Econometrics and Data Science by Tshepo Chris Nokeri

Author:Tshepo Chris Nokeri
Language: eng
Format: epub
ISBN: 9781484274347
Publisher: Apress

Listing 5-5Loading Data

Table 5-2South Africa’s Macroeconomic Data

Date

urban_pop

gni_per_capita

gdp_growth

life_exp

2020-01-01

39946775.0

5410.0

-6.959604

NaN

2019-01-01

39149715.0

6040.0

0.152583

64.131

2018-01-01

38348227.0

5750.0

0.787056

63.857

2017-01-01

37540921.0

5410.0

1.414513

63.538

2016-01-01

36726640.0

5470.0

0.399088

63.153

Table 5-2 shows that there are missing values in the data. Listing 5-6 replaces the missing values with the mean value (this is done for each variable in the data).df["urban_pop"] = df["urban_pop"].fillna(df["urban_pop"].mean())

df["gni_per_capita"] = df["gni_per_capita"].fillna(df["gni_per_capita"].mean())

df["gdp_growth"] = df["gdp_growth"].fillna(df["gdp_growth"].mean())

df["life_exp"] = df["life_exp"].fillna(df["life_exp"].mean())

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