{"cells":[{"block_group":"05301af52179473fa5d894f0d2cf565f","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":271.125,"tags":[],"cell_id":"05301af52179473fa5d894f0d2cf565f","deepnote_block_group":"05301af52179473fa5d894f0d2cf565f","deepnote_cell_type":"markdown","deepnote_sorting_key":"0","deepnote_source":"![](./template-cover.jpg)"},"source":"![](./template-cover.jpg)"},{"block_group":"bf3b460953254cdf8cf7b731a8873dda","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":201.59375,"tags":[],"cell_id":"bf3b460953254cdf8cf7b731a8873dda","deepnote_block_group":"bf3b460953254cdf8cf7b731a8873dda","deepnote_cell_type":"markdown","deepnote_sorting_key":"1","deepnote_source":"# Fetch OneDrive files in Deepnote\n\nThis template shows you how to fetch, analyze and visualize files from OneDrive. The easiest way to do this is to share the file to be publicly accessible with a link. We're using this As an example, we're using [this sales pipeline generated with dummy data](https://1drv.ms/x/s!AjP7y6eiYDDSafV7BusEaDHrI0o?e=cL0Fqi). Click \"Run notebook\" at the top of this window to see it in action.\n\n_Want to fetch your own files?_ Follow the next steps at the end of the notebook 👇"},"source":"# Fetch OneDrive files in Deepnote\n\nThis template shows you how to fetch, analyze and visualize files from OneDrive. The easiest way to do this is to share the file to be publicly accessible with a link. We're using this As an example, we're using [this sales pipeline generated with dummy data](https://1drv.ms/x/s!AjP7y6eiYDDSafV7BusEaDHrI0o?e=cL0Fqi). Click \"Run notebook\" at the top of this window to see it in action.\n\n_Want to fetch your own files?_ Follow the next steps at the end of the notebook 👇"},{"block_group":"8762f7cad5b945daa453d2de8e02ab51","cell_type":"code","execution_count":null,"metadata":{"execution_start":1656705227834,"execution_millis":0,"source_hash":"1b603cf0","tags":[],"cell_id":"8762f7cad5b945daa453d2de8e02ab51","deepnote_to_be_reexecuted":false,"deepnote_block_group":"8762f7cad5b945daa453d2de8e02ab51","deepnote_cell_type":"code","deepnote_sorting_key":"2","deepnote_content_hash":"1b603cf0","deepnote_execution_started_at":"2022-07-01T19:53:47.834Z","deepnote_execution_finished_at":"2022-07-01T19:53:47.834Z","deepnote_source":"import pandas as pd\nimport base64"},"outputs":[],"source":"import pandas as pd\nimport base64"},{"block_group":"c3dc4cbdf295441ab959791c87776f70","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":130.796875,"tags":[],"cell_id":"c3dc4cbdf295441ab959791c87776f70","deepnote_block_group":"c3dc4cbdf295441ab959791c87776f70","deepnote_cell_type":"markdown","deepnote_sorting_key":"3","deepnote_source":"## Fetch a file from OneDrive\n\nOneDrive allows us to fetch publicly shared files by taking a share URL and passing it to the [`shares_get` OneDrive API](https://docs.microsoft.com/en-us/onedrive/developer/rest-api/api/shares_get). The function `get_onedrive_download` creates the URL to download any shared file."},"source":"## Fetch a file from OneDrive\n\nOneDrive allows us to fetch publicly shared files by taking a share URL and passing it to the [`shares_get` OneDrive API](https://docs.microsoft.com/en-us/onedrive/developer/rest-api/api/shares_get). The function `get_onedrive_download` creates the URL to download any shared file."