diff --git a/module2/exo4/exercice.ipynb b/module2/exo4/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..8969b64d3af53500f2a38107fef08dbf4163f3da 100644 --- a/module2/exo4/exercice.ipynb +++ b/module2/exo4/exercice.ipynb @@ -1,5 +1,1624 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os\n", + "import urllib.request\n", + "import zipfile" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Chargement des données" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"https://www.stats.govt.nz/assets/Uploads/Business-financial-data/Business-financial-data-December-2024-quarter/Download-data/business-financial-data-december-2024-quarter.zip\"" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "local_filename = \"financial-data.zip\"" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Téléchargement du fichier\n" + ] + } + ], + "source": [ + " if not os.path.exists(local_filename):\n", + " print(\"Téléchargement du fichier\")\n", + " urllib.request.urlretrieve(data_url, local_filename)\n", + "else:\n", + " print(\"Fichier déjà présent localement.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "with zipfile.ZipFile(local_filename, 'r') as zip_ref:\n", + " zip_ref.extractall(\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Récupération des différentes statistiques du tableau avec les fonctions de base de numpy" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "csv_name = \"business-financial-data-december-2024-quarter-csv.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv(csv_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Series_referencePeriodData_valueSuppressedSTATUSUNITSMagnitudeSubjectGroupSeries_title_1Series_title_2Series_title_3Series_title_4Series_title_5
0BDCQ.SF1AA2CA2016.061116.386NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
1BDCQ.SF1AA2CA2016.091070.874NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
2BDCQ.SF1AA2CA2016.121054.408NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
3BDCQ.SF1AA2CA2017.031010.665NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
4BDCQ.SF1AA2CA2017.061233.700NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
5BDCQ.SF1AA2CA2017.091282.436NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
6BDCQ.SF1AA2CA2017.121290.820NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
7BDCQ.SF1AA2CA2018.031412.007NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
8BDCQ.SF1AA2CA2018.061488.055NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
9BDCQ.SF1AA2CA2018.091497.678NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
10BDCQ.SF1AA2CA2018.121570.507NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
11BDCQ.SF1AA2CA2019.031393.749NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
12BDCQ.SF1AA2CA2019.061517.143NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
13BDCQ.SF1AA2CA2019.091381.514NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
14BDCQ.SF1AA2CA2019.121370.985NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
15BDCQ.SF1AA2CA2020.031073.017NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
16BDCQ.SF1AA2CA2020.061131.445NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
17BDCQ.SF1AA2CA2020.091440.101NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
18BDCQ.SF1AA2CA2020.121489.979NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
19BDCQ.SF1AA2CA2021.031390.782NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
20BDCQ.SF1AA2CA2021.061826.730NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
21BDCQ.SF1AA2CA2021.091710.073NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
22BDCQ.SF1AA2CA2021.121559.479NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
23BDCQ.SF1AA2CA2022.031285.083NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
24BDCQ.SF1AA2CA2022.061684.422NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
25BDCQ.SF1AA2CA2022.091665.926NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
26BDCQ.SF1AA2CA2022.121501.095NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
27BDCQ.SF1AA2CA2023.031209.443NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
28BDCQ.SF1AA2CA2023.061424.748NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
29BDCQ.SF1AA2CA2023.091414.896NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 2)Sales (operating income)Forestry and LoggingCurrent pricesUnadjustedNaN
.............................................
8325BDCQ.SF8RSCA2017.09488.836NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8326BDCQ.SF8RSCA2017.12534.987NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8327BDCQ.SF8RSCA2018.03529.849NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8328BDCQ.SF8RSCA2018.06478.238NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8329BDCQ.SF8RSCA2018.09600.516NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8330BDCQ.SF8RSCA2018.12477.741NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8331BDCQ.SF8RSCA2019.03610.939NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8332BDCQ.SF8RSCA2019.06541.900NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8333BDCQ.SF8RSCA2019.09614.284NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8334BDCQ.SF8RSCA2019.12494.417NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8335BDCQ.SF8RSCA2020.03567.985NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8336BDCQ.SF8RSCA2020.06133.586NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8337BDCQ.SF8RSCA2020.09470.454NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8338BDCQ.SF8RSCA2020.12522.330NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8339BDCQ.SF8RSCA2021.03597.997NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8340BDCQ.SF8RSCA2021.06635.931NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8341BDCQ.SF8RSCA2021.09382.195NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8342BDCQ.SF8RSCA2021.12397.184NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8343BDCQ.SF8RSCA2022.03493.945NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8344BDCQ.SF8RSCA2022.06579.955NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8345BDCQ.SF8RSCA2022.09609.161NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8346BDCQ.SF8RSCA2022.12518.615NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8347BDCQ.SF8RSCA2023.03663.630NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8348BDCQ.SF8RSCA2023.06617.507NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8349BDCQ.SF8RSCA2023.09673.068NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8350BDCQ.SF8RSCA2023.12511.098NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8351BDCQ.SF8RSCA2024.03631.229NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8352BDCQ.SF8RSCA2024.06542.409NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8353BDCQ.SF8RSCA2024.09612.190NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
8354BDCQ.SF8RSCA2024.12643.976NaNFDollars6Business Data Collection - BDCIndustry by financial variable (NZSIOC Level 1)Operating profitArts, Recreation and Other ServicesCurrentUnadjustedNaN
\n", + "

8355 rows × 14 columns

\n", + "
" + ], + "text/plain": [ + " Series_reference Period Data_value Suppressed STATUS UNITS \\\n", + "0 BDCQ.SF1AA2CA 2016.06 1116.386 NaN F Dollars \n", + "1 BDCQ.SF1AA2CA 2016.09 1070.874 NaN F Dollars \n", + "2 BDCQ.SF1AA2CA 2016.12 1054.408 NaN F Dollars \n", + "3 BDCQ.SF1AA2CA 2017.03 1010.665 NaN F Dollars \n", + "4 BDCQ.SF1AA2CA 2017.06 1233.700 NaN F Dollars \n", + "5 BDCQ.SF1AA2CA 2017.09 1282.436 NaN F Dollars \n", + "6 BDCQ.SF1AA2CA 2017.12 1290.820 NaN F Dollars \n", + "7 BDCQ.SF1AA2CA 2018.03 1412.007 NaN F Dollars \n", + "8 BDCQ.SF1AA2CA 2018.06 1488.055 NaN F Dollars \n", + "9 BDCQ.SF1AA2CA 2018.09 1497.678 NaN F Dollars \n", + "10 BDCQ.SF1AA2CA 2018.12 1570.507 NaN F Dollars \n", + "11 BDCQ.SF1AA2CA 2019.03 1393.749 NaN F Dollars \n", + "12 BDCQ.SF1AA2CA 2019.06 1517.143 NaN F Dollars \n", + "13 BDCQ.SF1AA2CA 2019.09 1381.514 NaN F Dollars \n", + "14 BDCQ.SF1AA2CA 2019.12 1370.985 NaN F Dollars \n", + "15 BDCQ.SF1AA2CA 2020.03 1073.017 NaN F Dollars \n", + "16 BDCQ.SF1AA2CA 2020.06 1131.445 NaN F Dollars \n", + "17 BDCQ.SF1AA2CA 2020.09 1440.101 NaN F Dollars \n", + "18 BDCQ.SF1AA2CA 2020.12 1489.979 NaN F Dollars \n", + "19 BDCQ.SF1AA2CA 2021.03 1390.782 NaN F Dollars \n", + "20 BDCQ.SF1AA2CA 2021.06 1826.730 NaN F Dollars \n", + "21 BDCQ.SF1AA2CA 2021.09 1710.073 NaN F Dollars \n", + "22 BDCQ.SF1AA2CA 2021.12 1559.479 NaN F Dollars \n", + "23 BDCQ.SF1AA2CA 2022.03 1285.083 NaN F Dollars \n", + "24 BDCQ.SF1AA2CA 2022.06 1684.422 NaN F Dollars \n", + "25 BDCQ.SF1AA2CA 2022.09 1665.926 NaN F Dollars \n", + "26 BDCQ.SF1AA2CA 2022.12 1501.095 NaN F Dollars \n", + "27 BDCQ.SF1AA2CA 2023.03 1209.443 NaN F Dollars \n", + "28 BDCQ.SF1AA2CA 2023.06 1424.748 NaN F Dollars \n", + "29 BDCQ.SF1AA2CA 2023.09 1414.896 NaN F Dollars \n", + "... ... ... ... ... ... ... \n", + "8325 BDCQ.SF8RSCA 2017.09 488.836 NaN F Dollars \n", + "8326 BDCQ.SF8RSCA 2017.12 534.987 NaN F Dollars \n", + "8327 BDCQ.SF8RSCA 2018.03 529.849 NaN F Dollars \n", + "8328 BDCQ.SF8RSCA 2018.06 478.238 NaN F Dollars \n", + "8329 BDCQ.SF8RSCA 2018.09 600.516 NaN F Dollars \n", + "8330 BDCQ.SF8RSCA 2018.12 477.741 NaN F Dollars \n", + "8331 BDCQ.SF8RSCA 2019.03 610.939 NaN F Dollars \n", + "8332 BDCQ.SF8RSCA 2019.06 541.900 NaN F Dollars \n", + "8333 BDCQ.SF8RSCA 2019.09 614.284 NaN F Dollars \n", + "8334 BDCQ.SF8RSCA 2019.12 494.417 NaN F Dollars \n", + "8335 BDCQ.SF8RSCA 2020.03 567.985 NaN F Dollars \n", + "8336 BDCQ.SF8RSCA 2020.06 133.586 NaN F Dollars \n", + "8337 BDCQ.SF8RSCA 2020.09 470.454 NaN F Dollars \n", + "8338 BDCQ.SF8RSCA 2020.12 522.330 NaN F Dollars \n", + "8339 BDCQ.SF8RSCA 2021.03 597.997 NaN F Dollars \n", + "8340 BDCQ.SF8RSCA 2021.06 635.931 NaN F Dollars \n", + "8341 BDCQ.SF8RSCA 2021.09 382.195 NaN F Dollars \n", + "8342 BDCQ.SF8RSCA 2021.12 397.184 NaN F Dollars \n", + "8343 BDCQ.SF8RSCA 2022.03 493.945 NaN F Dollars \n", + "8344 BDCQ.SF8RSCA 2022.06 579.955 NaN F Dollars \n", + "8345 BDCQ.SF8RSCA 2022.09 609.161 NaN F Dollars \n", + "8346 BDCQ.SF8RSCA 2022.12 518.615 NaN F Dollars \n", + "8347 BDCQ.SF8RSCA 2023.03 663.630 NaN F Dollars \n", + "8348 BDCQ.SF8RSCA 2023.06 617.507 NaN F Dollars \n", + "8349 BDCQ.SF8RSCA 2023.09 673.068 NaN F Dollars \n", + "8350 BDCQ.SF8RSCA 2023.12 511.098 NaN F Dollars \n", + "8351 BDCQ.SF8RSCA 2024.03 631.229 NaN F Dollars \n", + "8352 BDCQ.SF8RSCA 2024.06 542.409 NaN F Dollars \n", + "8353 BDCQ.SF8RSCA 2024.09 612.190 NaN F Dollars \n", + "8354 BDCQ.SF8RSCA 2024.12 643.976 NaN F Dollars \n", + "\n", + " Magnitude Subject \\\n", + "0 6 Business Data Collection - BDC \n", + "1 6 Business Data Collection - BDC \n", + "2 6 Business