{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom scipy.stats import skew \n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"## Data understanding\ndf_2018_Cities_Disclosing_to_CDP = pd.read_csv(\"../input/cdp-unlocking-climate-solutions/Cities/Cities Disclosing/2018_Cities_Disclosing_to_CDP.csv\")\ndf_2018_Cities_Disclosing_to_CDP.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"barplot_2018_Cities_Disclosing_to_CDP_Population = df_2018_Cities_Disclosing_to_CDP['Population']\nprint(barplot_2018_Cities_Disclosing_to_CDP_Population)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"data_description = barplot_2018_Cities_Disclosing_to_CDP_Population.describe()\nprint(data_description)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#plotting bar graph\nsns.set_style(\"whitegrid\")\ny = df_2018_Cities_Disclosing_to_CDP['Organization']\nx = barplot_2018_Cities_Disclosing_to_CDP_Population\nsns.barplot(x = x, y = y)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#distribution\n#xd = pd.Series(x, name=y)\nax = sns.distplot(x)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Distribution plot with a limit\n\nfig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15,4))\nplt.subplots_adjust(wspace=0.5, hspace=0.5)\n\nsns.distplot((barplot_2018_Cities_Disclosing_to_CDP_Population>=0) & (barplot_2018_Cities_Disclosing_to_CDP_Population<=10000), kde=False, ax=axes[0], axlabel='Population')\nsns.distplot((barplot_2018_Cities_Disclosing_to_CDP_Population>=0) & (barplot_2018_Cities_Disclosing_to_CDP_Population<=100000), kde=False, ax=axes[0], axlabel='Population')\nsns.distplot((barplot_2018_Cities_Disclosing_to_CDP_Population>=0) & (barplot_2018_Cities_Disclosing_to_CDP_Population<=1000000), kde=False, ax=axes[0], axlabel='Population')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Measure Skewness\nskewValue = x.skew()\nprint(skewValue)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pd.read_csv(\"../input/cdp-unlocking-climate-solutions/Cities/Cities Disclosing/2018_Cities_Disclosing_to_CDP.csv\").to_csv(\"My_output.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}