},{"block_group":"3cab40c03c894fcd9af4b90e983bbcee","cell_type":"code","execution_count":null,"metadata":{"execution_start":1656705227835,"execution_millis":2,"source_hash":"f25fe75e","tags":[],"cell_id":"3cab40c03c894fcd9af4b90e983bbcee","deepnote_to_be_reexecuted":false,"deepnote_block_group":"3cab40c03c894fcd9af4b90e983bbcee","deepnote_cell_type":"code","deepnote_sorting_key":"4","deepnote_content_hash":"f25fe75e","deepnote_execution_started_at":"2022-07-01T19:53:47.835Z","deepnote_execution_finished_at":"2022-07-01T19:53:47.837Z","deepnote_source":"# Convert a share link to a direct download\n# See https://docs.microsoft.com/en-us/onedrive/developer/rest-api/api/shares_get\ndef get_onedrive_download(share_link):\n    base64_link_bytes = base64.b64encode(bytes(share_link, 'utf-8'))\n    base64_link_string = base64_link_bytes.decode('utf-8').replace('/','_').replace('+','-').rstrip(\"=\")\n    return f\"https://api.onedrive.com/v1.0/shares/u!{base64_link_string}/root/content\"\n\nONEDRIVE_SHARE_LINK = \"https://1drv.ms/x/s!AjP7y6eiYDDSafV7BusEaDHrI0o?e=cL0Fqi\"\n\nget_onedrive_download(ONEDRIVE_SHARE_LINK)"},"outputs":[{"output_type":"execute_result","execution_count":2,"data":{"text/plain":"'https://api.onedrive.com/v1.0/shares/u!aHR0cHM6Ly8xZHJ2Lm1zL3gvcyFBalA3eTZlaVlERFNhZlY3QnVzRWFESHJJMG8_ZT1jTDBGcWk/root/content'"},"metadata":{}}],"source":"# Convert a share link to a direct download\n# See https://docs.microsoft.com/en-us/onedrive/developer/rest-api/api/shares_get\ndef get_onedrive_download(share_link):\n    base64_link_bytes = base64.b64encode(bytes(share_link, 'utf-8'))\n    base64_link_string = base64_link_bytes.decode('utf-8').replace('/','_').replace('+','-').rstrip(\"=\")\n    return f\"https://api.onedrive.com/v1.0/shares/u!{base64_link_string}/root/content\"\n\nONEDRIVE_SHARE_LINK = \"https://1drv.ms/x/s!AjP7y6eiYDDSafV7BusEaDHrI0o?e=cL0Fqi\"\n\nget_onedrive_download(ONEDRIVE_SHARE_LINK)"},{"block_group":"3695ddd6234a4a1a868d60e7bed6d7a7","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":74.796875,"tags":[],"cell_id":"3695ddd6234a4a1a868d60e7bed6d7a7","deepnote_block_group":"3695ddd6234a4a1a868d60e7bed6d7a7","deepnote_cell_type":"markdown","deepnote_sorting_key":"5","deepnote_source":"We then use pandas to read the URL into a dataframe directly. Deepnote summarizes and paginates dataframes automatically. You can filter and sort each column to drill into the data."},"source":"We then use pandas to read the URL into a dataframe directly. Deepnote summarizes and paginates dataframes automatically. You can filter and sort each column to drill into the data."},{"block_group":"abdca7ab56004ae7ae7863240ed784c4","cell_type":"code","execution_count":null,"metadata":{"allow_embed":"output","execution_start":1656705227835,"execution_millis":1937,"source_hash":"5a58390f","tags":[],"cell_id":"abdca7ab56004ae7ae7863240ed784c4","owner_user_id":"fb4d863f-e14b-4cec-a271-8335944bc775","deepnote_to_be_reexecuted":false,"deepnote_block_group":"abdca7ab56004ae7ae7863240ed784c4","deepnote_cell_type":"code","deepnote_sorting_key":"6","deepnote_content_hash":"5a58390f","deepnote_execution_started_at":"2022-07-01T19:53:47.835Z","deepnote_execution_finished_at":"2022-07-01T19:53:49.772Z","deepnote_source":"df = pd.read_excel(get_onedrive_download(ONEDRIVE_SHARE_LINK))\ndf"},"outputs":[{"output_type":"execute_result","execution_count":3,"data":{"application/vnd.deepnote.dataframe.v3+json":{"column_count":4,"row_count":1658,"columns":[{"name":"Name","dtype":"object","stats":{"unique_count":1658,"nan_count":0,"categories":[{"name":"Victor Larson","count":1},{"name":"Consuela Lowery","count":1},{"name":"1656 others","count":1656}]}},{"name":"Status","dtype":"object","stats":{"unique_count":6,"nan_count":0,"categories":[{"name":"Closed","count":445},{"name":"Lead","count":367},{"name":"4 others","count":846}]}},{"name":"Priority","dtype":"object","stats":{"unique_count":3,"nan_count":0,"categories":[{"name":"Medium","count":849},{"name":"Low","count":504},{"name":"High","count":305}]}},{"name":"Estimated Value","dtype":"int64","stats":{"unique_count":73,"nan_count":0,"min":"300","max":"8100","histogram":[{"bin_start":300,"bin_end":1080,"count":483},{"bin_start":1080,"bin_end":1860,"count":346},{"bin_start":1860,"bin_end":2640,"count":446},{"bin_start":2640,"bin_end":3420,"count":88},{"bin_start":3420,"bin_end":4200,"count":53},{"bin_start":4200,"bin_end":4980,"count":67},{"bin_start":4980,"bin_end":5760,"count":93},{"bin_start":5760,"bin_end":6540,"count":65},{"bin_start":6540,"bin_end":7320,"count":11},{"bin_start":7320,"bin_end":8100,"count":6}]}},{"name":"_deepnote_index_column","dtype":"int64"}],"rows":[{"Name":"Victor Larson","Status":"Closed","Priority":"Low","Estimated Value":900,"_deepnote_index_column":0},{"Name":"Consuela Lowery","Status":"Lead","Priority":"Medium","Estimated Value":2500,"_deepnote_index_column":1},{"Name":"Chanelle Klein","Status":"Proposal","Priority":"Medium","Estimated Value":1800,"_deepnote_index_column":2},{"Name":"Gregg Harper","Status":"Closed","Priority":"High","Estimated Value":3500,"_deepnote_index_column":3},{"Name":"Walter Hobbs","Status":"Lead","Priority":"Low","Estimated Value":800,"_deepnote_index_column":4},{"Name":"Zada Cohen","Status":"Lead","Priority":"Medium","Estimated Value":1700,"_deepnote_index_column":5},{"Name":"Gary Ford","Status":"Qualified","Priority":"Low","Estimated Value":600,"_deepnote_index_column":6},{"Name":"Hunter Becker","Status":"Qualified","Priority":"Medium","Estimated Value":2800,"_deepnote_index_column":7},{"Name":"Shelton Bender","Status":"Lead","Priority":"Low","Estimated Value":800,"_deepnote_index_column":8},{"Name":"Billie Bauer","Status":"Qualified","Priority":"Low","Estimated Value":600,"_deepnote_index_column":9}]},"text/plain":"                  Name     Status Priority  Estimated Value\n0        Victor Larson     Closed      Low              900\n1      Consuela Lowery       Lead   Medium             2500\n2       Chanelle Klein   Proposal   Medium             1800\n3         Gregg Harper     Closed     High             3500\n4         Walter Hobbs       Lead      Low              800\n...                ...        ...      ...              ...\n1653    Darron Buckley       Lead   Medium             2100\n1654  Hunter Robertson     Closed   Medium             1800\n1655       Clint Foley     Closed   Medium             1600\n1656     Jonathan Best  Qualified   Medium             2200\n1657      Emile Kramer  Qualified      Low             1100\n\n[1658 rows x 4 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Name</th>\n      <th>Status</th>\n      <th>Priority</th>\n      <th>Estimated Value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Victor Larson</td>\n      <td>Closed</td>\n      <td>Low</td>\n      <td>900</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Consuela Lowery</td>\n      <td>Lead</td>\n      <td>Medium</td>\n      <td>2500</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Chanelle Klein</td>\n      <td>Proposal</td>\n      <td>Medium</td>\n      <td>1800</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Gregg Harper</td>\n      <td>Closed</td>\n      <td>High</td>\n      <td>3500</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Walter Hobbs</td>\n      <td>Lead</td>\n      <td>Low</td>\n      <td>800</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1653</th>\n      <td>Darron Buckley</td>\n      <td>Lead</td>\n      <td>Medium</td>\n      <td>2100</td>\n    </tr>\n    <tr>\n      <th>1654</th>\n      <td>Hunter Robertson</td>\n      <td>Closed</td>\n      <td>Medium</td>\n      <td>1800</td>\n    </tr>\n    <tr>\n      <th>1655</th>\n      <td>Clint Foley</td>\n      <td>Closed</td>\n      <td>Medium</td>\n      <td>1600</td>\n    </tr>\n    <tr>\n      <th>1656</th>\n      <td>Jonathan Best</td>\n      <td>Qualified</td>\n      <td>Medium</td>\n      <td>2200</td>\n    </tr>\n    <tr>\n      <th>1657</th>\n      <td>Emile Kramer</td>\n      <td>Qualified</td>\n      <td>Low</td>\n      <td>1100</td>\n    </tr>\n  </tbody>\n</table>\n<p>1658 rows × 4 columns</p>\n</div>"},"metadata":{}}],"source":"df = pd.read_excel(get_onedrive_download(ONEDRIVE_SHARE_LINK))\ndf"},{"block_group":"83d98685e4734b61a9308011e2966e60","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":130.796875,"tags":[],"cell_id":"83d98685e4734b61a9308011e2966e60","deepnote_block_group":"83d98685e4734b61a9308011e2966e60","deepnote_cell_type":"markdown","deepnote_sorting_key":"7","deepnote_source":"## Analyze data with SQL\n\nWe can run queries against our dataframe using Deepnote's built-in SQL. [You can learn more about SQL blocks on our docs](https://docs.deepnote.com/features/sql-cells)."},"source":"## Analyze data with SQL\n\nWe can run queries against our dataframe using Deepnote's built-in SQL. [You can learn more about SQL blocks on our docs](https://docs.deepnote.com/features/sql-cells)."},{"block_group":"f0c9102e2ad94570ab3e02b9a9f9af6e","cell_type":"code","execution_count":null,"metadata":{"execution_start":1656705229593,"execution_millis":666,"source_hash":"9af2ada8","deepnote_variable_name":"filtered_df","sql_integration_id":"deepnote-dataframe-sql","tags":[],"cell_id":"f0c9102e2ad94570ab3e02b9a9f9af6e","deepnote_sql_source":"SELECT \n  \"Estimated Value\",\n  \"Priority\",\n  \"Status\"\nFROM \n  df\nWHERE\n  NOT (\"Status\" = 'Closed' OR \"Status\" = 'Lost')","deepnote_to_be_reexecuted":false,"deepnote_block_group":"f0c9102e2ad94570ab3e02b9a9f9af6e","deepnote_cell_type":"sql","deepnote_sorting_key":"8","deepnote_content_hash":"9af2ada8","deepnote_execution_started_at":"2022-07-01T19:53:49.593Z","deepnote_execution_finished_at":"2022-07-01T19:53:50.259Z","deepnote_source":"SELECT \n  \"Estimated Value\",\n  \"Priority\",\n  \"Status\"\nFROM \n  df\nWHERE\n  NOT (\"Status\" = 'Closed' OR \"Status\" = 'Lost')"},"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"application/vnd.deepnote.dataframe.v3+json":{"column_count":3,"row_count":1053,"columns":[{"name":"Estimated Value","dtype":"int64","stats":{"unique_count":69,"nan_count":0,"min":"300","max":"8100","histogram":[{"bin_start":300,"bin_end":1080,"count":386},{"bin_start":1080,"bin_end":1860,"count":208},{"bin_start":1860,"bin_end":2640,"count":266},{"bin_start":2640,"bin_end":3420,"count":45},{"bin_start":3420,"bin_end":4200,"count":31},{"bin_start":4200,"bin_end":4980,"count":34},{"bin_start":4980,"bin_end":5760,"count":46},{"bin_start":5760,"bin_end":6540,"count":26},{"bin_start":6540,"bin_end":7320,"count":7},{"bin_start":7320,"bin_end":8100,"count":4}]}},{"name":"Priority","dtype":"object","stats":{"unique_count":3,"nan_count":0,"categories":[{"name":"Medium","count":497},{"name":"Low","count":406},{"name":"High","count":150}]}},{"name":"Status","dtype":"object","stats":{"unique_count":4,"nan_count":0,"categories":[{"name":"Lead","count":367},{"name":"Qualified","count":291},{"name":"2 others","count":395}]}},{"name":"_deepnote_index_column","dtype":"int64"}],"rows":[{"Estimated Value":2500,"Priority":"Medium","Status":"Lead","_deepnote_index_column":0},{"Estimated Value":1800,"Priority":"Medium","Status":"Proposal","_deepnote_index_column":1},{"Estimated Value":800,"Priority":"Low","Status":"Lead","_deepnote_index_column":2},{"Estimated Value":1700,"Priority":"Medium","Status":"Lead","_deepnote_index_column":3},{"Estimated Value":600,"Priority":"Low","Status":"Qualified","_deepnote_index_column":4},{"Estimated Value":2800,"Priority":"Medium","Status":"Qualified","_deepnote_index_column":5},{"Estimated Value":800,"Priority":"Low","Status":"Lead","_deepnote_index_column":6},{"Estimated Value":600,"Priority":"Low","Status":"Qualified","_deepnote_index_column":7},{"Estimated Value":1100,"Priority":"Low","Status":"Lead","_deepnote_index_column":8},{"Estimated Value":900,"Priority":"Low","Status":"Proposal","_deepnote_index_column":9}]},"text/plain":"      Estimated Value Priority       Status\n0                2500   Medium         Lead\n1                1800   Medium     Proposal\n2                 800      Low         Lead\n3                1700   Medium         Lead\n4                 600      Low    Qualified\n...               ...      ...          ...\n1048             2200   Medium    Qualified\n1049             2200   Medium  Negotiation\n1050             2100   Medium         Lead\n1051             2200   Medium    Qualified\n1052             1100      Low    Qualified\n\n[1053 rows x 3 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Estimated Value</th>\n      <th>Priority</th>\n      <th>Status</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2500</td>\n      <td>Medium</td>\n      <td>Lead</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1800</td>\n      <td>Medium</td>\n      <td>Proposal</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>800</td>\n      <td>Low</td>\n      <td>Lead</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1700</td>\n      <td>Medium</td>\n      <td>Lead</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>600</td>\n      <td>Low</td>\n      <td>Qualified</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1048</th>\n      <td>2200</td>\n      <td>Medium</td>\n      <td>Qualified</td>\n    </tr>\n    <tr>\n      <th>1049</th>\n      <td>2200</td>\n      <td>Medium</td>\n      <td>Negotiation</td>\n    </tr>\n    <tr>\n      <th>1050</th>\n      <td>2100</td>\n      <td>Medium</td>\n      <td>Lead</td>\n    </tr>\n    <tr>\n      <th>1051</th>\n      <td>2200</td>\n      <td>Medium</td>\n      <td>Qualified</td>\n    </tr>\n    <tr>\n      <th>1052</th>\n      <td>1100</td>\n      <td>Low</td>\n      <td>Qualified</td>\n    </tr>\n  </tbody>\n</table>\n<p>1053 rows × 3 columns</p>\n</div>"},"metadata":{}}],"source":"if '_dntk' in globals():\n  _dntk.dataframe_utils.configure_dataframe_formatter('{}')\nelse:\n  _deepnote_current_table_attrs = '{}'\n\nfiltered_df = _dntk.execute_sql(\n  'SELECT \\n  \"Estimated Value\",\\n  \"Priority\",\\n  \"Status\"\\nFROM \\n  df\\nWHERE\\n  NOT (\"Status\" = \\'Closed\\' OR \"Status\" = \\'Lost\\')',\n  'SQL_DEEPNOTE_DATAFRAME_SQL',\n  audit_sql_comment='',\n  sql_cache_mode='cache_disabled',\n  return_variable_type='dataframe'\n)\nfiltered_df"},{"block_group":"4a381d93bd0d43b399215b0bc9b40ad8","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":144.796875,"tags":[],"cell_id":"4a381d93bd0d43b399215b0bc9b40ad8","deepnote_block_group":"4a381d93bd0d43b399215b0bc9b40ad8","deepnote_cell_type":"markdown","deepnote_sorting_key":"9","deepnote_source":"## Visualize data\n\nDeepnote can visualize dataframes out-of-the-box. [You can learn more about chart blocks on our docs](https://docs.deepnote.com/features/chart-blocks).\n\nIf you want to do something more sophisticated, you can use visualization libraries like [Altair](https://deepnote.com/@allan-campopiano/Altair-42-8dafcd3e-bdad-45e9-b2ab-3572581ed41b) or [Plotly](https://deepnote.com/@deepnote/3D-network-visualisations-using-plotly-a18c5e37-a517-4b27-bfde-1fee94a5760f)."},"source":"## Visualize data\n\nDeepnote can visualize dataframes out-of-the-box. [You can learn more about chart blocks on our docs](https://docs.deepnote.com/features/chart-blocks).\n\nIf you want to do something more sophisticated, you can use visualization libraries like [Altair](https://deepnote.com/@allan-campopiano/Altair-42-8dafcd3e-bdad-45e9-b2ab-3572581ed41b) or [Plotly](https://deepnote.com/@deepnote/3D-network-visualisations-using-plotly-a18c5e37-a517-4b27-bfde-1fee94a5760f)."},{"block_group":"e5314e4571624d608d43b893d51510b0","cell_type":"code","execution_count":null,"metadata":{"execution_start":1656705229943,"execution_millis":348,"source_hash":"c5482e00","deepnote_variable_name":"filtered_df","deepnote_visualization_spec":{"data":{"name":"placeholder"},"mark":{"type":"bar","tooltip":true},"height":220,"$schema":"https://vega.github.io/schema/vega-lite/v4.json","autosize":{"type":"fit"},"encoding":{"x":{"bin":true,"sort":null,"type":"quantitative","field":"Estimated Value","scale":{"type":"linear","zero":false}},"y":{"sort":null,"type":"quantitative","field":"COUNT(*)","scale":{"type":"linear","zero":true},"aggregate":"count"},"color":{"sort":null,"type":"nominal","field":"Priority","scale":{"type":"linear","zero":false}}}},"cell_id":"e5314e4571624d608d43b893d51510b0","deepnote_to_be_reexecuted":false,"deepnote_block_group":"e5314e4571624d608d43b893d51510b0","deepnote_cell_type":"visualization","deepnote_sorting_key":"10","deepnote_content_hash":"c5482e00","deepnote_execution_started_at":"2022-07-01T19:53:49.943Z","deepnote_execution_finished_at":"2022-07-01T19:53:50.291Z","deepnote_source":""},"outputs":[{"output_type":"execute_result","execution_count":5,"data":{"text/html":"\n<div id=\"altair-viz-50727ae1c10249cf8e7809fe8dd95da8\"></div>\n<script type=\"text/javascript\">\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-50727ae1c10249cf8e7809fe8dd95da8\") {\n      outputDiv = document.getElementById(\"altair-viz-50727ae1c10249cf8e7809fe8dd95da8\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function loadScript(lib) {\n      return new Promise(function(resolve, reject) {\n        var s = document.createElement('script');\n        s.src = paths[lib];\n        s.async = true;\n        s.onload = () => resolve(paths[lib]);\n        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n        document.getElementsByTagName(\"head\")[0].appendChild(s);\n      });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. 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Value\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"sort\":null,\"type\":\"quantitative\",\"field\":\"COUNT(*)\",\"scale\":{\"type\":\"linear\",\"zero\":true},\"aggregate\":\"count\"},\"color\":{\"sort\":null,\"type\":\"nominal\",\"field\":\"Priority\",\"scale\":{\"type\":\"linear\",\"zero\":false}}}}', filters='[]')"},{"block_group":"9c7121d8eeb64ae4aeaefc727bef4d87","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":285.78125,"tags":[],"cell_id":"9c7121d8eeb64ae4aeaefc727bef4d87","deepnote_block_group":"9c7121d8eeb64ae4aeaefc727bef4d87","deepnote_cell_type":"markdown","deepnote_sorting_key":"11","deepnote_source":"### Next steps\n\nRather than use our data, you can fetch your own.\n\n1. **Create a share link to your file**. [Follow these instructions](https://support.microsoft.com/en-us/office/create-a-shareable-link-8257f6da-d5db-4207-a654-925644e3f35c) and make sure anyone with the link can at least **read** the file.\n1. **Change `ONEDRIVE_SHARE_LINK` to your share link**.\n1. **Click the \"Run notebook\" button at the top of this window**. All of your new code will run from top to bottom.\n1. **Share your notebook with your team**. You can even turn your charts [into a shareable dashboard](https://docs.deepnote.com/collaboration/publishing-a-notebook).\n\n_Want to know more about using Deepnote?_ [Check out or docs](https://docs.deepnote.com/).\n\nYou can safely delete this block (and any text block) once you're done with it."},"source":"### Next steps\n\nRather than use our data, you can fetch your own.\n\n1. **Create a share link to your file**. [Follow these instructions](https://support.microsoft.com/en-us/office/create-a-shareable-link-8257f6da-d5db-4207-a654-925644e3f35c) and make sure anyone with the link can at least **read** the file.\n1. **Change `ONEDRIVE_SHARE_LINK` to your share link**.\n1. **Click the \"Run notebook\" button at the top of this window**. All of your new code will run from top to bottom.\n1. **Share your notebook with your team**. You can even turn your charts [into a shareable dashboard](https://docs.deepnote.com/collaboration/publishing-a-notebook).\n\n_Want to know more about using Deepnote?_ [Check out or docs](https://docs.deepnote.com/).\n\nYou can safely delete this block (and any text block) once you're done with it."},{"block_group":"5e56f132b8284c408a24bde121f7546c","cell_type":"markdown","execution_count":null,"metadata":{"deepnote_cell_height":46,"tags":[],"cell_id":"5e56f132b8284c408a24bde121f7546c","owner_user_id":"865d966b-ed7a-4cb4-ba8d-890b4f98aa7e","deepnote_block_group":"5e56f132b8284c408a24bde121f7546c","deepnote_cell_type":"markdown","deepnote_sorting_key":"12","deepnote_source":""},"source":""},{"cell_type":"markdown","source":"<a style='text-decoration:none;line-height:16px;display:flex;color:#5B5B62;padding:10px;justify-content:end;' href='https://deepnote.com?utm_source=created-in-deepnote-cell&projectId=7c6d212e-b26d-48ca-a3d0-fcd63f888999' target=\"_blank\">\n<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' />\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>","metadata":{"created_in_deepnote_cell":true,"deepnote_cell_type":"markdown"}}],"metadata":{"deepnote_notebook_id":"858a28af459b43a4a736faf3e326ea35","deepnote_notebook_name":"notebook"},"nbformat":4,"nbformat_minor":0}