Read and format project data
# Include and execute your code here
= pd.read_csv("https://github.com/byuidatascience/data4names/raw/master/data-raw/names_year/names_year.csv") dat
paste your elevator pitch here
# Include and execute your code here
= pd.read_csv("https://github.com/byuidatascience/data4names/raw/master/data-raw/names_year/names_year.csv") dat
Highlight the grand questions
COPY PASTE GRAND QUESTION 1 FROM THE PROJECT HERE
type your results and analysis here
# Include and execute your code here
include figures in chunks and discuss your findings in the figure.
# Include and execute your code here
200))\
alt.Chart(dat.head(="name", y="AK")\
.encode(x\
.mark_bar()
.properties(=800,
width=300
height )
My useless chart
# Include and execute your code here
= dat.head(1000)\
mydat 'year')\
.groupby(sum()\
.\
.reset_index()10)\
.tail(filter(["year", "AK","AR"])
.
display(mydat)
year | AK | AR | |
---|---|---|---|
96 | 2006 | 21.0 | 183.0 |
97 | 2007 | 28.0 | 153.0 |
98 | 2008 | 36.0 | 212.0 |
99 | 2009 | 34.0 | 179.0 |
100 | 2010 | 22.0 | 196.0 |
101 | 2011 | 41.0 | 148.0 |
102 | 2012 | 28.0 | 140.0 |
103 | 2013 | 26.0 | 134.0 |
104 | 2014 | 20.0 | 114.0 |
105 | 2015 | 28.0 | 121.0 |
COPY PASTE GRAND QUESTION FROM THE PROJECT HERE
type your results and analysis here
# Include and execute your code here
include figures in chunks and discuss your findings in the figure.
# Include and execute your code here
200))\
alt.Chart(dat.head(= "name", y = "AK")\
.encode(x .mark_bar()
My useless chart
# Include and execute your code here
= dat.head(1000)\
mydat 'year')\
.groupby(sum()\
.\
.reset_index()10)\
.tail(filter(["year", "AK","AR"])
.
display(mydat)
year | AK | AR | |
---|---|---|---|
96 | 2006 | 21.0 | 183.0 |
97 | 2007 | 28.0 | 153.0 |
98 | 2008 | 36.0 | 212.0 |
99 | 2009 | 34.0 | 179.0 |
100 | 2010 | 22.0 | 196.0 |
101 | 2011 | 41.0 | 148.0 |
102 | 2012 | 28.0 | 140.0 |
103 | 2013 | 26.0 | 134.0 |
104 | 2014 | 20.0 | 114.0 |
105 | 2015 | 28.0 | 121.0 |
COPY PASTE GRAND QUESTION FROM THE PROJECT HERE
type your results and analysis here
# Include and execute your code here
include figures in chunks and discuss your findings in the figure.
# Include and execute your code here
200))\
alt.Chart(dat.head(= "name", y = "AK")\
.encode(x .mark_bar()
My useless chart
# Include and execute your code here
= dat.head(1000)\
mydat 'year')\
.groupby(sum()\
.\
.reset_index()10)\
.tail(filter(["year", "AK","AR"])
.
display(mydat)
year | AK | AR | |
---|---|---|---|
96 | 2006 | 21.0 | 183.0 |
97 | 2007 | 28.0 | 153.0 |
98 | 2008 | 36.0 | 212.0 |
99 | 2009 | 34.0 | 179.0 |
100 | 2010 | 22.0 | 196.0 |
101 | 2011 | 41.0 | 148.0 |
102 | 2012 | 28.0 | 140.0 |
103 | 2013 | 26.0 | 134.0 |
104 | 2014 | 20.0 | 114.0 |
105 | 2015 | 28.0 | 121.0 |
#paste other your code from your python file (.py) here