Aman Kharwal amankharwal

## titanic.csv

          
            PassengerId
            Survived
            Pclass
            Name
            Sex
            Age
            SibSp
            Parch
            Ticket
            Fare
            Cabin
            Embarked

            
              1
              0
              3
              Braund, Mr. Owen Harris
              male
              22
              1
              0
              A/5 21171
              7.25
              
              S

            
              2
              1
              1
              Cumings, Mrs. John Bradley (Florence Briggs Thayer)
              female
              38
              1
              0
              PC 17599
              71.2833
              C85
              C

            
              3
              1
              3
              Heikkinen, Miss. Laina
              female
              26
              0
              0
              STON/O2. 3101282
              7.925
              
              S

            
              4
              1
              1
              Futrelle, Mrs. Jacques Heath (Lily May Peel)
              female
              35
              1
              0
              113803
              53.1
              C123
              S

            
              5
              0
              3
              Allen, Mr. William Henry
              male
              35
              0
              0
              373450
              8.05
              
              S

            
              6
              0
              3
              Moran, Mr. James
              male
              
              0
              0
              330877
              8.4583
              
              Q

            
              7
              0
              1
              McCarthy, Mr. Timothy J
              male
              54
              0
              0
              17463
              51.8625
              E46
              S

            
              8
              0
              3
              Palsson, Master. Gosta Leonard
              male
              2
              3
              1
              349909
              21.075
              
              S

            
              9
              1
              3
              Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)
              female
              27
              0
              2
              347742
              11.1333
              
              S

## titanic.csv

          
            1
            0
            3
            Braund, Mr. Owen Harris
            male
            22
            1
            0
            A/5 21171
            7.25
            
            S

            
              2
              1
              1
              Cumings, Mrs. John Bradley (Florence Briggs Thayer)
              female
              38
              1
              0
              PC 17599
              71.2833
              C85
              C

            
              3
              1
              3
              Heikkinen, Miss. Laina
              female
              26
              0
              0
              STON/O2. 3101282
              7.925
              
              S

            
              4
              1
              1
              Futrelle, Mrs. Jacques Heath (Lily May Peel)
              female
              35
              1
              0
              113803
              53.1
              C123
              S

            
              5
              0
              3
              Allen, Mr. William Henry
              male
              35
              0
              0
              373450
              8.05
              
              S

            
              6
              0
              3
              Moran, Mr. James
              male
              
              0
              0
              330877
              8.4583
              
              Q

            
              7
              0
              1
              McCarthy, Mr. Timothy J
              male
              54
              0
              0
              17463
              51.8625
              E46
              S

            
              8
              0
              3
              Palsson, Master. Gosta Leonard
              male
              2
              3
              1
              349909
              21.075
              
              S

            
              9
              1
              3
              Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)
              female
              27
              0
              2
              347742
              11.1333
              
              S

## telegram bot
import requests
import json
def summary(update, context):
    response = requests.get('https://api.covid19api.com/summary')
    if(response.status_code==200): #Everything went okay, we have the data
        data = response.json()
        print(data['Global'])
        context.bot.send_message(chat_id=update.effective_chat.id, text=data['Global'])
    else: #something went wrong
        context.bot.send_message(chat_id=update.effective_chat.id, text="Error, something went wrong.")

## telegram bot
hello_handler = CommandHandler('hello', hello)
dispatcher.add_handler(hello_handler)

## telegram bot
def hello(update, context):
    context.bot.send_message(chat_id=update.effective_chat.id, text='Hello, World')

## telegram bot
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
updater = Updater(token='TOKEN', use_context=True) #Replace TOKEN with your token string
dispatcher = updater.dispatcher

## Bubble Plots
plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil,
                  c=c_br,
                 alpha=0.5,
                 s = b_normal * 2000)
plt.xlabel("Years", size=14)
plt.ylabel("Number of immigrants of Brazil", size=14)

## Bubble Plots
plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil,
                  c=c_br,
                 alpha=0.5,
                 s = b_normal * 2000)
plt.scatter(years, India,
                  c=c_fr,
                 alpha=0.5,
                 s = i_normal * 2000,
                 )

## Bubble Plots
plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil,
                  color='darkblue',
                 alpha=0.5,
                 s = b_normal * 2000)
plt.scatter(years, India,
                  color='purple',
                 alpha=0.5,
                 s = i_normal * 2000,
                 )

## gist:7094bf5880b685b386aa97d0e94401bb
i_normal = India / India.max()
b_normal = Brazil / Brazil.max()
years = list(range(1980, 2014))
import matplotlib.pyplot as plt
plt.figure(figsize=(14, 8))
plt.scatter(years, India, color='blue')
plt.scatter(years, Brazil, color='orange')
plt.xlabel("Years", size=14)
plt.ylabel("Number of immigrants", size=14)
plt.show()
PassengerId	Survived	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
1	0	3	Braund, Mr. Owen Harris	male	22	1	0	A/5 21171	7.25		S
2	1	1	Cumings, Mrs. John Bradley (Florence Briggs Thayer)	female	38	1	0	PC 17599	71.2833	C85	C
3	1	3	Heikkinen, Miss. Laina	female	26	0	0	STON/O2. 3101282	7.925		S
4	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35	1	0	113803	53.1	C123	S
5	0	3	Allen, Mr. William Henry	male	35	0	0	373450	8.05		S
6	0	3	Moran, Mr. James	male		0	0	330877	8.4583		Q
7	0	1	McCarthy, Mr. Timothy J	male	54	0	0	17463	51.8625	E46	S
8	0	3	Palsson, Master. Gosta Leonard	male	2	3	1	349909	21.075		S
9	1	3	Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)	female	27	0	2	347742	11.1333		S
	import requests
	import json
	def summary(update, context):
	response = requests.get('https://api.covid19api.com/summary')
	if(response.status_code==200): #Everything went okay, we have the data
	data = response.json()
	print(data['Global'])
	context.bot.send_message(chat_id=update.effective_chat.id, text=data['Global'])
	else: #something went wrong
	context.bot.send_message(chat_id=update.effective_chat.id, text="Error, something went wrong.")
	hello_handler = CommandHandler('hello', hello)
	dispatcher.add_handler(hello_handler)
	def hello(update, context):
	context.bot.send_message(chat_id=update.effective_chat.id, text='Hello, World')
	from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
	updater = Updater(token='TOKEN', use_context=True) #Replace TOKEN with your token string
	dispatcher = updater.dispatcher
	plt.figure(figsize=(12, 8))
	plt.scatter(years, Brazil,
	c=c_br,
	alpha=0.5,
	s = b_normal * 2000)
	plt.xlabel("Years", size=14)
	plt.ylabel("Number of immigrants of Brazil", size=14)
	plt.figure(figsize=(12, 8))
	plt.scatter(years, Brazil,
	color='darkblue',
	alpha=0.5,
	s = b_normal * 2000)
	plt.scatter(years, India,
	color='purple',
	alpha=0.5,
	s = i_normal * 2000,
	)
	i_normal = India / India.max()
	b_normal = Brazil / Brazil.max()
	years = list(range(1980, 2014))
	import matplotlib.pyplot as plt
	plt.figure(figsize=(14, 8))
	plt.scatter(years, India, color='blue')
	plt.scatter(years, Brazil, color='orange')
	plt.xlabel("Years", size=14)
	plt.ylabel("Number of immigrants", size=14)
	plt.show()