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multiline pre for data analysis with python

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ieahleen
2021-01-01 18:36:36 +00:00
parent fa2a3752a0
commit 62fb990439
8 changed files with 38 additions and 44 deletions
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12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.md
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@ -35,25 +35,21 @@ print(s.notnull().sum())
--- ---
``` <pre>0 True
0 True
1 True 1 True
2 False 2 False
3 True 3 True
4 False 4 False
dtype: bool dtype: bool</pre>
```
--- ---
``` <pre>0 False
0 False
1 False 1 False
2 True 2 True
3 False 3 False
4 True 4 True
dtype: bool dtype: bool</pre>
```
## --video-solution-- ## --video-solution--

12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.md
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@ -32,36 +32,36 @@ print(s)
## --answers-- ## --answers--
``` <pre>
0 1.0 0 1.0
1 1.0 1 1.0
2 2.0 2 2.0
3 3.0 3 3.0
4 3.0 4 3.0
dtype: float64 dtype: float64
``` </pre>
--- ---
``` <pre>
0 NaN 0 NaN
1 1.0 1 1.0
2 2.0 2 2.0
3 2.0 3 2.0
4 3.0 4 3.0
dtype: float64 dtype: float64
``` </pre>
--- ---
``` <pre>
0 NaN 0 NaN
1 1.0 1 1.0
2 2.0 2 2.0
3 NaN 3 NaN
4 3.0 4 3.0
dtype: float64 dtype: float64
``` </pre>
## --video-solution-- ## --video-solution--

12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.md
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@ -32,25 +32,25 @@ print(A[:, :2])
## --answers-- ## --answers--
```python <pre>
[['a' 'b']] [['a' 'b']]
``` </pre>
--- ---
```py <pre>
[['b' 'c'] [['b' 'c']
['e' 'f'] ['e' 'f']
['h' 'i']] ['h' 'i']]
``` </pre>
--- ---
```py <pre>
[['a' 'b'] [['a' 'b']
['d' 'e'] ['d' 'e']
['g' 'h']] ['g' 'h']]
``` </pre>
## --video-solution-- ## --video-solution--

12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-conditional-selection-and-modifying-dataframes.md
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@ -38,33 +38,33 @@ print(certificates_earned)
## --answers-- ## --answers--
``` <pre>
Tom 13 Tom 13
Kris 11 Kris 11
Ahmad 9 Ahmad 9
Beau 7 Beau 7
Name: Longest streak, dtype: int64 Name: Longest streak, dtype: int64
``` </pre>
--- ---
``` <pre>
Certificates Time (in months) Longest streak Certificates Time (in months) Longest streak
Tom 8 16 13 Tom 8 16 13
Kris 2 5 11 Kris 2 5 11
Ahmad 5 9 9 Ahmad 5 9 9
Beau 6 12 7 Beau 6 12 7
``` </pre>
--- ---
``` <pre>
Certificates Longest streak Certificates Longest streak
Tom 8 13 Tom 8 13
Kris 2 11 Kris 2 11
Ahmad 5 9 Ahmad 5 9
Beau 6 7 Beau 6 7
``` </pre>
## --video-solution-- ## --video-solution--

6
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.md
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@ -20,13 +20,11 @@ More resources:
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below? What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
``` <pre> Certificates Time (in months) Certificates per month
Certificates Time (in months) Certificates per month
Tom 8 16 0.50 Tom 8 16 0.50
Kris 2 5 0.40 Kris 2 5 0.40
Ahmad 5 9 0.56 Ahmad 5 9 0.56
Beau 6 12 0.50 Beau 6 12 0.50</pre>
```
## --answers-- ## --answers--

12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.md
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@ -35,29 +35,29 @@ print(certificates_earned.iloc[2])
## --answers-- ## --answers--
``` <pre>
Tom 16 Tom 16
Kris 5 Kris 5
Ahmad 9 Ahmad 9
Beau 12 Beau 12
Name: Time (in months), dtype: int64 Name: Time (in months), dtype: int64
``` </pre>
--- ---
``` <pre>
Certificates 6 Certificates 6
Time (in months) 12 Time (in months) 12
Name: Beau, dtype: int64 Name: Beau, dtype: int64
``` </pre>
--- ---
``` <pre>
Certificates 5 Certificates 5
Time (in months) 9 Time (in months) 9
Name: Ahmad, dtype: int64 Name: Ahmad, dtype: int64
``` </pre>
## --video-solution-- ## --video-solution--

12
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md
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@ -33,30 +33,30 @@ print(certificates_earned[certificates_earned > 5])
## --answers-- ## --answers--
``` <pre>
Tom True Tom True
Kris False Kris False
Ahmad False Ahmad False
Beau True Beau True
dtype: int64 dtype: int64
``` </pre>
--- ---
``` <pre>
Tom 8 Tom 8
Ahmad 5 Ahmad 5
Beau 6 Beau 6
dtype: int64 dtype: int64
``` </pre>
--- ---
``` <pre>
Tom 8 Tom 8
Beau 6 Beau 6
dtype: int64 dtype: int64
``` </pre>
## --video-solution-- ## --video-solution--

4
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.md
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@ -20,13 +20,13 @@ More resources:
Given a file named `certificates.csv` with these contents: Given a file named `certificates.csv` with these contents:
``` <pre>
Name$Certificates$Time (in months) Name$Certificates$Time (in months)
Tom$8$16 Tom$8$16
Kris$2$5 Kris$2$5
Ahmad$5$9 Ahmad$5$9
Beau$6$12 Beau$6$12
``` </pre>
Fill in the blanks for the missing arguments below: Fill in the blanks for the missing arguments below: