Thiago Bernardes Carvalho Thiagobc23

## leo_gf.csv

          
            year
            gf
            gf_age
            leo_age

            
              1998
              Gisele Bundchen
              18
              24

            
              1999
              Gisele Bundchen
              19
              25

            
              2000
              Gisele Bundchen
              20
              26

            
              2001
              Gisele Bundchen
              21
              27

            
              2002
              Gisele Bundchen
              22
              28

            
              2003
              Gisele Bundchen
              23
              29

            
              2004
              Bar Refaeli
              20
              30

            
              2005
              Bar Refaeli
              21
              31

            
              2006
              Bar Refaeli
              22
              32

## jitter.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import seaborn as sns

colors = {'bg':'#3D3C42', 'data':'#FEFBF6', 'data2':'#A6D1E6'}

# data
url = 'https://gist.githubusercontent.com/Thiagobc23/0bc5c5f530e8f8fd98710fe1ccb407ce/raw/4e084668a83ab9d0a0ace1425742835a0563bcef/quality.csv'

## dummy_data
id,Product,Quantity (Kg),Value per Kg,Cost per Kg,Date,Production Timeliness,Packing Timeliness,Shipping Timeliness,Delivery Timeliness,Client,Channel,Promotion,Returned
1,Cheddar,53.2,61.07,0.88,2/24/2021,4,2,1,1,Death Star II,Fax,,
2,Gouda,101.7,181.17,0.83,1/18/2021,18,2,2,1,Xavier's Academy,Fax,,
3,Feta,24.3,27.48,0.87,6/1/2021,34,3,0,9,Hogwarts,Fax,,
4,Mozzarella,140.1,102.83,0.84,1/14/2021,43,2,1,14,Death Star II,Phone,,
5,Parmigiano-Reggiano,48.3,188.53,0.9,5/22/2021,31,1,2,9,Death Star II,Phone,,
6,Mozzarella,14.4,162.78,0.9,5/21/2021,14,1,0,15,Dunder Mifflin,Telepathy,Psychedelic Cheese,
7,Parmigiano-Reggiano,43.9,120.86,0.94,3/7/2021,11,4,2,9,Gondor,Website,,
8,Feta,18.4,80.56,0.85,1/16/2021,45,1,2,2,Dunder Mifflin,Phone,,
9,Roquefort,109.6,195.14,0.89,1/27/2021,21,2,2,7,Del Boca Vista,Fax,,

## anand.csv

          
            Rating
            Date

            
              2751
              2022-01-01

            
              2751
              2021-12-02

            
              2751
              2021-11-03

            
              2753
              2021-10-04

            
              2753
              2021-09-05

            
              2753
              2021-08-06

            
              2753
              2021-07-07

            
              2753
              2021-06-08

            
              2753
              2021-05-09

## caruana.csv

          
            Rating
            Date

            
              2792
              2022-01-01

            
              2792
              2021-12-01

            
              2791
              2021-11-01

            
              2800
              2021-10-01

            
              2800
              2021-09-01

            
              2806
              2021-08-01

            
              2806
              2021-07-01

            
              2820
              2021-06-01

            
              2820
              2021-05-01

## nepo.csv

          
            Rating
            Date

            
              2773
              2022-01-01

            
              2782
              2021-12-01

            
              2782
              2021-11-01

            
              2782
              2021-10-01

            
              2792
              2021-09-01

            
              2792
              2021-08-01

            
              2792
              2021-07-01

            
              2792
              2021-06-01

            
              2792
              2021-05-01

## magnus.csv

          
            Rating
            Date

            
              2865
              2022-01-01

            
              2856
              2021-12-01

            
              2855
              2021-11-01

            
              2855
              2021-10-01

            
              2855
              2021-09-01

            
              2847
              2021-08-01

            
              2847
              2021-07-01

            
              2847
              2021-06-01

            
              2847
              2021-05-01

## donut.py
import matplotlib.pyplot as plt

data = [87,13]

fig, ax = plt.subplots(figsize=(6, 6))

wedgeprops = {'width':0.3, 'edgecolor':'black', 'linewidth':3}
ax.pie(data, wedgeprops=wedgeprops, startangle=90, colors=['#5DADE2', '#515A5A'])

plt.title('Worldwide Access to Electricity', fontsize=24, loc='left')

## circular_progress_bar.py
from math import pi
import numpy as np
from matplotlib.patches import Patch
from matplotlib.lines import Line2D

# data and variables
data = [82, 75, 91]
startangle = 90
colors = ['#4393E5', '#43BAE5', '#7AE6EA']

## ridge_plot.py
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

# DATA
url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/07af955c17d1816aba58dea74d65f60210702a15/film.csv'
df = pd.read_csv(url, index_col='ID')

# Theme
sns.set_theme(style="white", rc={"axes.facecolor": (0, 0, 0, 0), 'axes.linewidth':2})
year	gf	gf_age	leo_age
1998	Gisele Bundchen	18	24
1999	Gisele Bundchen	19	25
2000	Gisele Bundchen	20	26
2001	Gisele Bundchen	21	27
2002	Gisele Bundchen	22	28
2003	Gisele Bundchen	23	29
2004	Bar Refaeli	20	30
2005	Bar Refaeli	21	31
2006	Bar Refaeli	22	32
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.lines import Line2D
	import seaborn as sns

	colors = {'bg':'#3D3C42', 'data':'#FEFBF6', 'data2':'#A6D1E6'}

	# data
	url = 'https://gist.githubusercontent.com/Thiagobc23/0bc5c5f530e8f8fd98710fe1ccb407ce/raw/4e084668a83ab9d0a0ace1425742835a0563bcef/quality.csv'
	id,Product,Quantity (Kg),Value per Kg,Cost per Kg,Date,Production Timeliness,Packing Timeliness,Shipping Timeliness,Delivery Timeliness,Client,Channel,Promotion,Returned
	1,Cheddar,53.2,61.07,0.88,2/24/2021,4,2,1,1,Death Star II,Fax,,
	2,Gouda,101.7,181.17,0.83,1/18/2021,18,2,2,1,Xavier's Academy,Fax,,
	3,Feta,24.3,27.48,0.87,6/1/2021,34,3,0,9,Hogwarts,Fax,,
	4,Mozzarella,140.1,102.83,0.84,1/14/2021,43,2,1,14,Death Star II,Phone,,
	5,Parmigiano-Reggiano,48.3,188.53,0.9,5/22/2021,31,1,2,9,Death Star II,Phone,,
	6,Mozzarella,14.4,162.78,0.9,5/21/2021,14,1,0,15,Dunder Mifflin,Telepathy,Psychedelic Cheese,
	7,Parmigiano-Reggiano,43.9,120.86,0.94,3/7/2021,11,4,2,9,Gondor,Website,,
	8,Feta,18.4,80.56,0.85,1/16/2021,45,1,2,2,Dunder Mifflin,Phone,,
	9,Roquefort,109.6,195.14,0.89,1/27/2021,21,2,2,7,Del Boca Vista,Fax,,
	Rating	Date
	2751	2022-01-01
	2751	2021-12-02
	2751	2021-11-03
	2753	2021-10-04
	2753	2021-09-05
	2753	2021-08-06
	2753	2021-07-07
	2753	2021-06-08
	2753	2021-05-09
	Rating	Date
	2792	2022-01-01
	2792	2021-12-01
	2791	2021-11-01
	2800	2021-10-01
	2800	2021-09-01
	2806	2021-08-01
	2806	2021-07-01
	2820	2021-06-01
	2820	2021-05-01
	Rating	Date
	2773	2022-01-01
	2782	2021-12-01
	2782	2021-11-01
	2782	2021-10-01
	2792	2021-09-01
	2792	2021-08-01
	2792	2021-07-01
	2792	2021-06-01
	2792	2021-05-01
	Rating	Date
	2865	2022-01-01
	2856	2021-12-01
	2855	2021-11-01
	2855	2021-10-01
	2855	2021-09-01
	2847	2021-08-01
	2847	2021-07-01
	2847	2021-06-01
	2847	2021-05-01
	import matplotlib.pyplot as plt

	data = [87,13]

	fig, ax = plt.subplots(figsize=(6, 6))

	wedgeprops = {'width':0.3, 'edgecolor':'black', 'linewidth':3}
	ax.pie(data, wedgeprops=wedgeprops, startangle=90, colors=['#5DADE2', '#515A5A'])

	plt.title('Worldwide Access to Electricity', fontsize=24, loc='left')
	from math import pi
	import numpy as np
	from matplotlib.patches import Patch
	from matplotlib.lines import Line2D

	# data and variables
	data = [82, 75, 91]
	startangle = 90
	colors = ['#4393E5', '#43BAE5', '#7AE6EA']