
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"for row_index in range(5,20): #reading first columns\n",
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" id, MQ2_R0, MQ3_R0, MQ4_R0, MQ5_R0, MQ6_R0, MQ7_R0, MQ8_R0, MQ9_R0, MQ2_Vm, MQ3_Vm, MQ4_Vm, MQ5_Vm, MQ6_Vm, MQ7_Vm, MQ8_Vm, MQ9_Vm = sheet.row_values(row_index)\n",
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" print(id, MQ2_R0, MQ3_R0, MQ4_R0, MQ5_R0, MQ6_R0, MQ7_R0, MQ8_R0, MQ9_R0)"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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104
Experiments/Experiment 3.ipynb
Normal file
104
Experiments/Experiment 3.ipynb
Normal file
@ -0,0 +1,104 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Este experimento fue realizado despues de +48 horas de precalentamiento.\n",
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"## El objetivo fue determinar R0 de forma practica en un espacio con aire limpio.\n",
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"### Por ello fue durante las horas de la noche."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"install xlrd library"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install pandas\n",
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"!pip install xlrd"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import xlrd\n",
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"book = xlrd.open_workbook(\"Experimento 3 - 1 de Junio.xlsx\")\n",
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"sheet = book.sheet_by_name(\"Experimento 3 - 1 de Junio\")"
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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": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1.0 11.00 4.00 50.00 72.00 14.00 4.00 1.00 9.00\n",
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"2.0 11.00 4.00 51.00 72.00 13.00 4.00 1.00 8.00\n",
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"3.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"4.0 10.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"5.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"6.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"7.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 10.00\n",
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"8.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 9.00\n",
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"9.0 11.00 4.00 51.00 72.00 14.00 4.00 1.00 9.00\n",
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"10.0 11.00 4.00 52.00 73.00 14.00 4.00 1.00 9.00\n",
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"11.0 11.00 4.00 52.00 73.00 13.00 4.00 1.00 9.00\n",
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"12.0 10.00 4.00 51.00 72.00 13.00 4.00 1.00 9.00\n",
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"13.0 10.00 4.00 50.00 71.00 13.00 4.00 1.00 9.00\n",
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"14.0 10.00 4.00 50.00 70.00 13.00 4.00 1.00 9.00\n",
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"15.0 10.00 4.00 50.00 71.00 13.00 4.00 1.00 9.00\n"
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]
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}
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],
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"source": [
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"for row_index in range(5,20): #reading first columns\n",
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" id, MQ2_R0, MQ3_R0, MQ4_R0, MQ5_R0, MQ6_R0, MQ7_R0, MQ8_R0, MQ9_R0, MQ2_Vm, MQ3_Vm, MQ4_Vm, MQ5_Vm, MQ6_Vm, MQ7_Vm, MQ8_Vm, MQ9_Vm = sheet.row_values(row_index)\n",
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" print(id, MQ2_R0, MQ3_R0, MQ4_R0, MQ5_R0, MQ6_R0, MQ7_R0, MQ8_R0, MQ9_R0)"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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BIN
Experiments/Experimento 3 - 1 de Junio.xlsx
Normal file
BIN
Experiments/Experimento 3 - 1 de Junio.xlsx
Normal file
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