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alvi15tooba
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Update app.py
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app.py
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import pandas as pd
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import pygwalker as pyg
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import gradio as gr
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df = pd.read_csv("
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# Define a function to create the dashboard
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'''def create_dashboard():
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df = pd.read_csv("C:\\Users\\tooba.alvi\\OneDrive - Aga Khan University\\Documents\\GitHub\\PyG Walker\\WorldBank.csv", encoding= "utf-8")
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pyg.walk(df)
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return pyg.get_html()
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'''
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def display_data():
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df = pd.read_csv("C:\\Users\\tooba.alvi\\OneDrive - Aga Khan University\\Documents\\GitHub\\PyG Walker\\WorldBank.csv", encoding= "utf-8")
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df=pd.DataFrame(df)
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pyg.walk(df)
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pyg_html = pyg.to_html(df)
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vis_spec=r"""{"config":[{"config":{"defaultAggregated":true,"geoms":["auto"],"coordSystem":"generic","limit":-1,"timezoneDisplayOffset":0},"encodings":{"dimensions":[{"fid":"Year","name":"Year","basename":"Year","analyticType":"dimension","semanticType":"ordinal","aggName":"sum","offset":0},{"fid":"Country Name","name":"Country Name","basename":"Country Name","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"Country Code","name":"Country Code","basename":"Country Code","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"Region","name":"Region","basename":"Region","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"gw_mea_key_fid","name":"Measure names","analyticType":"dimension","semanticType":"nominal"}],"measures":[{"fid":"Birth rate, crude (per 1,000 people)","name":"Birth rate, crude (per 1,000 people)","basename":"Birth rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Death rate, crude (per 1,000 people)","name":"Death rate, crude (per 1,000 people)","basename":"Death rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Electric power consumption (kWh per capita)","name":"Electric power consumption (kWh per capita)","basename":"Electric power consumption (kWh per capita)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"GDP (USD)","name":"GDP (USD)","basename":"GDP (USD)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"GDP per capita (USD)","name":"GDP per capita (USD)","basename":"GDP per capita (USD)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Individuals using the Internet (% of population)","name":"Individuals using the Internet (% of population)","basename":"Individuals using the Internet (% of population)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Infant mortality rate (per 1,000 live births)","name":"Infant mortality rate (per 1,000 live births)","basename":"Infant mortality rate (per 1,000 live births)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Life expectancy at birth (years)","name":"Life expectancy at birth (years)","basename":"Life expectancy at birth (years)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Population density (people per sq. km of land area)","name":"Population density (people per sq. km of land area)","basename":"Population density (people per sq. km of land area)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Unemployment (% of total labor force) (modeled ILO estimate)","name":"Unemployment (% of total labor force) (modeled ILO estimate)","basename":"Unemployment (% of total labor force) (modeled ILO estimate)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"gw_count_fid","name":"Row count","analyticType":"measure","semanticType":"quantitative","aggName":"sum","computed":true,"expression":{"op":"one","params":[],"as":"gw_count_fid"}},{"fid":"gw_mea_val_fid","name":"Measure values","analyticType":"measure","semanticType":"quantitative","aggName":"sum"}],"rows":[{"fid":"Birth rate, crude (per 1,000 people)","name":"Birth rate, crude (per 1,000 people)","basename":"Birth rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"mean","offset":0}],"columns":[{"fid":"Year","name":"Year","basename":"Year","analyticType":"dimension","semanticType":"ordinal","aggName":"sum","offset":0}],"color":[{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0}],"opacity":[],"size":[],"shape":[],"radius":[],"theta":[],"longitude":[],"latitude":[],"geoId":[],"details":[],"filters":[{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0,"rule":null}],"text":[]},"layout":{"showActions":false,"showTableSummary":false,"stack":"stack","interactiveScale":false,"zeroScale":true,"size":{"mode":"auto","width":320,"height":200},"format":{},"geoKey":"name","resolve":{"x":false,"y":false,"color":false,"opacity":false,"shape":false,"size":false}},"visId":"gw_DGUp","name":"Chart 1"}],"chart_map":{},"workflow_list":[{"workflow":[{"type":"view","query":[{"op":"aggregate","groupBy":["Year","IncomeGroup"],"measures":[{"field":"Birth rate, crude (per 1,000 people)","agg":"mean","asFieldKey":"Birth rate, crude (per 1,000 people)_mean"}]}]}]}],"version":"0.4.8.10"}"""
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return pyg_html
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# Create a Gradio interface
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interface = gr.Interface(fn=display_data,
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inputs=[],
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outputs="html",
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title="My Dashboard with PyG Walker")
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# Launch the interface
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interface.launch()
