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並前往https://notebooks.githubusercontent.com/view/ipynb?browser=chrome&color_mode=auto&commit=7260ccfbb02cf3958cf39daee433786aa25e7cf7&device=unknown&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2f73656261737469616e6269726b2f637573746f6d65722d636875726e2d70726564696374696f6e2d617a7572652d6d6c2f373236306363666262303263663339353863663339646165653433333738366161323565376366372f30315f637573746f6d65725f636875726e5f6578706c6f7261746976655f646174615f616e616c797369732e6970796e62&logged_in=false&nwo=sebastianbirk%2Fcustomer-churn-prediction-azure-ml&path=01_customer_churn_explorative_data_analysis.ipynb&platform=android&repository_id=238183215&repository_type=Repository&version=96

Azure ML Setup - Notebooks

... plotly.offline as py import plotly.graph_objs as go import plotly.tools as ... image_path = "outputs/churn_proportion.png" fig.write_image(image_path) ...

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