Emiliana Seltzer (EmilianaSeltzer)

EmilianaSeltzer

Geek Repo

Location:Auckland, New Zealand

Github PK Tool:Github PK Tool

Emiliana Seltzer's repositories

ANALYSIS-OF-THE-POPULATION-OF-SPAIN

The project will consist of connecting to the database of the INE, the national statistics institute of Spain. Our objective will be to clean this data and analyze it to draw a series of conclusions about how the Spanish population has varied over time.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Exercises_with_Pandas_Functions

Python and pandas short exercises carried out during the Unicron Academy Data Analytics and Business Intelligence course

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Python_Pandas_Co2_Global_analysis

The data set of global Co2 emissions is analysed in two stages. First, we do a general and basic analysis to apply logic, and understand some values of the Dataset such as TOTAL or GLOBAL, in the second stage we import the Pandas library and perform an exploratory analysis of such values but in a simpler way, at the end adding some visualisations.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Python_Pandas_Titanic_Survival_Analysis

What characteristics did the people who survived have?

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Python_Clothing_store_analysis

A simple analysis was carried out with Unicorn Academy, for a clothing store where an analysis of total and monthly sales and by type of product is requested.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

SQL_HR_Unicorn

I wrote a code for a SQL case in UnicronProject to create a Stored Procedure, to analyze the employees who earn more than the median salary in a Human Resourses company

Stargazers:0Issues:0Issues:0

Python_Text_Analytics

The data science department of the company is asking us for help with some text for training on a Deep learning model. We need to: Isolate the words, calculate the total number of words, calculate the average of words repetition, count of times the word appears in alphabetical order, count of times the most and least frequent word appears.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0