how does it differ from the
white kkdata schema compare to the kkdata6. This is database;
Homework Answers
Comparing kkdata to the kkdata6 there is no ex and reference table..in the new white kkdata.
Above we have NULL value for wrkno that is there is restriction that we don't use null values in white kkdata.and we are able to enter null values in kkdata6.
There is no housecat attribute in the kkdata6
Except above all the attributes are same and the data base is same
Add Answer to:
how does it differ from the
white kkdata schema compare to the kkdata6. This is database;...
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Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with ...
Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
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I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
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uncertainty of grades and the consequences of those grades. Can
knowledge of a midterm grade be used to predict a final exam grade?
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Please help we are suppose to explain what the C code does.
This is the electronics database
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Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
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