Data Collection - BDC \n", + "3 6 Business Data Collection - BDC \n", + "4 6 Business Data Collection - BDC \n", + "5 6 Business Data Collection - BDC \n", + "6 6 Business Data Collection - BDC \n", + "7 6 Business Data Collection - BDC \n", + "8 6 Business Data Collection - BDC \n", + "9 6 Business Data Collection - BDC \n", + "10 6 Business Data Collection - BDC \n", + "11 6 Business Data Collection - BDC \n", + "12 6 Business Data Collection - BDC \n", + "13 6 Business Data Collection - BDC \n", + "14 6 Business Data Collection - BDC \n", + "15 6 Business Data Collection - BDC \n", + "16 6 Business Data Collection - BDC \n", + "17 6 Business Data Collection - BDC \n", + "18 6 Business Data Collection - BDC \n", + "19 6 Business Data Collection - BDC \n", + "20 6 Business Data Collection - BDC \n", + "21 6 Business Data Collection - BDC \n", + "22 6 Business Data Collection - BDC \n", + "23 6 Business Data Collection - BDC \n", + "24 6 Business Data Collection - BDC \n", + "25 6 Business Data Collection - BDC \n", + "26 6 Business Data Collection - BDC \n", + "27 6 Business Data Collection - BDC \n", + "28 6 Business Data Collection - BDC \n", + "29 6 Business Data Collection - BDC \n", + "... ... ... \n", + "8325 6 Business Data Collection - BDC \n", + "8326 6 Business Data Collection - BDC \n", + "8327 6 Business Data Collection - BDC \n", + "8328 6 Business Data Collection - BDC \n", + "8329 6 Business Data Collection - BDC \n", + "8330 6 Business Data Collection - BDC \n", + "8331 6 Business Data Collection - BDC \n", + "8332 6 Business Data Collection - BDC \n", + "8333 6 Business Data Collection - BDC \n", + "8334 6 Business Data Collection - BDC \n", + "8335 6 Business Data Collection - BDC \n", + "8336 6 Business Data Collection - BDC \n", + "8337 6 Business Data Collection - BDC \n", + "8338 6 Business Data Collection - BDC \n", + "8339 6 Business Data Collection - BDC \n", + "8340 6 Business Data Collection - BDC \n", + "8341 6 Business Data Collection - BDC \n", + "8342 6 Business Data Collection - BDC \n", + "8343 6 Business Data Collection - BDC \n", + "8344 6 Business Data Collection - BDC \n", + "8345 6 Business Data Collection - BDC \n", + "8346 6 Business Data Collection - BDC \n", + "8347 6 Business Data Collection - BDC \n", + "8348 6 Business Data Collection - BDC \n", + "8349 6 Business Data Collection - BDC \n", + "8350 6 Business Data Collection - BDC \n", + "8351 6 Business Data Collection - BDC \n", + "8352 6 Business Data Collection - BDC \n", + "8353 6 Business Data Collection - BDC \n", + "8354 6 Business Data Collection - BDC \n", + "\n", + " Group \\\n", + "0 Industry by financial variable (NZSIOC Level 2) \n", + "1 Industry by financial variable (NZSIOC Level 2) \n", + "2 Industry by financial variable (NZSIOC Level 2) \n", + "3 Industry by financial variable (NZSIOC Level 2) \n", + "4 Industry by financial variable (NZSIOC Level 2) \n", + "5 Industry by financial variable (NZSIOC Level 2) \n", + "6 Industry by financial variable (NZSIOC Level 2) \n", + "7 Industry by financial variable (NZSIOC Level 2) \n", + "8 Industry by financial variable (NZSIOC Level 2) \n", + "9 Industry by financial variable (NZSIOC Level 2) \n", + "10 Industry by financial variable (NZSIOC Level 2) \n", + "11 Industry by financial variable (NZSIOC Level 2) \n", + "12 Industry by financial variable (NZSIOC Level 2) \n", + "13 Industry by financial variable (NZSIOC Level 2) \n", + "14 Industry by financial variable (NZSIOC Level 2) \n", + "15 Industry by financial variable (NZSIOC Level 2) \n", + "16 Industry by financial variable (NZSIOC Level 2) \n", + "17 Industry by financial variable (NZSIOC Level 2) \n", + "18 Industry by financial variable (NZSIOC Level 2) \n", + "19 Industry by financial variable (NZSIOC Level 2) \n", + "20 Industry by financial variable (NZSIOC Level 2) \n", + "21 Industry by financial variable (NZSIOC Level 2) \n", + "22 Industry by financial variable (NZSIOC Level 2) \n", + "23 Industry by financial variable (NZSIOC Level 2) \n", + "24 Industry by financial variable (NZSIOC Level 2) \n", + "25 Industry by financial variable (NZSIOC Level 2) \n", + "26 Industry by financial variable (NZSIOC Level 2) \n", + "27 Industry by financial variable (NZSIOC Level 2) \n", + "28 Industry by financial variable (NZSIOC Level 2) \n", + "29 Industry by financial variable (NZSIOC Level 2) \n", + "... ... \n", + "8325 Industry by financial variable (NZSIOC Level 1) \n", + "8326 Industry by financial variable (NZSIOC Level 1) \n", + "8327 Industry by financial variable (NZSIOC Level 1) \n", + "8328 Industry by financial variable (NZSIOC Level 1) \n", + "8329 Industry by financial variable (NZSIOC Level 1) \n", + "8330 Industry by financial variable (NZSIOC Level 1) \n", + "8331 Industry by financial variable (NZSIOC Level 1) \n", + "8332 Industry by financial variable (NZSIOC Level 1) \n", + "8333 Industry by financial variable (NZSIOC Level 1) \n", + "8334 Industry by financial variable (NZSIOC Level 1) \n", + "8335 Industry by financial variable (NZSIOC Level 1) \n", + "8336 Industry by financial variable (NZSIOC Level 1) \n", + "8337 Industry by financial variable (NZSIOC Level 1) \n", + "8338 Industry by financial variable (NZSIOC Level 1) \n", + "8339 Industry by financial variable (NZSIOC Level 1) \n", + "8340 