{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## Crypto Leaderboard on 2020/02/18\n\nIs it just random?","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\ndf = pd.read_csv('../input/leaderboardcrypto20220218/g-research-crypto-forecasting-publicleaderboard.csv')","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-02-18T13:37:57.242795Z","iopub.execute_input":"2022-02-18T13:37:57.243427Z","iopub.status.idle":"2022-02-18T13:37:57.286747Z","shell.execute_reply.started":"2022-02-18T13:37:57.243305Z","shell.execute_reply":"2022-02-18T13:37:57.286068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df.head()","metadata":{"execution":{"iopub.status.busy":"2022-02-18T13:38:04.618462Z","iopub.execute_input":"2022-02-18T13:38:04.619289Z","iopub.status.idle":"2022-02-18T13:38:04.643247Z","shell.execute_reply.started":"2022-02-18T13:38:04.619233Z","shell.execute_reply":"2022-02-18T13:38:04.642002Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Invalid scores\n\nThere are others (like me) who directly got an error and we dissapeared from the competition. ","metadata":{}},{"cell_type":"code","source":"df.query('Score == -1')","metadata":{"execution":{"iopub.status.busy":"2022-02-18T13:38:28.845978Z","iopub.execute_input":"2022-02-18T13:38:28.846270Z","iopub.status.idle":"2022-02-18T13:38:28.870531Z","shell.execute_reply.started":"2022-02-18T13:38:28.846234Z","shell.execute_reply":"2022-02-18T13:38:28.869764Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import seaborn as sns\nimport matplotlib.pyplot as plt\n\nsns.set(rc={'figure.figsize':(11.7,8.27)})\n\nsns.histplot(data=df.query('Score != -1'), x='Score', kde=True)\nplt.title('Scores distribution')","metadata":{"execution":{"iopub.status.busy":"2022-02-18T13:41:54.332390Z","iopub.execute_input":"2022-02-18T13:41:54.332716Z","iopub.status.idle":"2022-02-18T13:41:54.816084Z","shell.execute_reply.started":"2022-02-18T13:41:54.332678Z","shell.execute_reply":"2022-02-18T13:41:54.815433Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Looks like a matter of luck. If you are lucky enough to not get an error? I'd love to know your opinion.","metadata":{}}]}