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Added code for Waterfall,Funnel,Ternary and Contour Plots
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‎Data-Visualization/Contour Plots/contour_plot.py‎

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import plotly.graph_objects as go
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import numpy as np
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# X , Y , Z cordinates
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x_cord = np.arange(0, 50, 2)
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y_cord = np.arange(0, 50, 2)
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z_function = np.sin((x_cord + y_cord)/2)
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fig = go.Figure(data=go.Contour(x=x_cord,
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y=y_cord,
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z=z_function,
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colorscale='darkmint',
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contours=dict(
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showlabels=False, # show labels on contours
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labelfont=dict( # label font properties
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size=12,
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color='white',
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)
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),
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colorbar=dict(
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thickness=25,
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thicknessmode='pixels',
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len=1.0,
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lenmode='fraction',
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outlinewidth=0,
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title='Title',
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titleside='right',
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titlefont=dict(
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size=14,
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family='Arial, sans-serif')
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),
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)
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)
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fig.update_layout(
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title='Contour Plot',
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xaxis_title='X Axis Title',
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yaxis_title='Y Axis Title',
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autosize=False,
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width=900,
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height=600,
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margin=dict(l=50, r=50, b=100, t=100, pad=4)
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)
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fig.show()

‎Data-Visualization/Contour Plots/contourplot.png‎

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‎Data-Visualization/FunnelChart/FunnelChart.png‎

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‎Data-Visualization/FunnelChart/FunnelCharts.py‎

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from plotly import graph_objects as go
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fig = go.Figure()
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fig.add_trace(go.Funnel(
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name = 'India',
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y = ["McDonalds", "Dominoz", "PizzaHut", "Subway" , "MadOverDonuts" , "Keventers"],
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x = [150, 140, 40, 50, 40 , 20],
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textposition = "inside",
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textinfo = "value+percent initial"))
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fig.add_trace(go.Funnel(
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name = 'Bangladesh',
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orientation = "h",
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y = ["McDonalds", "Dominoz", "PizzaHut", "Subway"],
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x = [50, 60, 40, 30],
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textposition = "inside",
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textinfo = "value+percent previous"))
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fig.add_trace(go.Funnel(
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name = 'SriLanka',
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orientation = "h",
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y = ["McDonalds", "Dominoz", "PizzaHut", "Subway" ,"MadOverDonuts" ],
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x = [90, 70, 50, 30, 10],
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textposition = "outside",
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textinfo = "value+percent total"))
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fig.update_layout(
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title = "Funnel Chart for Food Sales in Asian Countries",
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showlegend = True
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)
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fig.show()

‎Data-Visualization/README.md‎

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# Author
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[Elita Menezes](https://github.com/ELITA04/)
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## 8. Contour Plot
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[![contourplot.png](https://i.postimg.cc/q7w2RdBT/contourplot.png)](https://postimg.cc/v114qk6q)
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## 9. Ternary Plot
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[![ternaryplot.png](https://i.postimg.cc/2SpQ9w9P/ternaryplot.png)](https://postimg.cc/crmtrQSm)
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## 10. Waterfall Chart
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[![Water-Fall.png](https://i.postimg.cc/nznTRkrH/Water-Fall.png)](https://postimg.cc/mc6Qh77q)
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## 11. Funnel Chart
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[![Funnel-Chart.png](https://i.postimg.cc/bvhRrTQQ/Funnel-Chart.png)](https://postimg.cc/FYTSn0CR)
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# Author
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[Divya Rao](https://github.com/dsrao711/)

‎Data-Visualization/TernaryPlots/TernaryPlot.py‎

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import plotly.express as px
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import plotly.graph_objects as go
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df = px.data.election()
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fig = go.Figure(go.Scatterternary({
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'mode': 'markers',
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'a': df['Joly'],
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'b': df['Coderre'],
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'c': df['Bergeron'],
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'marker': {
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'color': 'green',
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'size': 14,
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} ,
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}))
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fig.update_layout({
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'title': 'Ternary Scatter Plot',
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'ternary':
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{
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'sum':1,
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'aaxis':{'title': 'Joly', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },
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'baxis':{'title': 'Coderre', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },
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'caxis':{'title': 'Bergeron', 'min': 0.01, 'linewidth':2, 'ticks':'outside' }
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},
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'showlegend': False
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})
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fig.show()

‎Data-Visualization/TernaryPlots/ternaryplot.png‎

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‎Data-Visualization/WaterfallChart/WaterFall.png‎

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‎Data-Visualization/WaterfallChart/Waterfall.py‎

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import plotly.express as px
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import plotly.graph_objects as go
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fig = go.Figure(go.Waterfall(
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name = "20",
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orientation = "v",
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measure = ["relative", "relative", "relative", "relative", "relative", "total"],
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x = ["Exp1", "Exp2", "Exp3", "Exp4", "Exp5", "Exp6"],
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textposition = "outside",
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text = ["100", "50", "130", "200", "40", "Total"],
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y = [100, +50, 130, 200, 40, 0 ],
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connector = {"line":{"color":"rgb(63, 63, 63)"}},
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increasing = {"marker":{"color":"green"}},
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totals = {"marker":{"color":"blue"}}
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))
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fig.update_layout(
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title = "Waterfall Chart",
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showlegend = True ,
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xaxis_title='X Axis Title',
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yaxis_title='Y Axis Title',
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)
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fig.show()

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