text: import json
  import pandas as pd
  from textblob import TextBlob
  import matplotlib.pyplot as plt
  
  tweets_data_path = 'C:\\Users\\500038478\\PycharmProjects\\myAPP_1.0\\twitter_data.json'
  tweets_data=[]
  tweets_file=open(tweets_data_path,"r")
  for line in tweets_file:
      try:
          tweet=json.loads(line)
          tweets_data.append(tweet)
      except:
          continue
  #print("hi")
  #print(len(tweets_data))
  
  tweets=pd.DataFrame()
  tweets['text'] = list([tweet['text'] for tweet in tweets_data])
  tweets['lang'] = list([tweet['lang'] for tweet in tweets_data])
  tweets['country'] = list([tweet['place']['country'] if tweet['place'] != None else None for tweet in tweets_data])
  # analysis by sentiment analysis
  arr=[]
  for twi in tweets['text']:
      analysis=TextBlob(twi)
  
      if(analysis.sentiment.subjectivity>0.5):
          arr.append(analysis.sentiment.polarity)
  count1=0
  count2=0
  count3=0
  for i in arr:
      if i>=0.5:
          count1=count1+1
      elif i>-0.5 and i<0.5:
          count2=count2+1
  else:
      count3=count3+1
  labels = 'Happy', 'neutral', 'sad'
  sizes=[count1,count2,count3]
  fig1, ax1 = plt.subplots()
  ax1.pie(sizes,labels=labels, autopct='%1.1f%%',
          shadow=True, startangle=90)
  ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
  
  plt.show()
  #Analying json by lang
  tweets_by_lang = tweets['lang'].value_counts()
  fig, ax =plt.subplots()
  ax.tick_params(axis='x',labelsize=15)
  ax.tick_params(axis='y',labelsize=10)
  ax.set_xlabel('Languages', fontsize=15)
  ax.set_ylabel('Number of tweets', fontsize=15)
  ax.set_title('Top 5 lang',fontsize=15,fontweight='bold')
  tweets_by_lang[:5].plot(ax=ax,kind='bar',color='red')
  plt.show()
  #analying json by country
  tweets_by_country = tweets['country'].value_counts()
  
  fig, ax = plt.subplots()
  ax.tick_params(axis='x', labelsize=15)
  ax.tick_params(axis='y', labelsize=10)
  ax.set_xlabel('Countries', fontsize=15)
  ax.set_ylabel('Number of tweets' , fontsize=15)
  ax.set_title('Top 5 countries', fontsize=15, fontweight='bold')
  tweets_by_country[:5].plot(ax=ax, kind='bar', color='blue')
  plt.show()
  
  