Industry by financial variable (NZSIOC Level 1) \n", + "8341 Industry by financial variable (NZSIOC Level 1) \n", + "8342 Industry by financial variable (NZSIOC Level 1) \n", + "8343 Industry by financial variable (NZSIOC Level 1) \n", + "8344 Industry by financial variable (NZSIOC Level 1) \n", + "8345 Industry by financial variable (NZSIOC Level 1) \n", + "8346 Industry by financial variable (NZSIOC Level 1) \n", + "8347 Industry by financial variable (NZSIOC Level 1) \n", + "8348 Industry by financial variable (NZSIOC Level 1) \n", + "8349 Industry by financial variable (NZSIOC Level 1) \n", + "8350 Industry by financial variable (NZSIOC Level 1) \n", + "8351 Industry by financial variable (NZSIOC Level 1) \n", + "8352 Industry by financial variable (NZSIOC Level 1) \n", + "8353 Industry by financial variable (NZSIOC Level 1) \n", + "8354 Industry by financial variable (NZSIOC Level 1) \n", + "\n", + " Series_title_1 Series_title_2 \\\n", + "0 Sales (operating income) Forestry and Logging \n", + "1 Sales (operating income) Forestry and Logging \n", + "2 Sales (operating income) Forestry and Logging \n", + "3 Sales (operating income) Forestry and Logging \n", + "4 Sales (operating income) Forestry and Logging \n", + "5 Sales (operating income) Forestry and Logging \n", + "6 Sales (operating income) Forestry and Logging \n", + "7 Sales (operating income) Forestry and Logging \n", + "8 Sales (operating income) Forestry and Logging \n", + "9 Sales (operating income) Forestry and Logging \n", + "10 Sales (operating income) Forestry and Logging \n", + "11 Sales (operating income) Forestry and Logging \n", + "12 Sales (operating income) Forestry and Logging \n", + "13 Sales (operating income) Forestry and Logging \n", + "14 Sales (operating income) Forestry and Logging \n", + "15 Sales (operating income) Forestry and Logging \n", + "16 Sales (operating income) Forestry and Logging \n", + "17 Sales (operating income) Forestry and Logging \n", + "18 Sales (operating income) Forestry and Logging \n", + "19 Sales (operating income) Forestry and Logging \n", + "20 Sales (operating income) Forestry and Logging \n", + "21 Sales (operating income) Forestry and Logging \n", + "22 Sales (operating income) Forestry and Logging \n", + "23 Sales (operating income) Forestry and Logging \n", + "24 Sales (operating income) Forestry and Logging \n", + "25 Sales (operating income) Forestry and Logging \n", + "26 Sales (operating income) Forestry and Logging \n", + "27 Sales (operating income) Forestry and Logging \n", + "28 Sales (operating income) Forestry and Logging \n", + "29 Sales (operating income) Forestry and Logging \n", + "... ... ... \n", + "8325 Operating profit Arts, Recreation and Other Services \n", + "8326 Operating profit Arts, Recreation and Other Services \n", + "8327 Operating profit Arts, Recreation and Other Services \n", + "8328 Operating profit Arts, Recreation and Other Services \n", + "8329 Operating profit Arts, Recreation and Other Services \n", + "8330 Operating profit Arts, Recreation and Other Services \n", + "8331 Operating profit Arts, Recreation and Other Services \n", + "8332 Operating profit Arts, Recreation and Other Services \n", + "8333 Operating profit Arts, Recreation and Other Services \n", + "8334 Operating profit Arts, Recreation and Other Services \n", + "8335 Operating profit Arts, Recreation and Other Services \n", + "8336 Operating profit Arts, Recreation and Other Services \n", + "8337 Operating profit Arts, Recreation and Other Services \n", + "8338 Operating profit Arts, Recreation and Other Services \n", + "8339 Operating profit Arts, Recreation and Other Services \n", + "8340 Operating profit Arts, Recreation and Other Services \n", + "8341 Operating profit Arts, Recreation and Other Services \n", + "8342 Operating profit Arts, Recreation and Other Services \n", + "8343 Operating profit Arts, Recreation and Other Services \n", + "8344 Operating profit Arts, Recreation and Other Services \n", + "8345 Operating profit Arts, Recreation and Other Services \n", + "8346 Operating profit Arts, Recreation and Other Services \n", + "8347 Operating profit Arts, Recreation and Other Services \n", + "8348 Operating profit Arts, Recreation and Other Services \n", + "8349 Operating profit Arts, Recreation and Other Services \n", + "8350 Operating profit Arts, Recreation and Other Services \n", + "8351 Operating profit Arts, Recreation and Other Services \n", + "8352 Operating profit Arts, Recreation and Other Services \n", + "8353 Operating profit Arts, Recreation and Other Services \n", + "8354 Operating profit Arts, Recreation and Other Services \n", + "\n", + " Series_title_3 Series_title_4 Series_title_5 \n", + "0 Current prices Unadjusted NaN \n", + "1 Current prices Unadjusted NaN \n", + "2 Current prices Unadjusted NaN \n", + "3 Current prices Unadjusted NaN \n", + "4 Current prices Unadjusted NaN \n", + "5 Current prices Unadjusted NaN \n", + "6 Current prices Unadjusted NaN \n", + "7 Current prices Unadjusted NaN \n", + "8 Current prices Unadjusted NaN \n", + "9 Current prices Unadjusted NaN \n", + "10 Current prices Unadjusted NaN \n", + "11 Current prices Unadjusted NaN \n", + "12 Current prices Unadjusted NaN \n", + "13 Current prices Unadjusted NaN \n", + "14 Current prices Unadjusted NaN \n", + "15 Current prices Unadjusted NaN \n", + "16 Current prices Unadjusted NaN \n", + "17 Current prices Unadjusted NaN \n", + "18 Current prices Unadjusted NaN \n", + "19 Current prices Unadjusted NaN \n", + "20 Current prices Unadjusted NaN \n", + "21 Current prices Unadjusted NaN \n", + "22 Current prices Unadjusted NaN \n", + "23 Current prices Unadjusted NaN \n", + "24 Current prices Unadjusted NaN \n", + "25 Current prices Unadjusted NaN \n", + "26 Current prices Unadjusted NaN \n", + "27 Current prices Unadjusted NaN \n", + "28 Current prices Unadjusted NaN \n", + "29 Current prices Unadjusted NaN \n", + "... ... ... ... \n", + "8325 Current Unadjusted NaN \n", + "8326 Current Unadjusted NaN \n", + "8327 Current Unadjusted NaN \n", + "8328 Current Unadjusted NaN \n", + "8329 Current Unadjusted NaN \n", + "8330 Current Unadjusted NaN \n", + "8331 Current Unadjusted NaN \n", + "8332 Current Unadjusted NaN \n", + "8333 Current Unadjusted NaN \n", + "8334 Current Unadjusted NaN \n", + "8335 Current Unadjusted NaN \n", + "8336 Current Unadjusted NaN \n", + "8337 Current Unadjusted NaN \n", + "8338 Current Unadjusted NaN \n", + "8339 Current Unadjusted NaN \n", + "8340 Current Unadjusted NaN \n", + "8341 Current Unadjusted NaN \n", + "8342 Current Unadjusted NaN \n", + "8343 Current Unadjusted NaN \n", + "8344 Current Unadjusted NaN \n", + "8345 Current Unadjusted NaN \n", + "8346 Current Unadjusted NaN \n", + "8347 Current Unadjusted NaN \n", + "8348 Current Unadjusted NaN \n", + "8349 Current Unadjusted NaN \n", + "8350 Current Unadjusted NaN \n", + "8351 Current Unadjusted NaN \n", + "8352 Current Unadjusted NaN \n", + "8353 Current Unadjusted NaN \n", + "8354 Current Unadjusted NaN \n", + "\n", + "[8355 rows x 14 columns]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We want to vizualize the column data_value" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "values = data[\"Data_value\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is a visualization of the values" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJztnXl8FPX9/1/v3AkhIYFwH0Fu8ACJyOFVg0K1LbYepa3VtrS21rb6td+fxaunWuzl0Vat1SpqlVrlq1a8uNSqCAQQELkCBAhXQoAkkDt5//7Ymc3s7szO7O7szuzs+/l45JHZz87MfmZ29vP6fN7v9+f9IWaGIAiCIGhJc7oCgiAIgvsQcRAEQRBCEHEQBEEQQhBxEARBEEIQcRAEQRBCEHEQBEEQQhBxEARBEEIQcRAEQRBCEHEQBEEQQshwugLR0qdPHy4tLXW6GoIgCEnFunXrjjJzidl+SSsOpaWlqKiocLoagiAISQUR7bWyn5iVBEEQhBBEHARBEIQQRBwEQRCEEEQcBEEQhBBEHARBEIQQRBwEQRCEEEQcBEEQhBBEHARd1lYdw/bDjf7XSz87giMNLQ7WSBCERCLiIOhy9WOrMOvB9wEAzIzvPVOBa/62yuFaCYKQKEQcBFOYff/31jU5WxFBEBKGiIMgCIIQgoiDYAo7XQFBEBKOZXEgonQi2kBEryuvi4loKRHtVP4Xafa9nYgqiWg7Ec3SlE8mos3Kew8TESnl2UT0L6V8NRGV2neJQqywYlfyfVuCIKQCkYwcbgawVfN6PoDlzDwKwHLlNYhoPIC5ACYAmA3gESJKV455FMANAEYpf7OV8nkAjjPzSAAPALg/qqsR4oI6cmAZQghCymBJHIhoMIDLATyhKZ4DYKGyvRDAFZryRczcysx7AFQCmEJEAwAUMPMq9nVFnwk6Rj3XSwDK1VGFIAiCkHisjhweBHAbgC5NWT9mPgQAyv++SvkgAPs1+1UrZYOU7eDygGOYuQNAPYDelq9CiCsyYhCE1MNUHIjoCwBqmHmdxXPq9fg5THm4Y4LrcgMRVRBRRW1trcXqCLHC4pIWhJTDyshhBoAvEVEVgEUALiai5wAcUUxFUP7XKPtXAxiiOX4wgINK+WCd8oBjiCgDQCGAY8EVYebHmbmMmctKSkxXuRNsQkYOgpB6mIoDM9/OzIOZuRQ+R/MKZr4WwGsArld2ux7Aq8r2awDmKhFIw+FzPK9RTE+NRDRV8SdcF3SMeq6rlM+QJkkQBMEhYpnnsADAJUS0E8Alymsw8xYALwL4DMBbAG5i5k7lmBvhc2pXAtgF4E2l/EkAvYmoEsCtUCKfBOf5zeufYcvBBv/rx97bhcqaxjBHCILgBShZO+hlZWVcUVHhdDU8S+n8JWHf3/jzS1GYl5mg2giCYBdEtI6Zy8z2kxnSQlScaG5zugqCIMQREQchKto6usx3EgQhaRFxEKKiVcRBEDyNiIMQFW2dIg6C4GVEHISoaG0XcRAELyPiIERFa0en+U6CICQtIg5CVDS0dDhdBUEQ4oiIgxAV/QtynK6CIAhxRMRBiIqyYUXmOwmCkLSIOAhRIattCIK3EXEQokLWYhIEbyPiIAiCIIQg4iAISUhlzUmMvOMNlM5fgkVr9jldHcGDiDh4iPqmdsl5lCL8e91+dHT5MirPX7zZ4doIXkTEwUOc9et3cMOzksY8FejqSs5U+0LyIOLgMd7dLmtrpwJabZDYACEeiDh4BElnkVp0atQhTdRBiAMiDh5hx+GTTldBSCDaFRzTRRyEOCDi4BG07cO+uibnKiIkhE6NOEj6dCEeiDh4BK04XPD7lc5VREgI6/aecLoKgscRcfAIBDEtpBIt7eJjEuKLiINHELNzatHFEsoqxBcRB48gESupRafMcxDijIiDRwjWhprGFmcqIiQEGTgI8UbEwSMEjxum3Ls8INxR8BYychDijYiDR9CzKjXHyWmZniYmLKfpFOEX4oyIg0fQW1+htT0+8e8y6cp5JLeSEG9EHDyCXnPdHqfJUWny1DiOjByEeCM/c4+gN3KI1qxk5qswi4z6d8V+lM5fgr11p6L6fMEc8TkI8UbEwSNk6PgBfvP61qjOZdbumInD/3tpEwBg1a66qD5fMEfMSkK8EXHwCGk64rB+3/GozmU+crB2noP1Ek4bL8SsJMQbEQcPE63b2KzZkWgl5+noFHEQ4ouIgxCCWafU6mxskZD40SFmJSHOiDh4hGWfHQkpizbi1Cxvj54JSxAEbyHi4BH+vKIypCxe+ZZknoMgeB8RBw8zoDAnquPMzEpWfQ5i+BCE5EXEwSPodeavOWdIVOdik2bd8sBBImoEIWkRcfAw0ZqVYp3noCLSIAjJi6k4EFEOEa0hoo1EtIWIfqWUFxPRUiLaqfwv0hxzOxFVEtF2IpqlKZ9MRJuV9x4mZVovEWUT0b+U8tVEVGr/pXqb2sZW285lNs/Bqlnpzysqcai+2Y4qCYKQYKyMHFoBXMzMZwGYCGA2EU0FMB/AcmYeBWC58hpENB7AXAATAMwG8AgRpSvnehTADQBGKX+zlfJ5AI4z80gADwC434ZrS3miteqYHRZJsNK0367Awo+qoquIIAiOYSoO7OOk8jJT+WMAcwAsVMoXArhC2Z4DYBEztzLzHgCVAKYQ0QAABcy8in1d02eCjlHP9RKActJLFiQkBDbJ1xfpJLhfvLYlhtoIguAElnwORJRORJ8AqAGwlJlXA+jHzIcAQPnfV9l9EID9msOrlbJBynZwecAxzNwBoB5A72guSIgdM4e0LEkqCN7HkjgwcyczTwQwGL5RwOlhdtdrOThMebhjAk9MdAMRVRBRRW1trVm1hSj5d0V12PdFHATB+0QUrcTMJwC8C5+v4IhiKoLyv0bZrRqANoZyMICDSvlgnfKAY4goA0AhgGM6n/84M5cxc1lJSUkkVU9JzEYARlTWnAz7vqznIAjex0q0UgkR9VK2cwHMBLANwGsArld2ux7Aq8r2awDmKhFIw+FzPK9RTE+NRDRV8SdcF3SMeq6rAKxgWQDZMapPNIV9X2ZIC4L3ybCwzwAAC5WIozQALzLz60S0CsCLRDQPwD4AVwMAM28hohcBfAagA8BNzKyuOnMjgKcB5AJ4U/kDgCcBPEtElfCNGObacXFCdHxYGX4dBsmtJAjex1QcmHkTgEk65XUAyg2OuRfAvTrlFQBC/BXM3AJFXAT3Iz4HQfA+Yj0WIkbMSoLgfUQcPEy8vDbikBYE7yM/cyFiZCU4QfA+Ig5CxORkpJvvJAhCUiPiIERMdqY8NoLgdeRXLkRMVro8NoLgdeRX7mHiNYuw7lQbSucvwZo9IZPYBUHwCCIOQsSs33scAPDcx3sdrokgCPFCxEGImFNtvgnvr208aLKnECv7jzXh4AlZMElIPFbSZwiC4BDn/24lAKBqweUO10RINWTkIAiCIIQg4uBlHEhs29klyXQFwQuIOAi2svlAvdNVEATBBkQcUpS1Vcdw6QPvoVlxLi9asw/femqNw7USBMEtiDikKPcs2YodR05i2+EGAMD8xZvx7vbYl16VrEvx4URTm+k+Dy3bidF3vQlZJ0uwAxGHFEUNj2xu7zTZMzIkm3d8qKg6brrPA8t2oK2jC7tqTyWgRoLXkVBWDxOu/1jb2AoA+MYTq3H9tFJ/+bVPrI7oMzbuP4EBhTnoW5ATRQ2FeNAlIwfBBkQcUhxm4OmPqvyvP6g8GtHxc/76IYDuOPxXNsjEuHgQyYhMBm+CHYhZySM4nQyvo7MLALDvWJOj9RDEtCfYg4iDRxhSnOvo53960OfYlnWA3IB8CULsiDh4mESantWRS5pOt9Vp4Uo1ZOQg2IGIgxAz6WmE8QMLAOivLy0rx0XHqdYO/7b4HIREI+LgIc4pLcIPLhyR8M89f1Qf/zbptGLSk42Oww0tUR2n9x0IQqSIOHgEBtC3IAfzPz8Wa+4sT+hna53hemYlIXYOnohOKAQhWkQcPITaLGfo2XbiSFZG9+dlpos4xIOWCCYryjcg2IGIg4eJNY3Cmzefj9d/fJ7/9bJbL8Rbt5wfsl+GJkQpM8HC5GW0jXwkpiIZvAl2IJPgPIhdbcO4AT4n80VjSjCmX0+M7Juvu1+6RhCkYYoPkdxWkrGDYAMiDl4hjmGrT397Stj3HZ5/lxJEIrqZGSIOQuzIz9pD2Bml8sBXz7K8r3bkUNqnR8B74oOwh4wIZhcm2uckeBN5igRd8rMzLe+rbbjG9u8Z8N7Mcf1sq1OqoU2hnmYiDr/6z5Z4V0dIMUQcPEwslqZIeqrpmn0lH6h9VNV1p942CxF+6sOqONdGSDVEHDyIHdal9CjFQU8dJIN0dGgFQe6hkGhEHDyC3W1HZDZu430leil6PlOSGQJAbpb8VIXEIk+ch7CzHc6IIARJaw9Xw1+F2FlTdcy/PWFgoX/76MlWJ6ojpBgiDoIukZiVtCOH/oWyIlw80JqVNlfXO1cRIWUQcfAwsdipIzErZWfIY5RIOrvEASHEH/lVewRtqgw7ZshGMnLIyXRvSu6Rd7yBm/653ulq2IqsES0kAhEHD2Gn8zcjgslr2S4Vh64uRkcXY8nmQ05XxVbMxIEloFiwAVNxIKIhRLSSiLYS0RYiulkpLyaipUS0U/lfpDnmdiKqJKLtRDRLUz6ZiDYr7z1MypReIsomon8p5auJqNT+SxW09MgK36BHYlbKdak4dHjI/KJt8D10WYKLsTJy6ADwU2YeB2AqgJuIaDyA+QCWM/MoAMuV11DemwtgAoDZAB4hIrX1eBTADQBGKX+zlfJ5AI4z80gADwC434ZrE8LQtyC84zg9ghQMOZn6+77wvakR1clutA3q4vXVqIly8RynyDKIGBOfg5AITFsAZj7EzOuV7UYAWwEMAjAHwEJlt4UArlC25wBYxMytzLwHQCWAKUQ0AEABM69in4H8maBj1HO9BKCc7EwUlALoNRfhmhCzdN6RjByMlgGdNqK35XPEA+0l3vriRky5bzlWbqtxrkIRUtonT7dcfA5CIojI56CYeyYBWA2gHzMfAnwCAqCvstsgAPs1h1UrZYOU7eDygGOYuQNAPQBnW5YkhEI2jDFrXiLxOeg5pAf1yrV8fCLZfqTR6SpY5pqyIbrlIg5CIrCcspuI8gG8DOAWZm4I07HXe4PDlIc7JrgON8BnlsLQoUPNqiyE4Whj+IlUkUUrBfYxVt9RjjwTn0YiaO3oCilLpkl69yzZ6t/W6kFX6GUJgu1YGjkQUSZ8wvBPZl6sFB9RTEVQ/qvj9WoA2i7PYAAHlfLBOuUBxxBRBoBCAMcQBDM/zsxlzFxWUlJipeqCAafawi87GUna5+CRQ7+CHPTM6c7q6lQ/d6fOKMELKcQLc61nzBWEaLESrUQAngSwlZn/pHnrNQDXK9vXA3hVUz5XiUAaDp/jeY1iemokoqnKOa8LOkY911UAVnCsa1wmCGbGkx/sQU2j+5ydsdxCu+Y5OLkqmd7Ve2GVtIEuNdkJ3sJK93AGgG8CuJiIPlH+LgOwAMAlRLQTwCXKazDzFgAvAvgMwFsAbmJmtZt6I4An4HNS7wLwplL+JIDeRFQJ4FYokU/JQGXNSfzm9c/wo+c3OFoPrQ7Y4cqPyCFtEK3kNF0ejepRo7AemjvR4ZoIXsbU58DMH8DYxVlucMy9AO7VKa8AcLpOeQuAq83q4kbaO30/1IbmdodrYu9KcJGMHNxq5vCSNGjFX9126/wSwRu4s8uXRNS7QBTiQabFrKy3zR4T4F9wE8lhmIwc9bok2luIJyIOMfKzlzcBALYdTp4QSStYHTi4uQFO9jQS35peqluuXpdIgxBPRBxipE6TW9/Jmat2N4RWe6W9e2TZ+rl24mbhsoJeOPDeulPYuP8EgDC+pSS/bsEdWJ7nIOijXcrxzyt24paZox2rCwX9jzcPzZ2IL545MEGfFjl64pCsowm13hf+/l1/2Ykmb5o0BXcg4hArmpZ4w74TztXDAeZMHGS+k4MUu3hUYwd6k/wEwS7ErBQjAYvAO1iPRPLji0c6XQVLZLs0xNYqqfI8Ce4kuX89LkBr931/Ry0qqkImdnuOn146BlULLne6GqYkyTxKQXAlIg42c9Vjqxz5XF37eoq3jeocFC+g911KJKsQT0QcYsRVTkGlsXBb/LtTPfh/rt7ryOfaRaqLu+AsIg4pSGtH+KR7tuKgTh13k3DHAXd1AQSvIeKQghyud1+SwHjgdZ+Dt69OcBoRB48QSTvo9R61SrKve5CsczIEbyDi4CGC01EbNS6RZFxNZt7actjpKsSV1PgWBacQcfAgZo2Gx60tKUOGQXJE+XoFOxBxSEHe31nrdBWcI0lbTj1B75Pv7RnggrOIOKQgVUdPOV0FwQomQnbhaFkqV4gfIg4ewur0hkgW8nE7Le2dOHii2elqJJzhfXqAiFA2rMjpqggeRcTBwxj5Fqwu5JMMjL37LUxfsMLpakTEJ/tPoLLmZEznUPV9yvBiG2okCKFIVlYPYjaC6PKgR3rP0VPITCcMLMxFmstHRlf89UMAMM1PxQHbgd9ZmstmwQveQ8QhBXFwTaK48bk/vOvfdnNSwJOtHbacZ6cy8hCNEOKFd+wLKU4ks4E/3l0Xx5qE4kEtiprthxuiPrahJTUmLwruQMTBQ1jtRO5JYLRSoju22RnufqQjMQcFCz7rzPi+evKQWKskCLq4+5ckxES0PfZkjmZyu7M9Wl+B0cCwtE8PfOPcoTHUSBD0cfcvSYiK4DQawZg1/sktDu6ue0yOZHdfmuAxRBxiYF9dk9NV8BPJKMEsWimZcy8ZpZRQSSb/R7RBZR4MRhMcQMQhBo6eanW6CgFY7ZSaNR7pSRwCk+Vys9Lza/ZFf7A0+kICcfcvyeW4vQk1EoH/N2tM2OPcPk8gHBkuNyvVnYyuQ8EIHPFdPLavTTUSBH1EHGLAbctxqphVq2/P7JCyORMH+reT2aykOqRb2hO42l0ExOLPadGs4Le7tnuGtUsfQyHJEXGIgWRtQ9X+Z3EPX1bPMf164iflo3Banx4AgMvPHOBQzWJHFbYOl870i0Qcgq/g7+/v8W9XucjfJXgTmSEdA2ZRQYkkGifkaz+agYLcTGSlpyEnMx0r/vciHDvVhsLcTPsrmCDUkYNbhftADEkCZRKckEhEHGLAbcN5y2KlEZKCnEAhUEcTyYpeKOvXzx2KrPQ0PP1RVeIrFMSGfSeiOo6Z0d6Z5OueCkmFmJViYLfOTGM3CYbRMqFquVt9JrGgjhy0I6n7vnwGLjsj+UxlwaNBEQchkYg4xMBPXtgQUpYMMeZqHRMmDQm8J8EzpKeUeiel9Rubvb0mtuAuRBxiYERJD6er4MdolBCORAwc4jk60Us2GBzKOnO8hHwKQjSIOMTAZJetwmV5Elx8q5EwWjtCzSx+s5LBMckwslPRCn4SVVvwCCIOMZCsC650m5WSs/4qL+jMNg52SKvXmKRfVVREM4oUhGBEHGLA7Q5do15yt0M6MfU43tQWMGmr+ngTDte3xHzeprbQiW4ZafJIC4IdyC8pBtwUS68VAquNfqKqf7ypHRf/8T3UNvpSR5x3/0pM/e3ymM/bpTPRzeV6HRFWTWDJPgIU3ImpOBDRP4iohog+1ZQVE9FSItqp/C/SvHc7EVUS0XYimqUpn0xEm5X3Hial201E2UT0L6V8NRGV2nuJ8cPIrBTJqmx2YlfivXjx0a6jAa9jzWrbqXMhapFT30G88NjlCEmAlZHD0wBmB5XNB7CcmUcBWK68BhGNBzAXwATlmEeIKF055lEANwAYpfyp55wH4DgzjwTwAID7o72YRKNtjH82eyzOHFzoXGUiwN/OJLjDefOiT1A6f4n/9QW/X4nS+UuweH11VOf7+/u7Q8qC21AvjSQEIZGYigMzvw/gWFDxHAALle2FAK7QlC9i5lZm3gOgEsAUIhoAoICZV7GvS/dM0DHquV4CUE5uN+YrnD+qBADw0NyJuPGiEcmTKVPphrrFHHHrixujOu6Ujs/BayMGQXCKaH0O/Zj5EAAo/9VWcRCA/Zr9qpWyQcp2cHnAMczcAaAeQO8o65VQ1MiYwUV5AeXJ0j65RYLzstLNd4qQJPkKBMG12O2Q1mtuOEx5uGNCT050AxFVEFFFbW1tlFW0H7WRdbInrr1hZvVwW8N5TdkQ287ltmszYljvPPOdArD3yprbOlE6fwkee2+XrecVvEO04nBEMRVB+V+jlFcD0P7SBwM4qJQP1ikPOIaIMgAUItSMBQBg5seZuYyZy0pKSqKsun24ryGyJk4JT59hQrj5Ik1tHZj+2+VYtasOALCr9iQm/2YpDtUbZDd135eiS6wr1j397XNiOv6DSl9wwII3t8V0HsG7RPuEvgbgemX7egCvasrnKhFIw+FzPK9RTE+NRDRV8SdcF3SMeq6rAKzgZDEcGzSybq+8envd4toJ106+vvEQDta34Gt//xgrt9eg/I/voe5UG77/7Drd/c0mgCXTBLFwP4OzBveK6dz/XL03puMF72OaspuIXgBwEYA+RFQN4BcAFgB4kYjmAdgH4GoAYOYtRPQigM8AdAC4iZlVr+GN8EU+5QJ4U/kDgCcBPEtElfCNGObacmUJRG1kXdLWWiYR1bXyGeGWJb3t5U3+7W8/tda/vam6Puw5g9vVJPtqdLl4bF9sO9SA+75yBopiTK1+/FSbTbUSvIqpODDz1wzeKjfY/14A9+qUVwA4Xae8BYq4JBuGKbHZyM0Sx7roVMWo5+m2vnO6jaoaIgouVez+hTkR7c/s+z5752fjojGxR8W1dbrtKRDchiz2YwMU9N8p/I5x5f8f3tmBh1dU4oxBhVh0w1TMWLAC9c3t/oR1iWg3my2s5RzLusrBuNkgGam1NHhvhrXvzM33QEgeJH1GDCTDj7Ctowvr9h5H3ck21DS2BmQyTUR01doq3diCAOwQh5AV7JLgu4kUZv0OSDQiP6w40mgpIdWQkYMNBP843dgudekpWQJGDieazNc9jtWsVLXgcgDArAfeDzH1OT2a02JLZ8Km4Z4q2kOKc205n+A9ZOQQA6H2bWfq4cMsSse9GN03vcR6wbx847SA87h5NBdp1bTXwlEcH446xSHd0Nxh41kFLyHiYANuSUMRzvcx7+m1IWUu9dX60VujO5gzg0I6XawNMcPMtj9pyRI1LiQeEYcYSKbVxrYdbgwpc4s2GN0vK74I7ZrR2sgkN85n0DbE0T4jdgu6++6S4BZEHGygO0rILc2tNdzeMHyy/3jEx7jL1BdIrPfbyCEdC9kZ0gQI+siTEQPJPiR3e/Xf2Hw4ov19DafLLyoCAtaQZt9ruzsgF45OkkzCQsIRcYgBQ7OSAw1UVA29y9vRSK9J224aLpHq4DUHOpgjr0g8Rg5uWs1QcBcSymoDbjFdRGrecotd3th3E10DqsXvpHfBdxTr/WaO/Tq0iy0Bru8fCA4iI4cYcLtZxoxE1P/lG6dHfaxZ9YJX3iNKnsbOyr0PGGkw+8xKFsYOmw/Uo7KmEU1tqRGm+sqGA5h6X+xrkguByMjBBoJ/sMkiGgW5mXH/jMFF0U+yGtUvHyu21WB0v3w8cd05KP/Tu2jvZNxzxemYOa4fCoPqTyBX+4FiqdpXH//Y8L1gudBmrFUnCBphZ14rp7jlX58A8GUDyBIHu22IOMRE0GxcB39n0bQ7duY0MkJ3ZnYQRrtMGlIEAHjwq5MwtHceFn5nCh5/fze+PmWobibXAJ9DFHVdse0IvvN0Be66fBz6FuRg8fpqrN59DHdcPg752ek4a3AvnFaSH8WZ3YtbTIt24KVrcQMiDjbgls6XWybjabEwydkQdRSQpnQGp4/og+kj+oQ9ZvvhRmzYdxzDevcAEFl48dMf+dY4uGfJ1oDyu1/5FADQMzsDm381y/L5wmHJrGTLJ5l8hofaUy9dixuQMVgMhDo/o2ucaxpbbLUPJ1oiGlvaUTp/CRZ+VBXynpUUGEaoh4ZbKU4LAThY34IvP/IR6k62Rvx5LW3hM8g2tsb2HSW68crNtH9tbiF1kJGDDUQ7cpj94Pv+mcsTBhZgyU/Ot7FWiePTAw0AgF+8tgUf7TqKmeP64cqzByMtjdAj2/wRMzIHqCYpy9YvzRdxyQPvWzyoG7P04kV5sfloAuYtJGBcoPpkPj1Qj5sXbQiYTd5dD+9gxYQpWEfEIQZiTZ+hTWmx5WBD7BVyiA2amcxvbzmCt7ccwVWTfUuGF/fIwlu3nI+cjHQwgM6uLpxq7UR+TgYIwMV/fM/wvOqPPZaJXycj6O2fMhm9xbr6WqLJSPfdty/8+QPDfRLZntadbEVuVjrysuLT7Ig22IuIQwyoD6NqTorV9/D6poP4wpkDo6yLc7+M3721PaRM26CP7V+ge5xZnTkKs1IwF4+1PgN4d234RH/FeeHF4UhDC4rysgwjZiL9imL9SrPCLc6tfkaCxg7MjMn3LEN6GmHXfZfZcs5nVlXhc5pV8UQb7EXEwQbscki/sGZf1OIQaT2GxnGxl5F97YnoidSs9Mn+EyFlOUF291gakF5hxGHnkcYAU9bY/j3x5s3nByUD1NQjAS2ZOnIIS4Ja1OPKuh6dsUQoaKg+3oSfv7oFffIr/WVuDmO2StXRUxjWO88VedpEHGLAcA3pKH9xzSYOUatYea4Kcu376n8zZwLufnWL//WACNdHfnDZTjy4bCcAYN55w/HkB3sC3rc6ctAjw68sdqw2Z+xzeHd7bcDrbYcb0drRFSJOiUTPxxBMoprTDyuPRrQ/m5gU9x1rAgAc1QQe2KQ7jvGfjQfx4xc24PxRffDsvHOdro5EK9mBXc3P+n2hPV8tq3fXoXT+EizZdAibq+uxr64p6s/62eyxUR8bjFYYAKC9s8tgz0D0fvjBwgBYa+SMsNR7tkg45/rwPj1Mjw9I2W3pE2Nr7TKsiEOCettFyqirb89sAEB9sy/CrXT+Etz20saQOg2//Q3MW1hheL5jymJFgQfaV18neH+Hr4Px352RCWm8EHGIgUSPYtVZsjc9vx5f/MsHuOD3K7vrEuG5zh9VYmPNAvl4t/m60ZHQP8KRiJaMtMQ84lX1vIW7AAAXHklEQVR15gsThfuO3vr0cNThzEa966x0ss2MEysPLNsBAOilRHw9vHyn/70XK6oD9t18oB4AsGJbjeH5PtpVF1KWKP/Jjc+tQ+n8JbYL67/XVZvvlEBEHHSoPt4U0TA4ZA1pm56Zto4uVB+3PjpwwkpplynMiEgcynpkWHRYHNfriUZA8MQ5wPpz8MDSHfjBc+vwi6ARWKwQkangJEo61u31RbT1K/AJfbiR1oHjzabn0/taE9FZY2a8+akvlfyeoJUKD5xo9o+GHlTEMJkRn0MQzIzz7vf1yF/6wTSUlRYb7xv02m4f0s2LNuDNTw/jrsvHoUQZjltlyvBi7KtrwtDeeZgxog/+s+kgGlvaMWlIES47c4BtdYwkVDQa6mJstK2alepOmU+aizjaKOgJCThes/2Q0oveEORQj7Wx65Wb6Z+DYkSiR7+qU7+xxfi5Wb3HN/IMF9igNyBKxDyHhzQjnuBPm7FghX/7wWU7ccvM0XGvTzwRcQiiSdMTvuqxVQCAv31zMmZN6B/mqPj02dUeil6vNBxEhBe/Py2g7OaZo2yrl5Z4/yDPGVYU0/FW80fVnYxehIzMCyHFJrcq1iR4RIGfmZmehre3BC6YNKQ4F/uPdffME6ENHRoflHqvTra2G+7//Jp9AIDR/YzF4fnV+0LKEnEtauAEEJuwrtpVhx89vx5EwNfPHYZhcYwejBYxKwWx40joWsvaLJdaDBsFW2tkDaei+DribNO+8/Jxlve99ZLQnpqVWH8AONzQYvlzVFZur8Hh+hYcOKFvBgl3Z/Ts43rJBCNBb4nUC0YH5qK6ZvKQoGPi/+A0aEYJ6sedaOoWh+ClSts6fGLSu0dko+XE/wZ8H6iakiLha3//GHWn2nD0ZBseXr4TP/33RvODEoyMHIK4/h9rQsq+eFb4uQf+RXZ0RhBq5E4sETdGBE+2ciI2elCv0JTcl0dgtlp264VobGlHZnoaxg8owOYD9UhPI2RnpGFk3/yIrmn8gNDJdlYidgDgtpc2Wf4cAGhp78S3n1obdp/ghtfMYbr1UKAJKJrG7ktnDcTKbTVobO3A4foWbNzvc+4++o2zMW5AAT7eHejINfuI+uZ2FORkxPRsaUdv6kjzn5qef5HB/BHDUHHDkVpi1SHaj9PrgLoREYcgGnRsobEM+cruWYb65nZ8Z8ZwdDHjf2aORmGMOXpUxvbvact5nCTYrnzWkF5Rn6t8XF/84eqzUNwjEwRCdqZ1QZ45rh+WbD6EH188Er17ZCE9jXCwvgU9c3w/keBZ4MebzM1QIVYlk8ZkYGEOPj1Qj6WfHcH/6IyCAOCOy8KHID/8tUkAgPI/vouKvcdRoTiCh/bOQ2mfHlizJyiSLEydth1uwOwH/4txAwrw5s3R5/0KCOHV+by87O65IDWaEZzRoNQoAWKiBw6M6ARJL6OAli9PGhRljexFxMECnSY25eA+lfaBqW/2DZ//8aEvfr+kZzZu+txIw4fq6MlW9MnPjiqrqGtwyMRFRP6cTkYY3ffhfXogjYCfXjpG9/2/vbc74PXv3zb+gX/l7EFYvP6A//n40zvbceGYvjhNE6GjV43TSvL9eZC0jk8t3zv/tJAyNSjg3OFhgifUZ9VgANDVxXjk3UoU5mbi9EGFmDS0CGurfMISPKKJFG0j38Uc8h30zMlES3sn7n9rG576sEpTZ/3vyiiaKdFmpTQibKyuD7tP6fwlmDNxIB6aO8lflmkSJJGb5Y5suuJzANDQ0o7XNh40fN8s7bQ65A7+4ekdt7bK13MzepDVYf+itfsNP29Y7zwU98iSLJQRYGYV6WQ2dV5rG6vF6w8Y7jekSBlpsm99iYdXVOLKRz8y1Uwr36eeeeclJT5+tWZUUN8c2LvOVybwBSd4VE03SzYfwh/e2YG7X92CLz/yke+8Fb5n8Csx9mS119XFwKmg8OeN+09g7N1vBQgDAHQZzKVUfRLBJHqxnzQCVmw9Yvj+rtqTAIBXPzmI93bU4tVPDqCzi01FrF/P6Of12ImMHACc+ct3AABj+umbaYwmEhmnz/Ax6TdLQ95T0yxoj7x26lBMPa03fvT8Bv+PeKXOBKBffnE8vjVjOADguwsrcFDjCHVTXplkXJGrizlsmg4zcXnwqxNxhdKI/kMzy/tQvf53xPDZno9ozCgFOeHNjZOGWje5HQ0aeZYqoxZt+dDiPH9D9eMXNgTs39HZ5e8V5+fE1kwEPpqMtcGmLQM27D+OVz85gMaWDlw7dZi/3Ggkr/5MN1WfwO7aU6hvbsd104ZZ8pd8sPMoBhfl+u+TFbqY8ZTOGiYqP3q++56qvszdtaeSplMn4qBh1oP6awAYPYwqRo+ealLScun4fgC6G4qfXjIaPy4fhU3Vvhh3VYjmThnqtxcDwH9+dB7OGFzof51G7slfP3FIr4Ckd1+eFN6040a6usKLA9At6B066UHOHhoacstgfCuM0/pSJVFfz+wMNLZ24K2gsFPAl6fq2XlTkJ2RbjjXJTsjDa0Gvelg3tvRnQMqJzPNsBc78s43/dvFMaYq56CRg9XI7x1HTuLmRb71oWeO6+efKW80klc/50t/+dBfNmNkb4zsG943d/RkK659cjUA8zW3tXRx+Pkaeua4h5bvxE/KR+Gdz4xHHG7pXKWkWammoQWH641DF2dP6I89v70MVQsuR2FuZpiHMbLPzUgj5Cn2RPWUanukmjTU0FA1Eun/fjgdK356YYAwAD57p0u0Aa/cNANVCy73/12iCGAy0cXh50Ro32nSWRRoSHF31Jb6nQZ/P9qXWmE3W2FuZN+eGFKcZ5jE74GvTgTge27NuECTNoVAug1RXpDN2+g5u+uVzSidvyRgdKRHsM9BDV195jtTTOur0hksMDro1TM7w9x+vyxMQx2M1lkcbWoSNQjjJ+XxmXtkFyk5cphy3/Kw7/+kfJR/KJqeRuYjB4P0GTPH9cOyrUfww4tGYFS/fPx5RSU6lffUH6X6OWoOIPWB61QMrkV5WbpD3bQ094