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df2 df1 df:
df= pd.merge(df1, df2.drop(columns=['reg']), how='inner',on=['tik', 'uik'])transliterate:
!pip install transliterate
from transliterate import translit:
df['turnout_pct']=df['n_ballots_all']/df['n_registered_voters']*100.
df['yes_pct']=df['yes']/df['n_ballots_polling_station']*100.
df['no_pct']=df['no']/df['n_ballots_polling_station']*100.
df['invalid_pct']=df['n_ballots_invalid']/df['n_ballots_polling_station']*100.:
df_original=df.copy(deep=True). « » «» «». 100%.
df=df[df['turnout_pct']<100.]
ax = df.plot.scatter(x='turnout_pct',y='yes_pct',label=' ()',c='DarkBlue',s=0.001)
ax = df.plot.scatter(x='turnout_pct',y='no_pct',label=' ()',c='DarkRed',s=0.001,ax=ax)
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import shutil
from google.colab import files
directory='/content/drive/anomaly/dispersion'
shutil.make_archive(directory, 'zip', directory)
files.download('/content/drive/anomaly/dispersion.zip') :
https://elections.dekoder.org/ru/russia/constitution/2020/
https://www.electoral.graphics/ru-ru/
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