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davidwisdom
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Browse files- .gitattributes +35 -0
- .gitignore +5 -0
- .streamlit/config.toml +7 -0
- README.md +13 -0
- app.py +295 -0
- data.txt +638 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore
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# pyenv
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.python-version
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# python
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__pycache__
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.streamlit/config.toml
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[theme]
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base = 'light'
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textColor = '#000000'
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[browser]
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gatherUsageStats = false
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README.md
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---
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title: Doj Antitrust Viz
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emoji: 😻
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colorFrom: blue
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colorTo: green
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sdk: streamlit
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sdk_version: 1.25.0
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app_file: app.py
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pinned: false
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license: cc-by-4.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import numpy as np
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import pandas as pd
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import plotly.express as px
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import plotly.graph_objects as go
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import plotly.io as pio
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import streamlit as st
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from datetime import datetime
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from pprint import pprint
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from scipy.stats import bootstrap
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# Load data
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with open('data.txt', 'r') as f:
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cases_data = f.readlines()
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monthly_records = []
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annual_records = []
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for case_count in cases_data:
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data = case_count.split()
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# Annual data
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if len(data) == 2:
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data[1] = data[1].replace('(', '').replace(')', '')
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annual_records.append((int(data[0]), int(data[1])))
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continue
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# Monthly data
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data[2] = data[2].replace('(', '').replace(')', '')
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monthly_records.append((data[0], int(data[1]), int(data[2])))
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pres_records = [
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('Lyndon B. Johnson', datetime(1963, 11, 22), datetime(1969, 1, 20)),
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('Richard Nixon', datetime(1969, 1, 20), datetime(1974, 8, 9)),
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('Gerald Ford', datetime(1974, 8, 9), datetime(1977, 1, 20)),
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('Jimmy Carter', datetime(1977, 1, 20), datetime(1981, 1, 20)),
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('Ronald Reagan', datetime(1981, 1, 20), datetime(1989, 1, 20)),
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('George H. W. Bush', datetime(1989, 1, 20), datetime(1993, 1, 20)),
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('Bill Clinton', datetime(1993, 1, 20), datetime(2001, 1, 20)),
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('George W. Bush', datetime(2001, 1, 20), datetime(2009, 1, 20)),
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42 |
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('Barack Obama', datetime(2009, 1, 20), datetime(2017, 1, 20)),
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('Donald Trump', datetime(2017, 1, 20), datetime(2021, 1, 20)),
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44 |
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('Joe Biden', datetime(2021, 1, 20), datetime(2023, 6, 28)) # cut Biden short so that it lines up with our last data point
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]
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pres_df = pd.DataFrame.from_records(pres_records, columns=['name', 'start', 'end'])
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47 |
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48 |
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# Clean the data
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51 |
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month2int = {
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'January': 1,
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54 |
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'February': 2,
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55 |
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'March': 3,
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'April': 4,
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'May': 5,
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'June': 6,
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'July': 7,
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'August': 8,
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'September': 9,
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'October': 10,
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'November': 11,
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'December': 12
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}
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mn_df = pd.DataFrame.from_records(monthly_records, columns=['month', 'year', 'cases'])
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dts = []
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for i, r in mn_df.iterrows():
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dts.append(datetime(year=r['year'], month=month2int[r['month']], day=28))
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+
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mn_df['date'] = dts
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# This is the first year that has more than 1 case
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clipped_mn_df = mn_df.query('year >= 1964')
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# add 0s for months that are missing
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# we cut off at 1964 but Johnson started in November of 1963
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# There weren't any cases in 1963 so it's okay to start
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# filling 0s from November of 1963
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cur_yr = 1963
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cur_mn = 11
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new_rows = []
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# pandas `in` is busted so we have to pull out the column manually