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import pandas as pd
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import pygwalker as pyg
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import gradio as gr
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df = pd.read_csv("WorldBank.csv", encoding= "utf-8")
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# Define a function to create the dashboard
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'''def create_dashboard():
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df = pd.read_csv("C:\\Users\\tooba.alvi\\OneDrive - Aga Khan University\\Documents\\GitHub\\PyG Walker\\WorldBank.csv", encoding= "utf-8")
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pyg.walk(df)
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return pyg.get_html()
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'''
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def display_data():
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df = pd.read_csv("C:\\Users\\tooba.alvi\\OneDrive - Aga Khan University\\Documents\\GitHub\\PyG Walker\\WorldBank.csv", encoding= "utf-8")
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df=pd.DataFrame(df)
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pyg.walk(df)
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pyg_html = pyg.to_html(df)
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vis_spec=r"""{"config":[{"config":{"defaultAggregated":true,"geoms":["auto"],"coordSystem":"generic","limit":-1,"timezoneDisplayOffset":0},"encodings":{"dimensions":[{"fid":"Year","name":"Year","basename":"Year","analyticType":"dimension","semanticType":"ordinal","aggName":"sum","offset":0},{"fid":"Country Name","name":"Country Name","basename":"Country Name","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"Country Code","name":"Country Code","basename":"Country Code","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"Region","name":"Region","basename":"Region","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0},{"fid":"gw_mea_key_fid","name":"Measure names","analyticType":"dimension","semanticType":"nominal"}],"measures":[{"fid":"Birth rate, crude (per 1,000 people)","name":"Birth rate, crude (per 1,000 people)","basename":"Birth rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Death rate, crude (per 1,000 people)","name":"Death rate, crude (per 1,000 people)","basename":"Death rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Electric power consumption (kWh per capita)","name":"Electric power consumption (kWh per capita)","basename":"Electric power consumption (kWh per capita)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"GDP (USD)","name":"GDP (USD)","basename":"GDP (USD)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"GDP per capita (USD)","name":"GDP per capita (USD)","basename":"GDP per capita (USD)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Individuals using the Internet (% of population)","name":"Individuals using the Internet (% of population)","basename":"Individuals using the Internet (% of population)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Infant mortality rate (per 1,000 live births)","name":"Infant mortality rate (per 1,000 live births)","basename":"Infant mortality rate (per 1,000 live births)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Life expectancy at birth (years)","name":"Life expectancy at birth (years)","basename":"Life expectancy at birth (years)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Population density (people per sq. km of land area)","name":"Population density (people per sq. km of land area)","basename":"Population density (people per sq. km of land area)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"Unemployment (% of total labor force) (modeled ILO estimate)","name":"Unemployment (% of total labor force) (modeled ILO estimate)","basename":"Unemployment (% of total labor force) (modeled ILO estimate)","analyticType":"measure","semanticType":"quantitative","aggName":"sum","offset":0},{"fid":"gw_count_fid","name":"Row count","analyticType":"measure","semanticType":"quantitative","aggName":"sum","computed":true,"expression":{"op":"one","params":[],"as":"gw_count_fid"}},{"fid":"gw_mea_val_fid","name":"Measure values","analyticType":"measure","semanticType":"quantitative","aggName":"sum"}],"rows":[{"fid":"Birth rate, crude (per 1,000 people)","name":"Birth rate, crude (per 1,000 people)","basename":"Birth rate, crude (per 1,000 people)","analyticType":"measure","semanticType":"quantitative","aggName":"mean","offset":0}],"columns":[{"fid":"Year","name":"Year","basename":"Year","analyticType":"dimension","semanticType":"ordinal","aggName":"sum","offset":0}],"color":[{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0}],"opacity":[],"size":[],"shape":[],"radius":[],"theta":[],"longitude":[],"latitude":[],"geoId":[],"details":[],"filters":[{"fid":"IncomeGroup","name":"IncomeGroup","basename":"IncomeGroup","semanticType":"nominal","analyticType":"dimension","offset":0,"rule":null}],"text":[]},"layout":{"showActions":false,"showTableSummary":false,"stack":"stack","interactiveScale":false,"zeroScale":true,"size":{"mode":"auto","width":320,"height":200},"format":{},"geoKey":"name","resolve":{"x":false,"y":false,"color":false,"opacity":false,"shape":false,"size":false}},"visId":"gw_DGUp","name":"Chart 1"}],"chart_map":{},"workflow_list":[{"workflow":[{"type":"view","query":[{"op":"aggregate","groupBy":["Year","IncomeGroup"],"measures":[{"field":"Birth rate, crude (per 1,000 people)","agg":"mean","asFieldKey":"Birth rate, crude (per 1,000 people)_mean"}]}]}]}],"version":"0.4.8.10"}"""
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return pyg_html
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# Create a Gradio interface
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interface = gr.Interface(fn=display_data,
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inputs=[],
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outputs="html",
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title="My Dashboard with PyG Walker")
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# Launch the interface
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interface.launch()
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