import sqlite3import pandas as pdfn1=Usersisabellareeserrela.pdf

import sqlite3
import pandas as pd
fn1="/Users/isabellareeser/relational database
project/cm_2011_table_3_3_child_victims_2011.xlsx"
project/cm_2011_table_3_5_victims_by_age_2011.xlsx"
project/cm_2011_table_3_7_victims_by_race_and_ethnicity_2011.xlsx"
df1=pd.read_excel(fn1)
df_1=df1.drop([0,1])
df_1new=df_1.rename(columns={"Table 33 Child Victims, 2011 (unique
count)":"State","Unnamed: 1":"Child Population", "Unnamed: 2":"Number of Unique
Victims","Unnamed: 3":"Rate per 1,000"})
df_2new=df_2.rename(columns={"Table 35 Victims by Age, 2011 (unique
count)":"State","Unnamed: 1":"Age <1 Child Populations", "Unnamed: 2":"Number of Unique
Victims Age <1","Unnamed: 3":"Rate per 1,000 Age <1", "Unnamed: 4": "Age 1 Child
Populations", "Unnamed: 5": "Number of Unique Victims Age 1", "Unnamed: 6": "Rate per
1,000 Age 1", "Unnamed: 7": "Age 2 Child Populations", "Unnamed: 8": "Number of Unique
Victims Age 2", "Unnamed: 9": "Rate per 1,000 Age 2", "Unnamed: 10": "Age 3 Child

1,000 Age 11", "Unnamed: 37": "Age 12 Child Populations", "Unnamed: 38": "Number of
Unique Victims age 12", "Unnamed: 39": "Rate per 1,000 Age 12", "Unnamed: 40": "Age 13
Child Populations", "Unnamed: 41": "Number of Unique Victims Age 13", "Unnamed: 42":
"Rate per 1,000 Age 13", "Unnamed: 43": "Age 14 Child Populations", "Unnamed: 44":
"Number of Unique Victims Age 14", "Unnamed: 45": "Rate per 1,000 Age 14", "Unnamed:
46": "Age 15 Child Populations", "Unnamed: 47": "Number of Unique Victims Age 15",
"Unnamed: 48": "Rate per 1,000 Age 15", "Unnamed: 49": "Age 16 Child Populations",
"Unnamed: 50": "Number of Unique Victims Age 16", "Unnamed: 51": "Rate per 1,000 Age
16", "Unnamed: 52": "Age 17 Child Populations", "Unnamed: 53": "Number of Unique Victims
Age 17", "Unnamed: 54": "Rate per 1,000 Age 17", "Unnamed: 55": "Unborn, Unknown, and
18-21", "Unnamed: 56": "Total Unique Victims For Age" })
df_3new=df_3.rename(columns={"Table 37 Victims by Race and Ethnicity, 2011 (unique
count)":"State","Unnamed: 1":"African American Child Populations", "Unnamed: 2":"Number
of Unique Victims African American","Unnamed: 3":"Rate per 1,000 African American",
"Unnamed: 4": "American Indian or Alaska Native Child Populations", "Unnamed: 5": "Number
of Unique Victims American Indian or Alaska Native", "Unnamed: 6": "Rate per 1,000
American Indian or Alaska Native", "Unnamed: 7": "Asian Child Populations", "Unnamed: 8":
"Number of Unique Victims Asian", "Unnamed: 9": "Rate per 1,000 Asian", "Unnamed: 10":
"Hispanic Child Populations", "Unnamed: 11": "Number of Unique Victims Hispanic",
"Unnamed: 12": "Rate per 1,000 Hispanic", "Unnamed: 13": "Multiple Race Child Populations",
"Unnamed: 14": "Number of Unique Victims Multiple Race", "Unnamed: 15": "Rate per 1,000
Multiple Race", "Unnamed: 16": "Pacific Islander Child Populations", "Unnamed: 17": "Number
of Unique Victims Pacific Islander", "Unnamed: 18": "Rate per 1,000 Pacific Islander",
"Unnamed: 19": "White Child Populations", "Unnamed: 20": "Number of Unique Victims
White", "Unnamed: 21": "Rate per 1,000 White", "Unnamed: 22": "Unknown Child
Populations", "Unnamed: 23": "Total Number of Unique Victims for Race" })
state=df_1new.drop([54,55,56]) age=df_2new.drop([54,55,56,57])
race=df_3new.drop([54,55,56,57,58,59,60])
race=pd.merge(state,race,on="State",how="outer")
con=sqlite3.connect("ChildMaltreatment.db")
cur=con.cursor() cur.execute("PRAGMA foreign_keys=ON;")
res=cur.execute("PRAGMA foreign_keys") res.fetchall()
q='''CREATE TABLE racetable ( State TEXT, Child_Population INTEGER,
Number_of_Unique_Victims INTEGER, Rate_per_1000 FLOAT,
African_American_Child_Populations INTEGER,

Number_of_Unique_Victims_African_American INTEGER, Rate_per_1000_African_American
FLOAT, American_Indian_or_Alaska_Native_Child_Population INTEGER,
Number_of_Unique_Victims_American_Indian_or_Alaska_Native INTEGER,
Rate_per_1000_American_Indian_or_Alaska_Native FLOAT, Asian_Child_Populations
INTEGER, Number_of_Unique_Victims_Asian INTEGER, Rate_per_1000_Asian FLOAT,
Hispanic_Child_Populations INTEGER, Number_of_Unique_Victims_Hispanic INTEGER,
Rate_per_1000_Hispanic FLOAT, Multiple_Race_Child_Populations INTEGER,
Number_of_Unique_Victims_Multiple_Race INTEGER, Rate_per_1000_Multiple_Race
FLOAT, Pacific_Islander_Child_Populations INTEGER,
Number_of_Unique_Victims_Pacific_Islander INTEGER, Rate_per_1000_Pacific_Islander
FLOAT, White_Child_Populations INTEGER, Number_of_Unique_Victims_White INTEGER,
Rate_per_1000_White FLOAT, Unknown_Child_Populations INTEGER,
Total_Number_of_Unique_Victims_for_Race INTEGER, PRIMARY KEY
(Total_Number_of_Unique_Victims_for_Race) );'''
cur.execute(q)
con.commit()
q='''CREATE TABLE agetable( State TEXT, Age_less_than_1_Child_Population INTEGER,
Number_of_Unique_Victims_Age_less_than_1 INTEGER, Rate_per_1000_Age_less_than_1
FLOAT, Age_1_Child_Populations INTEGER, Number_of_Unique_Victims_Age_1
INTEGER, Rate_per_1000_Age_1 FLOAT, Age_2_Child_Populations INTEGER,
Number_of_Unique_Victims_Age_2 INTEGER, Rate_per_1000_Age_2 FLOAT,
Age_3_Child_Populations INTEGER, Number_of_Unique_Victims_Age_3 INTEGER,
Rate_per_1000_Age_3 FLOAT, Age_4_Child_Populations INTEGER,
Number_of_Unique_Victims_age_12 INTEGER, Rate_per_1000_Age_12 FLOAT,

Rate_per_1000_Age_17 FLOAT, Unborn_Unknown_and_18_to_21 INTEGER,
Total_Unique_Victims_For_Age INTEGER, PRIMARY
KEY(Total_Unique_Victims_For_Age) );'''
cur.execute(q)
con.commit()
q='''INSERT INTO racetable SELECT * FROM race'''
cur.execute(q)
con.commit()
q='''INSERT INTO agetable SELECT * FROM age'''
cur.execute(q)
con.commit()
I keep getting an error saying race and age doesnt exist when I try insert into. Please help.

import sqlite3import pandas as pdfn1=Usersisabellareeserrela.pdf

import sqlite3import pandas as pdfn1=Usersisabellareeserrela.pdf

import sqlite3import pandas as pdfn1=Usersisabellareeserrela.pdf

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import sqlite3import pandas as pdfn1=Usersisabellareeserrela.pdf