Answer:
use hangouts and fb messenger to text people
Explanation:
Answer:
import pandas as pd
df = pd.read_csv('nycHistPop_csv', skiprows=5)
NY_region = list(df.columns[1: -1])
select_region = input("Enter region: ")_capitalize()
if select_region in NY_region:
pass
else:
raise("Region must be in New york")
def pop(location):
# or used describe() to replace all like: print(df[location]_describe())
print(df[location]_min())
print(df[location]_max())
print(df[location]_mean())
print(df[location]_median())
print(df[location]_td())
pop(select_region)
Explanation:
Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.
The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.
Answer:
Data modeling occurs at three levels—physical, logical, and conceptual.
- A physical model is a schema or framework for how data is physically stored in a database.
- A conceptual model identifies the high-level, user view of data.
- A logical data model sits between the physical and conceptual levels and allows for the logical representation of data to be separate from its physical storage.
