clip_threshold) that plots a histogram of the data after applying a filter that removes all the data above a maximum value, clip_threshold. The default threshold should be 1.0. The title of the plot should indicate the the number of values clipped and the value of the clipping thresho
clip_threshold) that plots a histogram of the data after applying a filter that removes all the data above a maximum value, clip_threshold. The default threshold should be 1.0. The title of the plot should indicate the the number of values clipped and the value of the clipping thresho
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Write a function clipped_hist(df, clip_threshold) that plots a histogram of the data after applying a filter that removes all the data above a maximum value, clip_threshold. The default threshold should be 1.0. The title of the plot should indicate the the number of values clipped and the value of the clipping threshold. Use a list comprehension when manipulating the data.
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HW-1.ipynb ☆
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File Edit View Insert Runtime Tools Help All changes saved
RAM
Disk
+ Code
+ Text
0.0
[120]
20.0
20.2
20.4
20.6
20.8
Problem A.4
Use the result of Problem A.3 to show tha the standard normal PDF does a nice job of interpolating the normalized hisogram when the
threshold is set high enough so that there is no clipping. Now that you have a convenience function from A.3, this should involve only one line of
code.
Part B: Gapminder dataset
- Problem B.1 - distribution of life expectancy by continent
Visualize the distribution of life expectancy using histograms or density plots, faceted by continent. Describe the shape of the distributions of
life expectancy, and any relationships you notice between life expectancy and continent.
[107] import pandas as pd
import seaborn as sns
data=pd.read_csv('https://raw.githubusercontent.com/ds5110/summer-2021/master/data/gapminder.csv')
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Transcribed Image Text:; Rot C Do
Pac
Car
FLA
E HV
Un C Do
O His
CO X
Ent
Но
L not
+
Rai
Rai
(84
sur
sur
colab.research.google.com/drive/1_8DON8KVL_16G9KBC97UMR42FB977UT4#scrollTo=Crsg-IKjFiom
1/13
HW-1.ipynb ☆
CO
File Edit View Insert Runtime Tools Help All changes saved
RAM
Disk
+ Code
+ Text
0.0
[120]
20.0
20.2
20.4
20.6
20.8
Problem A.4
Use the result of Problem A.3 to show tha the standard normal PDF does a nice job of interpolating the normalized hisogram when the
threshold is set high enough so that there is no clipping. Now that you have a convenience function from A.3, this should involve only one line of
code.
Part B: Gapminder dataset
- Problem B.1 - distribution of life expectancy by continent
Visualize the distribution of life expectancy using histograms or density plots, faceted by continent. Describe the shape of the distributions of
life expectancy, and any relationships you notice between life expectancy and continent.
[107] import pandas as pd
import seaborn as sns
data=pd.read_csv('https://raw.githubusercontent.com/ds5110/summer-2021/master/data/gapminder.csv')
3.
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