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# and check against that
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existing_dates = clipped_mn_df['date'].to_numpy(dtype=datetime)
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# our data goes through the end of the previous month (june 2023)
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# we're using 28 as the placeholder "day" for all the months
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while cur_yr < 2023 or cur_mn <= 6:
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dt = datetime(year=cur_yr, month=cur_mn, day=28)
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if dt not in existing_dates:
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new_rows.append((dt.strftime('%B'), dt.year, 0, dt))
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if cur_mn == 12:
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cur_yr += 1
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cur_mn = 1
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else:
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cur_mn += 1
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zero_rows = pd.DataFrame.from_records(new_rows, columns=['month', 'year', 'cases', 'date'])
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clipped_mn_df = pd.concat([clipped_mn_df, zero_rows], ignore_index=True)
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clipped_mn_df = clipped_mn_df.sort_values(by='date', ascending=False).reset_index(drop=True)
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# add the mean & std for each president
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presidents = []
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for d in clipped_mn_df['date']:
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for i, r in pres_df.iterrows():
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if d >= r['start'] and d <= r['end']:
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presidents.append(str(r['name']))
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clipped_mn_df['pres'] = presidents
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tmp = clipped_mn_df[['cases', 'pres']].groupby('pres').agg(['mean', 'std']).reset_index(drop=False)
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tmp.columns = ['name', 'cases_mean', 'cases_std']
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pres_df = pd.merge(pres_df, tmp, on='name', how='inner')
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# bootstrap confidence intervals for the mean
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# the data doesn't really look normal enough for 2 std to be super meaningful
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pres_names = pres_df['name'].unique()
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president_cis = []
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for pres in pres_names:
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cases = clipped_mn_df.query(f'pres == "{pres}"')['cases'].to_numpy()
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ci = bootstrap(
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cases.reshape(1,-1),
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np.mean,
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vectorized=False,
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confidence_level=0.95,
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method='BCa' # "bias-corrected and accelerated" (shifts the CI bounds if the distribution is skewed)
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).confidence_interval
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president_cis.append((pres, ci.low, ci.high))
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ci_df = pd.DataFrame.from_records(president_cis, columns=['name', 'ci_low', 'ci_high'])
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# add the confidence intervals to pres_df
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pres_df = pd.merge(pres_df, ci_df, on='name')
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144 |
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|
145 |
+
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146 |
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# Utils for converting colors
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147 |
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def hex2rgb(h):
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148 |
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"""
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149 |
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'#FF44BB' -> 'rgb(255, 68, 187)'
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150 |
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"""
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151 |
+
if h[0] == '#':
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152 |
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h = h[1:]
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153 |
+
if len(h) != 6:
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154 |
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raise ValueError(f'malformed hex input')
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155 |
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values = []
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156 |
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for i in range(0, len(h), 2):
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157 |
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values.append(int(h[i:i+2], base=16))
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158 |
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return f'rgb({values[0]}, {values[1]}, {values[2]})'
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159 |
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160 |
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def rgb2rgba(c, a=1.0):
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161 |
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"""
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162 |
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'rgb(95, 70, 144)'
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163 |
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->
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164 |
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'rgba(95, 70, 144)'
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165 |
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->
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166 |
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'rgba(95, 70, 144, 1.0)
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167 |
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168 |
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defaults to 100% opacity
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169 |
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but you can set it
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170 |
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"""
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171 |
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c = c[:3] + 'a' + c[3:]
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172 |
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c = c[:-1] + f', {a})'
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return c
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176 |
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# Draw the plot
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177 |
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|
178 |
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# streamlit ignores this but streamlit's theme
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179 |
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# is pure white so it's okay I guess?
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pio.templates.default = 'plotly_white'
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181 |
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182 |
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f = go.Figure()
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183 |
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184 |
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FONT_SIZE = 14
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185 |
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186 |
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# add the cases as a bar plot
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187 |
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bar_color = '#bbbbbb'
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188 |
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f.add_trace(go.Bar(
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x=clipped_mn_df['date'],
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y=clipped_mn_df['cases'],
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191 |
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name='DOJ Antitrust Cases',
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marker_color=bar_color,
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marker_line_color=bar_color,
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hovertemplate='%{x}: <b>%{y}</b><extra></extra>',
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hoverlabel={'bgcolor': rgb2rgba(hex2rgb(bar_color), 0.2), 'font': {'size': FONT_SIZE}},
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legendrank=1000 + 1 # default is 1000. Bigger means closer to the top
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))
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198 |
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199 |
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# add the president means + CI
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pres_colors = px.colors.qualitative.Prism
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204 |
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for i, r in pres_df.iterrows():
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# set up colors for this president
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pres_color = pres_colors[i]
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207 |
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if pres_color[0] == '#':
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208 |
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pres_color = hex2rgb(pres_color)
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209 |
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ci_color = rgb2rgba(pres_color, 0.5)
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hover_color = rgb2rgba(pres_color, 0.2)
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212 |
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213 |
+
hover_str = f"<b>{r['name']}</b><br>Mean: <b>{r['cases_mean']:.2f}</b><br>95% CI: <b>({r['ci_low']:.2f}–{r['ci_high']:.2f})</b><extra></extra>"
|
214 |
+
hover_label_fmt = {'bgcolor': hover_color, 'font': {'size': FONT_SIZE}}
|
215 |
+
|
216 |
+
|
217 |
+
# add this president's confidence interval
|
218 |
+
#
|
219 |
+
# draw two lines like this
|
220 |
+
#
|
221 |
+
# o------------------o
|
222 |
+
#
|
223 |
+
# o------------------o
|
224 |
+
#
|
225 |
+
# make the lines transparent,
|
226 |
+
# fill in the area between them
|
227 |
+
upper = r['ci_high']
|
228 |
+
lower = r['ci_low']
|
229 |
+
f.add_trace(go.Scatter(
|
230 |
+
x = [r['start'], r['end'], r['end'], r['start']],
|
231 |
+
y = [upper, upper, lower, lower],
|
232 |
+
fill='toself',
|
233 |
+
fillcolor=ci_color,
|
234 |
+
line_color=rgb2rgba(pres_color, 0),
|
235 |
+
# I have to set `name` for it to show up when I hover over any part of the fill
|
236 |
+
# otherwise the hover only comes up when I hover over the corners where the points are
|
237 |
+
# but `name` doesn't do the <extra></extra> thing to remove the extra hover box
|
238 |
+
name=hover_str.replace('<extra></extra>',''),
|
239 |
+
showlegend=False,
|
240 |
+
hovertemplate=hover_str,
|
241 |
+
hoverlabel=hover_label_fmt
|
242 |
+
))
|
243 |
+
|
244 |
+
# add this president's mean
|
245 |
+
f.add_trace(go.Scatter(
|
246 |
+
x=[r['start'], r['end']],
|
247 |
+
y=[r['cases_mean'],r['cases_mean']],
|
248 |
+
name=r['name'],
|
249 |
+
line_color=pres_color,
|
250 |
+
# I used to have vertical bars at the ends of the mean line
|
251 |
+
# but I like it more without them
|
252 |
+
# so just set the width to 0
|
253 |
+
marker={'symbol': 'line-ns', 'line': {'width': 0, 'color':pres_color}},
|
254 |
+
hovertemplate=hover_str,
|
255 |
+
hoverlabel=hover_label_fmt
|
256 |
+
))
|
257 |
+
|
258 |
+
|
259 |
+
# Trim the top of the plot a bit because there are a few outliers
|
260 |
+
# that make it hard to see the president aggregations
|
261 |
+
MAX_HEIGHT = 16
|
262 |
+
f.update_yaxes(range=[0, MAX_HEIGHT])
|
263 |
+
|
264 |
+
# add hashing over any bars taller than MAX_HEIGHT
|
265 |
+
# since we're cutting them off
|
266 |
+
too_tall = clipped_mn_df[clipped_mn_df['cases'] > MAX_HEIGHT]['date']
|
267 |
+
f.add_trace(go.Bar(
|
268 |
+
x=too_tall,
|
269 |
+
y=[MAX_HEIGHT * 0.25] * len(too_tall),
|
270 |
+
base = [MAX_HEIGHT - MAX_HEIGHT*0.1] * len(too_tall),
|
271 |
+
marker_color='#fff',
|
272 |
+
marker_line_color='rgba(255,255,255,0)',
|
273 |
+
marker_line_width=0,
|
274 |
+
# I think I remember plotly uses milliseconds if the axis is a datetime
|
275 |
+
# so the width has to be huge to cover a whole month
|
276 |
+
# yep 1 month is 2.6 * 10**9 milliseconds
|
277 |
+
width=3e9,
|
278 |
+
# these are the options ['', '/', '\\', 'x', '-', '|', '+', '.']
|
279 |
+
marker_pattern_shape='-',
|
280 |
+
marker_pattern_fillmode='replace',
|
281 |
+
showlegend=False
|
282 |
+
))
|
283 |
+
f.update_layout(barmode='stack')
|
284 |
+
|
285 |
+
f.update_layout(title="<b>What does the DOJ's Antitrust Division look like?</b>")
|
286 |
+
|
287 |
+
# since streamlit doesn't respect the Plotly theme,
|
288 |
+
# we can instead make the background transparent
|
289 |
+
f.update_layout({
|
290 |
+
'plot_bgcolor': 'rgba(0, 0, 0, 0)',
|
291 |
+
'paper_bgcolor': 'rgba(0, 0, 0, 0)',
|
292 |
+
})
|
293 |
+
|
294 |
+
st.set_page_config(layout='wide')
|
295 |
+
st.plotly_chart(f, use_container_width=True, theme=None)
|
data.txt
ADDED
@@ -0,0 +1,638 @@
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|
1 |
+
June 2023 (2)
|
2 |
+
April 2023 (1)
|
3 |
+
March 2023 (1)
|
4 |
+
February 2023 (2)
|
5 |
+
January 2023 (5)
|
6 |
+
2023 (11)
|
7 |
+
November 2022 (4)
|
8 |
+
October 2022 (2)
|
9 |
+
September 2022 (2)
|
10 |
+
August 2022 (2)
|
11 |
+
July 2022 (3)
|
12 |
+
June 2022 (3)
|
13 |
+
May 2022 (3)
|
14 |
+
April 2022 (1)
|
15 |
+
March 2022 (6)
|
16 |
+
February 2022 (3)
|
17 |
+
January 2022 (1)
|
18 |
+
2022 (30)
|
19 |
+
December 2021 (2)
|
20 |
+
November 2021 (7)
|
21 |
+
October 2021 (5)
|
22 |
+
September 2021 (6)
|
23 |
+
August 2021 (3)
|
24 |
+
July 2021 (2)
|
25 |
+
June 2021 (5)
|
26 |
+
May 2021 (2)
|
27 |
+
April 2021 (1)
|
28 |
+
March 2021 (3)
|
29 |
+
January 2021 (4)
|
30 |
+
2021 (40)
|
31 |
+
December 2020 (3)
|
32 |
+
November 2020 (3)
|
33 |
+
October 2020 (6)
|
34 |
+
September 2020 (4)
|
35 |
+
August 2020 (2)
|
36 |
+
July 2020 (5)
|
37 |
+
June 2020 (3)
|
38 |
+
May 2020 (3)
|
39 |
+
April 2020 (4)
|
40 |
+
March 2020 (4)
|
41 |
+
February 2020 (8)
|
42 |
+
January 2020 (2)
|
43 |
+
2020 (47)
|
44 |
+
December 2019 (4)
|
45 |
+
October 2019 (5)
|
46 |
+
September 2019 (3)
|
47 |
+
August 2019 (4)
|
48 |
+
July 2019 (7)
|
49 |
+
June 2019 (8)
|
50 |
+
May 2019 (3)
|
51 |
+
April 2019 (3)
|
52 |
+
March 2019 (1)
|
53 |
+
February 2019 (3)
|
54 |
+
January 2019 (4)
|
55 |
+
2019 (45)
|
56 |
+
December 2018 (5)
|
57 |
+
November 2018 (4)
|
58 |
+
October 2018 (4)
|
59 |
+
September 2018 (1)
|
60 |
+
August 2018 (6)
|
61 |
+
June 2018 (4)
|
62 |
+
May 2018 (4)
|
63 |
+
April 2018 (8)
|
64 |
+
March 2018 (3)
|
65 |
+
February 2018 (3)
|
66 |
+
January 2018 (1)
|
67 |
+
2018 (43)
|
68 |
+
December 2017 (2)
|
69 |
+
November 2017 (4)
|
70 |
+
October 2017 (4)
|
71 |
+
September 2017 (2)
|
72 |
+
August 2017 (4)
|
73 |
+
July 2017 (2)
|
74 |
+
June 2017 (3)
|
75 |
+
May 2017 (2)
|
76 |
+
April 2017 (1)
|
77 |
+
March 2017 (3)
|
78 |
+
February 2017 (2)
|
79 |
+
January 2017 (5)
|
80 |
+
2017 (34)
|
81 |
+
December 2016 (10)
|
82 |
+
November 2016 (5)
|
83 |
+
October 2016 (4)
|
84 |
+
September 2016 (3)
|
85 |
+
August 2016 (8)
|
86 |
+
July 2016 (5)
|
87 |
+
June 2016 (8)
|
88 |
+
May 2016 (7)
|
89 |
+
April 2016 (5)
|
90 |
+
March 2016 (4)
|
91 |
+
February 2016 (6)
|
92 |
+
January 2016 (1)
|
93 |
+
2016 (66)
|
94 |
+
December 2015 (6)
|
95 |
+
November 2015 (3)
|
96 |
+
October 2015 (7)
|
97 |
+
September 2015 (9)
|
98 |
+
August 2015 (3)
|
99 |
+
July 2015 (3)
|
100 |
+
June 2015 (5)
|
101 |
+
May 2015 (9)
|
102 |
+
April 2015 (7)
|
103 |
+
March 2015 (6)
|
104 |
+
February 2015 (2)
|
105 |
+
January 2015 (5)
|
106 |
+
2015 (65)
|
107 |
+
December 2014 (11)
|
108 |
+
November 2014 (12)
|
109 |
+
October 2014 (7)
|
110 |
+
September 2014 (4)
|
111 |
+
August 2014 (3)
|
112 |
+
July 2014 (4)
|
113 |
+
June 2014 (6)
|
114 |
+
May 2014 (3)
|
115 |
+
April 2014 (4)
|
116 |
+
March 2014 (4)
|
117 |
+
February 2014 (8)
|
118 |
+
January 2014 (9)
|
119 |
+
2014 (75)
|
120 |
+
December 2013 (4)
|
121 |
+
November 2013 (7)
|
122 |
+
October 2013 (3)
|
123 |
+
September 2013 (20)
|
124 |
+
August 2013 (4)
|
125 |
+
July 2013 (6)
|
126 |
+
June 2013 (6)
|
127 |
+
May 2013 (5)
|
128 |
+
April 2013 (6)
|
129 |
+
March 2013 (4)
|
130 |
+
February 2013 (2)
|
131 |
+
January 2013 (2)
|
132 |
+
2013 (69)
|
133 |
+
December 2012 (3)
|
134 |
+
November 2012 (4)
|
135 |
+
October 2012 (6)
|
136 |
+
September 2012 (4)
|
137 |
+
August 2012 (7)
|
138 |
+
July 2012 (6)
|
139 |
+
June 2012 (6)
|
140 |
+
May 2012 (2)
|
141 |
+
April 2012 (11)
|
142 |
+
March 2012 (4)
|
143 |
+
February 2012 (9)
|
144 |
+
January 2012 (12)
|
145 |
+
2012 (74)
|
146 |
+
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2011 (111)
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2010 (91)
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2009 (62)
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2008 (75)
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2007 (56)
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2006 (54)
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2005 (52)
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2004 (57)
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January 2003 (1)
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2003 (50)
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November 2002 (6)
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October 2002 (7)
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April 2002 (5)
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March 2002 (5)
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January 2002 (1)
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2002 (53)
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November 2001 (2)
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October 2001 (5)
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September 2001 (5)
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January 2001 (5)
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2001 (48)
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August 2000 (9)
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June 2000 (16)
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May 2000 (17)
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April 2000 (7)
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March 2000 (6)
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February 2000 (3)
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January 2000 (5)
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2000 (87)
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December 1999 (5)
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November 1999 (8)
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October 1999 (3)
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May 1999 (9)
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April 1999 (6)
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February 1999 (3)
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January 1999 (4)
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1999 (86)
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November 1998 (10)
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October 1998 (3)
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April 1998 (5)
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March 1998 (7)
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February 1998 (5)
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1998 (86)
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November 1997 (3)
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October 1997 (3)
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February 1997 (9)
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January 1997 (7)
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1997 (66)
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December 1996 (1)
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November 1996 (4)
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October 1996 (5)
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May 1996 (6)
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April 1996 (9)
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February 1996 (6)
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January 1996 (2)
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1996 (85)
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December 1995 (4)
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November 1995 (2)
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October 1995 (2)
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September 1995 (23)
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June 1995 (8)
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April 1995 (4)
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February 1995 (1)
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January 1995 (2)
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1995 (55)
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December 1994 (9)
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November 1994 (1)
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October 1994 (2)
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February 1994 (3)
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1994 (39)
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December 1993 (1)
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September 1993 (1)
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July 1993 (2)
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June 1993 (1)
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February 1993 (4)
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1993 (11)
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1992 (13)
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December 1991 (2)
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October 1991 (2)
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January 1991 (6)
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1991 (18)
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July 1990 (4)
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April 1990 (1)
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March 1990 (1)
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February 1990 (1)
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1990 (16)
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November 1989 (1)
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June 1989 (2)
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February 1989 (1)
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1989 (6)
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November 1988 (2)
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September 1988 (1)
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July 1988 (1)
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1988 (10)
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June 1987 (8)
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April 1987 (1)
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January 1987 (1)
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1987 (16)
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November 1986 (1)
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August 1986 (2)
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June 1986 (2)
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1986 (9)
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1985 (9)
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November 1984 (1)
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October 1984 (1)
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March 1984 (2)
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February 1984 (1)
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1984 (16)
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November 1983 (1)
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August 1983 (1)
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June 1983 (1)
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May 1983 (2)
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April 1983 (1)
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February 1983 (1)
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1983 (7)
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November 1982 (1)
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October 1982 (2)
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August 1982 (1)
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June 1982 (4)
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April 1982 (3)
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March 1982 (1)
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February 1982 (4)
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1982 (19)
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December 1981 (2)
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September 1981 (1)
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477 |
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August 1981 (1)
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July 1981 (1)
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February 1981 (7)
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January 1981 (6)
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1981 (18)
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December 1980 (4)
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November 1980 (1)
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October 1980 (4)
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September 1980 (8)
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July 1980 (2)
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June 1980 (2)
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May 1980 (2)
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April 1980 (2)
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January 1980 (4)
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1980 (33)
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December 1979 (3)
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September 1979 (4)
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495 |
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August 1979 (6)
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July 1979 (1)
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June 1979 (4)
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May 1979 (2)
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April 1979 (2)
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March 1979 (4)
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January 1979 (4)
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1979 (30)
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503 |
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December 1978 (1)
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504 |
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November 1978 (3)
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October 1978 (1)
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September 1978 (5)
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August 1978 (4)
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July 1978 (1)
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June 1978 (1)
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May 1978 (1)
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April 1978 (2)
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March 1978 (3)
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1978 (22)
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November 1977 (1)
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October 1977 (2)
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September 1977 (1)
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July 1977 (2)
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June 1977 (1)
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February 1977 (1)
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1977 (9)
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November 1976 (1)
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June 1976 (8)
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May 1976 (1)
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April 1976 (4)
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March 1976 (1)
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February 1976 (3)
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528 |
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January 1976 (5)
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529 |
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1976 (23)
|
530 |
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December 1975 (2)
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531 |
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November 1975 (6)
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532 |
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October 1975 (6)
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533 |
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September 1975 (1)
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August 1975 (3)
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July 1975 (1)
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March 1975 (1)
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1975 (20)
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December 1974 (10)
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539 |
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November 1974 (4)
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540 |
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October 1974 (1)
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541 |
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September 1974 (2)
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August 1974 (1)
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July 1974 (1)
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June 1974 (5)
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May 1974 (2)
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April 1974 (3)
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March 1974 (1)
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1974 (30)
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549 |
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December 1973 (3)
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550 |
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November 1973 (2)
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551 |
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October 1973 (2)
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September 1973 (1)
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553 |
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August 1973 (5)
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554 |
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June 1973 (3)
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May 1973 (5)
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556 |
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April 1973 (6)
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557 |
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March 1973 (1)
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558 |
+
February 1973 (4)
|
559 |
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January 1973 (3)
|
560 |
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1973 (35)
|
561 |
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December 1972 (8)
|
562 |
+
November 1972 (2)
|
563 |
+
October 1972 (2)
|
564 |
+
September 1972 (1)
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565 |
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August 1972 (3)
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566 |
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July 1972 (3)
|
567 |
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June 1972 (15)
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568 |
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May 1972 (11)
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569 |
+
April 1972 (10)
|
570 |
+
March 1972 (3)
|
571 |
+
February 1972 (3)
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572 |
+
January 1972 (10)
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573 |
+
1972 (71)
|
574 |
+
December 1971 (2)
|
575 |
+
November 1971 (2)
|
576 |
+
October 1971 (4)
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577 |
+
September 1971 (3)
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578 |
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August 1971 (1)
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579 |
+
July 1971 (3)
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580 |
+
June 1971 (4)
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581 |
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May 1971 (11)
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582 |
+
April 1971 (4)
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583 |
+
March 1971 (1)
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584 |
+
February 1971 (2)
|
585 |
+
January 1971 (3)
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586 |
+
1971 (40)
|
587 |
+
December 1970 (6)
|
588 |
+
November 1970 (6)
|
589 |
+
September 1970 (3)
|
590 |
+
August 1970 (3)
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591 |
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July 1970 (7)
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592 |
+
June 1970 (11)
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593 |
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May 1970 (4)
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594 |
+
April 1970 (3)
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595 |
+
March 1970 (6)
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596 |
+
February 1970 (4)
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597 |
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1970 (53)
|
598 |
+
December 1969 (3)
|
599 |
+
September 1969 (1)
|
600 |
+
August 1969 (1)
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601 |
+
July 1969 (4)
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602 |
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June 1969 (1)
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April 1969 (2)
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1969 (12)
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605 |
+
November 1968 (1)
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606 |
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March 1968 (3)
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607 |
+
January 1968 (2)
|
608 |
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1968 (6)
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609 |
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November 1967 (5)
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610 |
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September 1967 (1)
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611 |
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1967 (6)
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612 |
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April 1966 (1)
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1966 (1)
|
614 |
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November 1965 (1)
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September 1965 (1)
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616 |
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April 1965 (1)
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617 |
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1965 (3)
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618 |
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December 1964 (1)
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619 |
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October 1964 (1)
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620 |
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1964 (2)
|
621 |
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June 1962 (1)
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622 |
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1962 (1)
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623 |
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November 1961 (1)
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624 |
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1961 (1)
|
625 |
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October 1959 (1)
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626 |
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1959 (1)
|
627 |
+
October 1957 (1)
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628 |
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1957 (1)
|
629 |
+
May 1945 (1)
|
630 |
+
1945 (1)
|
631 |
+
May 1941 (1)
|
632 |
+
1941 (1)
|
633 |
+
August 1940 (1)
|
634 |
+
1940 (1)
|
635 |
+
February 1920 (1)
|
636 |
+
1920 (1)
|
637 |
+
May 1899 (1)
|
638 |
+
1899 (1)
|