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app.py
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# authors: Keanna Knebel
# date: 2020-08-06
###############################################################################
# IMPORT PACKAGES #
###############################################################################
# Basics
import pandas as pd
import numpy as np
import os
# Plotly
import plotly.graph_objects as go
# Dash
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
###############################################################################
# APP SET-UP #
###############################################################################
app = dash.Dash(
__name__,
meta_tags=[{"name": "viewport", "content": "width=device-width"}])
server = app.server
###############################################################################
# READ-IN DATASETS #
###############################################################################
# ontario b corporations
df = pd.read_csv("data/mapped_ont_bcorps.csv")
years = list(range(df['year_first_certified'].min(),
df['year_first_certified'].max()+1))
mapbox_access_token = os.environ['map_box_key']
config = {'displayModeBar': False}
industries = sorted(df.industry_category.unique())
categories = ["Overall Score", "Community", "Customers",
"Environment", "Governance", "Workers"]
companies = sorted(df.company_name.unique())
start_years = ['Total', 2007, 2008, 2009, 2010, 2011, 2012,
2013, 2014, 2015, 2016, 2017]
# Global B Corps - with in-between years
global_df = pd.read_csv("data/all_years_bcorps.csv")
countries = sorted(global_df.country.unique())
###############################################################################
# LAYOUT #
###############################################################################
app.layout = html.Div([
# Main app header
html.Div([
# Setting the main title of the Dashboard
html.H1(
"Analysis of B Corporations",
style={"textAlign": "center",
"color": "white",
"marginTop": 15,
"marginBottom": 25}
)
]),
dcc.Tabs(
id="mainTabs",
children=[
# Define the layout of the first Tab
dcc.Tab(
label='Ontario B Corps',
id='tab1',
className='custom-tab',
children=[
# Search bar for Company Name
html.Div(
className="app__content",
children=[
# Main app header
html.Div(
className="four-fifths column",
children=[
# Setting the main title of the Dashboard
html.H1(
"Ontario B Corporations",
className="app__title"
)
]
),
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P("Search by Company Name:"),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="company-dropdown",
options=[{'label': i, 'value': i} for i in companies],
style={
"border": "0px solid black"
},
placeholder='Select a Company'
)
],
),
],
)
],
),
],
),
# First row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"Select a Business Industry:"
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="industry-dropdown",
options=[{'label': i, 'value': i} for i in industries],
style={
"border": "0px solid black"
},
placeholder='Select a Business Industry'
)
],
),
html.P(
"""Select an Impact Score Area:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="score-dropdown",
options=[{'label': i, 'value': i} for i in categories],
style={
"border": "0px solid black"
},
placeholder='Select an Impact Area'
)
],
),
],
),
# Summary Industry Info side panel
html.Div(
id="summary_side_panel",
className="graph__container second",
style={"textAlign": "center",
"fontFamily": "sans-serif"}
),
]
),
# Ontario map container
html.Div(
className="two-thirds column graph__container map",
children=[
dcc.Graph(
id='ont-map',
config=config
),
# slider
html.Div(
className='div-for-slider',
children=[
dcc.Slider(
id='year-slider',
min=df['year_first_certified'].min(),
max=df['year_first_certified'].max(),
value=2020,
marks={str(year): {
'label': str(year),
'style': {'color': 'white'}
}
for year in years},
step=1
)
],
),
],
),
# Selected company info side panel
html.Div(
className="one-fifth column",
children=[
html.Div(
className="graph__container third",
id="company_side_panel",
style={"textAlign": "center",
"fontFamily": "sans-serif"},
),
]
),
],
),
# Second row
html.Div(
className="app__content",
children=[
# Industry bar chart container
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="ind-title"),
],
),
dcc.Graph(
id='ind-graph',
config=config
),
],
),
# Cumulative Count of Businesses line plot
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="cumulative-title"),
],
),
dcc.Graph(
id='cumulative-graph',
config=config
),
],
),
]
),
],
),
# define the layout of the second tab
dcc.Tab(
label='Global Stats',
id='tab2',
className='custom-tab',
children=[
# First row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"""Select a Country:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="country-dropdown",
options=[{'label': i, 'value': i} for i in countries],
style={
"border": "0px solid black"
},
placeholder='Select a Country',
)
],
),
],
),
],
),
# Cumulative Count of Businesses line plot
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="growth-title"),
],
),
dcc.Graph(
id='growth-graph',
config=config
),
],
),
]
),
# Second row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"""Select an Industry:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="ind2-dropdown",
options=[{'label': i, 'value': i} for i in industries],
style={
"border": "0px solid black"
},
placeholder='Select an industry',
)
],
),
html.P(
"""Select Business Start Year:"""
),
html.Div(
children=[
dcc.Checklist(
id="year-checklist",
options=[{'label': i, 'value': i} for i in start_years],
value=['Total'],
style={
"color": "white",
},
labelStyle = {'display': 'inline-block', 'width':'30%'}
)
],
),
],
),
],
),
# Average Impact Score plot
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="avgscore-title"),
],
),
dcc.Graph(
id='avgscore-graph',
config=config
),
],
),
]
),
],
),
# define the layout of the third tab
dcc.Tab(
label='De-Certified Companies',
id='tab3',
className='custom-tab',
children=[
# First row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"""Select an Industry:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="ind3-dropdown",
options=[{'label': i, 'value': i} for i in industries],
style={
"border": "0px solid black"
},
placeholder='Select an industry',
)
],
),
],
),
],
),
# Count of businesses by total time as B Corp
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="totalyears-title"),
],
),
dcc.Graph(
id='totalyears-graph',
config=config
),
],
),
]
),
# Second row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"""Select an Industry:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="ind4-dropdown",
options=[{'label': i, 'value': i} for i in industries],
style={
"border": "0px solid black"
},
placeholder='Select an industry',
)
],
),
],
),
],
),
# Score by total time as B Corp
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="decert-score-title"),
],
),
dcc.Graph(
id='decert-score-graph',
config=config
),
],
),
]
),
# Third row
html.Div(
className="app__content",
children=[
# User input panel
html.Div(
className="one-fifth column",
children=[
# drop-down menus
html.Div(
className="graph__container first",
children=[
html.P(
"""Select an Industry:"""
),
html.Div(
className="div-for-dropdown",
children=[
dcc.Dropdown(
id="ind5-dropdown",
options=[{'label': i, 'value': i} for i in industries],
style={
"border": "0px solid black"
},
placeholder='Select an industry',
)
],
),
],
),
],
),
# Size by total time as B Corp
html.Div(
className="one-half column graph__container",
children=[
html.H4(
className="graph__title",
children=[
html.H4(
id="decert-size-title"),
],
),
dcc.Graph(
id='decert-size-graph',
config=config
),
],
),
]
),
]
),
]),
])
###############################################################################
# UPDATES + CALLBACKS #
###############################################################################
###############################################################################
# TAB 1 - UPDATES
###############################################################################
# Update the Ontario map
@app.callback(
Output("ont-map", "figure"),
[Input("industry-dropdown", "value"),
Input("score-dropdown", "value"),
Input("year-slider", "value")],
)
def update_map(sel_industry, sel_score, sel_year):
latInitial = 44
lonInitial = -79
zoom = 6
opacity = 0.75
df_map = df[df['year_certified'] <= sel_year].copy()
df_map.drop_duplicates(subset=['company_name'],
inplace=True,
ignore_index=True)
if sel_industry:
df_map = df_map[df_map.industry_category == sel_industry]
if (sel_score != 'Overall Score') and (sel_score):
score_title = sel_score + " Impact Score"
score_col = "impact_area_" + str.lower(sel_score)
else:
score_title = "Overall Impact Score"
score_col = "overall_score"
customdata = pd.DataFrame({
'Business Name': df_map.company_name,
'Industry': df_map.industry_category,
'Cert': df_map.date_first_certified,
'Impact Score': df_map.overall_score})
fig = (go.Figure(
data=go.Scattermapbox(
lat=df_map['lat'],
lon=df_map['long'],
mode="markers",
customdata=customdata,
marker=dict(
opacity=opacity,
size=9,
color=df_map[score_col],
colorscale='YlOrRd',
showscale=True,
colorbar=dict(
title=score_title,
titlefont=dict(
family='Open Sans',
size=16
),
bgcolor="#404349",
x=1,
xanchor='left',
ticks="outside",
tickcolor="white",
tickwidth=2,
)
),
hovertemplate=
"<b>%{customdata[0]}</b><br>" +
"<br>Industry: %{customdata[1]}" +
"<br>Certified since: %{customdata[2]}" +
"<br>Overall Impact Score: %{customdata[3]}" +
"<extra></extra>"
),
layout=go.Layout(
margin={'l': 0, 'r': 0, 't': 0, 'b': 0},
autosize=True,
font={"color": "white"},
mapbox=dict(
accesstoken=mapbox_access_token,
center=dict(
lat=latInitial,
lon=lonInitial),
style="dark",
zoom=zoom,
bearing=0
),
)
))
fig.update_layout(clickmode='event+select')
return fig
# Update the industry bar chart
@app.callback(
[Output("ind-title", 'children'),
Output("ind-graph", 'figure')],
[Input("industry-dropdown", "value"),
Input("year-slider", "value")],
)
def update_ind_graph(sel_industry, sel_year):
ind_df = df[df['year_certified'] <= sel_year].copy()
ind_df.drop_duplicates(subset=['company_name'],
inplace=True,
ignore_index=True)
if sel_industry:
title = "Number of Certified B Corporations in the " + sel_industry + " Industry in " + str(sel_year) + ", by Category"
ind_df = ind_df[ind_df.industry_category == sel_industry]
counts = ind_df.industry.value_counts()
else:
title = "Number of Certified B Corporations in " + str(sel_year) + " by Industry"
counts = ind_df.industry_category.value_counts()
ind = list(counts.index)
fig = go.Figure(
data=go.Bar(
y=ind,
x=counts,
marker_color='#FFDA67',
hovertemplate="<b>%{y}:</b> %{x}<extra></extra>",
orientation='h'),
layout=go.Layout(
margin={'l': 10, 'r': 10, 't': 10, 'b': 10},
template='simple_white',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='grey',
yaxis=go.XAxis(showticklabels=False),
annotations=[
dict(
x=xi,
y=yi,
text=yi,
xanchor="left",
yanchor="middle",
showarrow=False,
)
for xi, yi in zip(counts, ind)
],
)
)
fig.update_layout(
barmode='group',
xaxis_title="Number of Businesses",
yaxis_title="Industry",
font=dict(
color="white",
size=14),
height=550)
fig.update_xaxes(showline=True, linewidth=2, linecolor='white')
fig.update_yaxes(showline=True, linewidth=2, linecolor='white')
return title, fig
# Update the cumulative business count line chart
@app.callback(
[Output("cumulative-title", 'children'),
Output("cumulative-graph", 'figure')],
[Input("industry-dropdown", "value")],
)
def update_cumulative_graph(sel_industry):
count_df = df.drop_duplicates(subset=['company_name'],
ignore_index=True)
title = 'Count of Certified B Corporations in Ontario Over Time'
counts = count_df.groupby(['year_first_certified'])['company_name'].count()
fig = go.Figure(
data=go.Scatter(
x=list(counts.index),
y=counts.cumsum(),
line=dict(width=4),
marker=dict(color='#FFDA67', size=10),
hovertemplate="<b>%{x}:</b> %{y}<extra></extra>"),
layout=go.Layout(
margin={'l': 10, 'r': 10, 't': 10, 'b': 10},
template='simple_white',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='grey',
))
fig.update_layout(
xaxis_title="Year",
yaxis_title="Number of Corporations",
font=dict(
color="white",
size=14),
height=550)
fig.update_xaxes(showline=True, linewidth=2, linecolor='white')
fig.update_yaxes(showline=True, linewidth=2, linecolor='white')
fig
return title, fig
# Update the summary side panel
@app.callback(
Output("summary_side_panel", "children"),
[Input("industry-dropdown", "value"),
Input("year-slider", "value")],
)
def update_side_panel(sel_industry, sel_year):
sum_df = df[df['year_certified'] <= sel_year]
sum_df.drop_duplicates(subset=['company_name'],
inplace=True,
ignore_index=True)
# update title of the summary panel by industry
if sel_industry:
title = "the " + sel_industry + " Industry, in " + str(sel_year)
sum_df = sum_df[sum_df.industry_category == sel_industry]
else:
title = "all Industries, in " + str(sel_year)
# calculate number of B corporations
num = len(sum_df)
# calculate average impact scores
total = round(sum_df.overall_score.mean(), 1)
community = round(sum_df.impact_area_community.mean(), 1)
environment = round(sum_df.impact_area_environment.mean(), 1)
governance = round(sum_df.impact_area_governance.mean(), 1)
workers = round(sum_df.impact_area_workers.mean(), 1)
customers = round(sum_df.impact_area_customers.mean(), 1)
# format html output for the summary stats
sum_info = [
# side panel title
html.H4("Summary Statistics for",
style={"marginBottom": 0}),
html.H4(title, style={"marginTop": 0, "marginBottom": 0}),
html.Hr(style={"marginTop": 5}),
# number of certified businesses
html.H3(num, style={"marginBottom": 0, "marginTop": 5}),
html.H6("Businesses in Ontario"),
# Impact scores table
html.H4("Average Impact Score",
style={"marginBottom": 10, "textDecoration": "underline"}),
html.Div(
children=[
html.H4("Overall Score: "),
html.H5("Community: "),
html.H5("Environment: "),
html.H5("Governance: "),
html.H5("Workers: "),
html.H5("Customers: ")
],
style={"textAlign": "right",
"width": "47%",
'display': 'inline-block'},
),
html.Div(
children=[
html.H4(total),
html.H5(community),
html.H5(environment),
html.H5(governance),
html.H5(workers),
html.H5(customers)
],
style={"textAlign": "center",
"width": "45%",
'display': 'inline-block'}
),
]
return sum_info
# Update the selected company side panel
@app.callback(
Output("company_side_panel", "children"),
[Input("ont-map", "clickData"),
Input("company-dropdown", "value"),
Input("year-slider", "value")],
)
def update_company_side_panel(clickData, sel_company, sel_year):
if (sel_company is not None) or (clickData is not None):
company_df = df[df['year_certified'] <= sel_year]
company_df.drop_duplicates(subset=['company_name'],
inplace=True,
ignore_index=True)
if sel_company is not None:
company_df = company_df[company_df.company_name == sel_company]
else:
sel_company = clickData['points'][0]['customdata'][0]
company_df = company_df[company_df.company_name == sel_company]
if len(company_df) > 0:
company_df.replace(np.nan, 'N/A ', inplace=True)
# format html output
sum_info = [
html.H3(sel_company, style={"marginBottom": 0}),
html.H4(" (" + str(sel_year) + " Data)"),
html.Hr(style={"marginTop": 5, "marginBottom": 10}),
html.H6("Certified B Corporation since:",
style={"marginBottom": 0}),
html.H6(company_df.date_first_certified),
html.H6(company_df.industry_category + " | " + company_df.industry),
html.H6('Number of employees: ' + company_df['size'][company_df['size'].index[0]]),
dcc.Markdown("[" + company_df.website + "](http://" + company_df.website + ")"),
# Impact scores table
html.H4("Impact Score",
style={"marginBottom": 10,
"textDecoration": "underline"}),
html.Div(
children=[
html.H4("Overall Score: "),
html.H5("Community: "),
html.H5("Environment: "),
html.H5("Governance: "),
html.H5("Workers: "),
html.H5("Customers: ")
],
style={"textAlign": "right",
"width": "47%",
'display': 'inline-block'},
),
html.Div(
children=[
html.H4(company_df.overall_score),
html.H5(company_df.impact_area_community),
html.H5(company_df.impact_area_environment),
html.H5(company_df.impact_area_governance),
html.H5(company_df.impact_area_workers),
html.H5(company_df.impact_area_customers)
],
style={"textAlign": "center",
"width": "45%",
'display': 'inline-block'}
),
]
else:
sum_info = [html.H4("Select a company on the map to learn more")]
else:
sum_info = [html.H4("Select a company on the map to learn more")]
return sum_info
# update dropdown menu - via click data
@app.callback(
Output("company-dropdown", "value"),
[Input("ont-map", "clickData")],
)
def update_dropdown(clickData):
if clickData is not None:
sel_company = clickData['points'][0]['customdata'][0]
else:
sel_company = None
return sel_company
###############################################################################
# TAB 2 - UPDATES
###############################################################################
# Update the growth of b corps line chart
@app.callback(
[Output("growth-title", 'children'),
Output("growth-graph", 'figure')],
[Input("country-dropdown", "value")],
)
def update_growth_graph(sel_country):
if sel_country:
# filter by country
new_df = global_df[global_df.country == sel_country]
title = 'Count of Certified B Corporations in ' + sel_country + ' Over Time'
else:
new_df = global_df.copy()
title = 'Global Count of Certified B Corporations Over Time'
count_df = new_df.drop_duplicates(subset=['company_name'],
ignore_index=True)
counts = count_df.groupby(['year_first_certified'])['company_name'].count()
de_cert = count_df[count_df.current_status == 'de-certified']
de_cert_counts = de_cert.groupby(['year_certified'])['company_name'].count()
de_cert_counts.index += 1
li_dif = [i for i in counts.index if i not in de_cert_counts.index]
for i in li_dif:
de_cert_counts[i] = 0
de_cert_counts = de_cert_counts.sort_index()
# subtract de-certified B corps from total
counts = counts.cumsum() - de_cert_counts.cumsum()
fig = go.Figure(
data=go.Scatter(
x=list(counts.index),
y=counts,
line=dict(width=4),
marker=dict(color='#FFDA67', size=10),