wcvEBnF5uajp5ZtRfPrNobUHZOaRF+/oUJAaYLdStctNIGkySL0aCt/40XjcCj7+4CANxwQbcTe9bp/bFk8yH//syhJslJQ3vhw8rukFejp+y5j33hqNXHmzGgMDSkufv4wGgl1ZcQScbazs7ucxiaeTm6GfvzF2+2vK/2Xn3+of9G/Fnac1wxcWBAjqnu96M6re2knDjUNppHAWlnZnZ2MZ77eB9GluRjeEk+MtMJH+8+hl65mdhZczLguFDbJmP8gALcpmRAfWTlLn+jHxw9ovZa1XkRHcqPwag3S0QB4uCS5ylp6TJxSLd3ht7hh+ZOxJyJoc5a9TnQ+oR6RRm+bMUCc1qJr/MwY2T3hLefzR6rm3n3S2cNxEVjSpCRRvjKIz4nuRqVpKIVBiNaNKOnXrnhry145NCh/AbS0wi/v+pMfFh5FLlZ6bjhghH43B/e1T1Hu8Y7bdQpYjD+ExRYYndDazZYmP/5sVjw5raw+6jilkaE6SN66yYRdAMpJw7BybL00E6cUv0Gv/zPZxF/FnNgby49jfyNfvAqcmqCuJsXfYKS/Gy/8BjlBtIzK7lgfZCkpYs5bPoKvR7pRaP1kwKqp9Euz9nZyZZtyWvuKMd1/1gTsIxsOMb2L8CaO8tRkm9tRrHq+FZFbPk2E7OKTgs79u63/Nt6wqkl2CyrNu7paYSry4bg6jLfrG2jmeZA4GjBUBw4MBgA6B61zHt6LZZvq7HsU1iy6RCONLTgO+cN1627ET+4cERYcThjUCH2Kqn209MIz39vKh5evhN/WtqdqE/9hK2HGvDtp9aiqEcWfj1nAs4Jk+ctHqScODyw1DhbYkFOBu7+wviIz5kfnOefu/9pnZwZmhTK6kOrdla1IvD1J1b7t416s25ySCcT33pqLa4pG4xpI3pjV80p/GVlJf730tH49EBDxLOAjRZMChaS3Mx0ny/J4teVnkaWc0Kp9I0y/JEZOH2gz5+1+IfTccfizX5ReuuW8w1NJz1zMvzO2HC2d3UBG5UuZqj+/HAZc/f89jIQEd7echjff3ZdwBohwZ83aWgvbNh3AgyEjOaZgcP1LVhukP57r0Gq9ZueXw8A+PaM0sDV/GL8yW0+UO9PSa5ek1EYvXrvDze04OrHVkXkLLeDlBOH75w3HKs0KQSumzYMc88ZivED9dc5NqO4RxZ6Kz224Ee9iwPt2OnU7b8IdkgbPXRG+WXSiFBV14R3t9egf2EOGls6XGOrdDsvVlQHrCHwh3d8HYZIV7AzEpNdNYENznXTh+Fv7+1G+Z/es3RerTjEMyWK78zsb2x75Wbqrv2t91hdNXmwf15Ch8GEBGYOCZHt6ur2pwVHh/XUhMx2++J8//+78yiYfXNIgjtFXy0bgg37TijhyL7flioYze2duEhjqmLmgGs081H8a+1+zJ0yFC3tnWhobkcXM0b1zceCK89AbWMbnvt4Lz5Q0vuPKLEeBgsAzYpprjJI0KAzUdAJXCMORDQbwEMA0gE8wcwL4vE5l4zvF5ECL7v1Avxp6Q4w+1I7tLR3Ym9dE5rbOnH2sF74/OndeYTUnsBZv37HX6ZND5Gephk5+NdH9j2oegvabPz5pYY9yFPKQ60NlXx900H88ksTLF9bKlHfZJwFVOXsMBlgn7y+LGBlsrOCose09MkPDP1UZ1eHC3vUkpWR5v/e47lYj+qQVj8jIy0tJPySoDqRGbuPnsTlD3+A1XeUB/Tk9ZIvHjjRHJDCWmXV7jr/wkjBz3ZBTiZ233eZbgJCPVPNz2aPxZcnDcLqPb7OHrNvBHXB6D6YPqIPNuz7JGTk097JGH3XG/7XK//3Iv/2haNDF8B6fs0+fOGsgTj9F2/7y8b064nJw3wmnkvH98PK7TUozM3EaSW+3/pT3z7HNO8WAIxQ9n/wqxNxy798Ibuqbt31yqch+59q7cAEpR4LvnIG5k4ZavoZseAKcSCidAB/BXAJgGoAa4noNWaO3NBvMyP79sQj35hsad9NB0Kn0mt7BeoyoKXzl4QkrMtMT8OaO8txtLEN9c3tmDaid9jP0ouT/tWXTrdUz1Qk3NoAAFCUl4m/fG2S4fvl46x3Kr5z3nAU98jCFZMGoW/PbDy3eh/u1vmxG5GXlYHdtb4GNJpssVbp7GIs31bjN7noDVKICA0t7Tjtju4G9eHllX7fGQBcraS2v2hMScha2nocUsLIBxWFRjgFC0NhGGf316cMRWFepr+DNVMZmeVlZYRcyw8uHIHH3tuFqx/7KKBc6wDvk5+N93fUBqztsam6PkAYgMD7lJZGKB8XGLr9uTGBvqjd911meH0AMGfiQL84AL6R2hGd732Cph7BkxzjgSvEAcAUAJXMvBsAiGgRgDkAHBeHSPjL1yZhyaZD/tfDeufh3ivO0N1Xdb5pRaJvzxzLtuPfXXkmbnvZl0k0PzsDL35/WtSmsVRgSHFewmy2/Qpy8P0LR/hff3PqMEw7rTey0tOQlZGGqb8NDaWePaE/ykqL8I1zfTOB9SZQ2k2ww7swLxObfnkpbn95M349xzcC7ezikPBdNU9YMHrC8Nevn+2332t57NrJob46HcpKi/HKTTOQn52OrzzykT8x5ks/mGaYwPKLZw3E/mPdKyj+7qozsXi9z4wYLhfSy+ur8fJ686U6GyL8bsxSsQf7NP68otL/uuKumSi7Z1nIMTd9bmREdYgGt4jDIADaZELVAM51qC5RQ0TY9pvZ/p5F8AQc9Yu+8uzB+MbUoRhRkh+2ZxSOa84ZgmvOGWK+o+AKtCOXNXeWY8aCFbjnitPxs5d9MfafP6N/QFjs//1wOp78YA/+HGY0EyvXTRvmb/jLx/b1RzH99Rtn6+7/8o3TceWj3T3vMwYV+p2rejz+zcnoqUkJ8ty8c3HG4EK0d3ahj8XIKsA3Ax8ANv1ylt8cq21QLxpTgvu+fAYYjAtHl2BwUV6AmfbKswdj6vDeAWuux8LBMBNoVYryMnHcgilTi+ovCTxPVoDzXyUR6fnJDY4PIroawCxm/q7y+psApjDzj4P2uwHADQAwdOjQyXv37g05lyAI9rH0syNoaG7HuacVY3BRHmoaW9Da3oXsjDT0LcjBu4q9fVCvXKypOoZhxT0wdkBPZKSRby5OF2PD/uMYWtwj4qVu48Fdr2zG3romPPWtc9DQ0oHMdEJmehru/L9PQ0YNL984DVc+ugpfmzIEZcOK8eGuo1i8/gBuvWS06ezmh5btxAPLdmDeecMtRUB+tOsoTuuTHzKqVEe7B080Y7riw9l+z2xLM7+NIKJ1zFxmup9LxGEagF8y8yzl9e0AwMy/NTqmrKyMKyoqjN4WBEFwjL+urMTv397uz53mJqyKg1vMSmsBjCKi4QAOAJgL4OvOVkkQBCE65p03HA3N7fiuzvobyYIrxIGZO4joRwDehi+U9R/MvMXhagmCIERFTmY6br/M+vrnbsQV4gAAzPwGgDdMdxQEQRDiTkqm7BYEQRDCI+IgCIIghCDiIAiCIIQg4iAIgiCEIOIgCIIghCDiIAiCIIQg4iAIgiCE4Ir0GdFARLUAok2u1AfAURur40XkHpkj98gcuUfmJPoeDWPm0MUrgkhacYgFIqqwklsklZF7ZI7cI3PkHpnj1nskZiVBEAQhBBEHQRAEIYRUFYfHna5AEiD3yBy5R+bIPTLHlfcoJX0OgiAIQnhSdeQgCIIghCHlxIGIZhPRdiKqJKL5TtcnURDRECJaSURbiWgLEd2slBcT0VIi2qn8L9Icc7tyn7YT0SxN+WQi2qy89zAlYkHbBEJE6US0gYheV17LPdJARL2I6CUi2qY8T9PkHgVCRP+j/M4+JaIXiCgn6e4RM6fMH3wLCe0CcBqALAAbAYx3ul4JuvYBAM5WtnsC2AFgPIDfAZivlM8HcL+yPV65P9kAhiv3LV15bw2AaQAIwJsAPu/09dl8r24F8DyA15XXco8C789CAN9VtrMA9JJ7FHB/BgHYAyBXef0igG8l2z1KtZHDFACVzLybmdsALAIwx+E6JQRmPsTM65XtRgBb4XuI58D3Y4fy/wplew6ARczcysx7AFQCmEJEAwAUMPMq9j29z2iOSXqIaDCAywE8oSmWe6RARAUALgDwJAAwcxszn4Dco2AyAOQSUQaAPAAHkWT3KNXEYRCA/ZrX1UpZSkFEpQAmAVgNoB8zHwJ8AgKgr7Kb0b0apGwHl3uFBwHcBqBLUyb3qJvTANQCeEoxvT1BRD0g98gPMx8A8AcA+wAcAlDPzO8gye5RqomDnr0upcK1iCgfwMsAbmHmhnC76pRxmPKkh4i+AKCGmddZPUSnzNP3CL4e8dkAHmXmSQBOwWciMSLl7pHiS5gDn4loIIAeRHRtuEN0yhy/R6kmDtUAhmheD4ZvuJcSEFEmfMLwT2ZerBQfUYavUP7XKOVG96pa2Q4u9wIzAHyJiKrgMzleTETPQe6RlmoA1cy8Wnn9EnxiIfeom5kA9jBzLTO3A1gMYDqS7B6lmjisBTCKiIYTURaAuQBec7hOCUGJcngSwFZm/pPmrdcAXK9sXw/gVU35XCLKJqLhAEYBWKMMhxuJaKpyzus0xyQ1zHw7Mw9m5lL4no0VzHwt5B75YebDAPYT0RilqBzAZ5B7pGUfgKlElKdcWzl8Pr7kukdOe/YT/QfgMvgidXYBuNPp+iTwus+Db0i6CcAnyt9lAHoDWA5gp/K/WHPMncp92g5NlASAMgCfKu/9BcpkSi/9AbgI3dFKco8C781EABXKs/QKgCK5RyH36FcAtinX9yx8kUhJdY9khrQgCIIQQqqZlQRBEAQLiDgIgiAIIYg4CIIgCCGIOAiCIAghiDgIgiAIIYg4CIIgCCGIOAiCIAghiDgIgiAIIfx/0fkrVHPzGNMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here are some statistics" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-398.194" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "values.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "41541.633" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "values.max()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +1635,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -