Repository created with LinkedIn profile analysis project done

Overview

WhatsApp Image 2021-12-28 at 14 15 08

EN/en

Repository created with LinkedIn profile analysis project done. The dataset was imported from my linkedin profile through the settings and so I chose some columns that I found more relevant. The following columns were analyzed:

Causes You Care

Certifications

connections

Endorsement Information Received

Skills

A small treatment was done using Python and Pandas, and then a dashboard was created in Power BI for analysis. The link to the dashboard is below:

https://app.powerbi.com/view?r=eyJrIjoiZjEyNWNkOWEtYjUyYi00NzBjLWEzOGQtNTQwNGUxYzU2ZmU1IiwidCI6IjFkZTVhZTdkLTJlMjUtNDliNC1iOGMwLWUyOGZmZTUzMDgwYSJ9

##Libraries

The following libraries/packages need to be installed before running the project:

pip install pandas

PT/br

Repositório criado com o projeto de análise de perfil do LinkedIn feita. O dataset foi importado do próprio perfil do meu linkedin através das configurações e assim escolhi algumas colunas que achei mais relevante. As seguintes colunas foram analisadas:

Causas que Você se Importa

Certificações

Conexões

Informações de Endosso Recebidas

Habilidades

Foi feito um pequeno tratamento utilizando Python e Pandas, e logo em seguida foi criado um dashboard no Power BI para análise. O link para o dashboard se encontra abaixo:

https://app.powerbi.com/view?r=eyJrIjoiZjEyNWNkOWEtYjUyYi00NzBjLWEzOGQtNTQwNGUxYzU2ZmU1IiwidCI6IjFkZTVhZTdkLTJlMjUtNDliNC1iOGMwLWUyOGZmZTUzMDgwYSJ9

Bibliotecas

As seguintes bibliotecas /pacotes precisam ser instalados antes de rodar o projeto:

pip install pandas
Owner
Mayara Canaver
[EN/en] Student of Information System in UNESP and Data Cientist Jr. . . . . . . .[PT/br] Estudante de Sistemas de Informação na UNESP e Cientista de Dados Jr
Mayara Canaver
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

Donald F. Ferguson 4 Mar 06, 2022
CPSPEC is an astrophysical data reduction software for timing

CPSPEC manual Introduction CPSPEC is an astrophysical data reduction software for timing. Various timing properties, such as power spectra and cross s

Tenyo Kawamura 1 Oct 20, 2021
Pandas and Spark DataFrame comparison for humans

DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand

Capital One 259 Dec 24, 2022
.npy, .npz, .mtx converter.

npy-converter Matrix Data Converter. Expand matrix for multi-thread, multi-process Divid matrix for multi-thread, multi-process Support: .mtx, .npy, .

taka 1 Feb 07, 2022
Toolchest provides APIs for scientific and bioinformatic data analysis.

Toolchest Python Client Toolchest provides APIs for scientific and bioinformatic data analysis. It allows you to abstract away the costliness of runni

Toolchest 11 Jun 30, 2022
A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

Jackson Storm 107 Jan 04, 2023
This creates a ohlc timeseries from downloaded CSV files from NSE India website and makes a SQLite database for your research.

NSE-timeseries-form-CSV-file-creator-and-SQL-appender- This creates a ohlc timeseries from downloaded CSV files from National Stock Exchange India (NS

PILLAI, Amal 1 Oct 02, 2022
Data Analytics: Modeling and Studying data relating to climate change and adoption of electric vehicles

Correlation-Study-Climate-Change-EV-Adoption Data Analytics: Modeling and Studying data relating to climate change and adoption of electric vehicles I

Jonathan Feng 1 Jan 03, 2022
A data structure that extends pyspark.sql.DataFrame with metadata information.

MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info

Invent Analytics 8 Feb 15, 2022
Template for a Dataflow Flex Template in Python

Dataflow Flex Template in Python This repository contains a template for a Dataflow Flex Template written in Python that can easily be used to build D

STOIX 5 Apr 28, 2022
Port of dplyr and other related R packages in python, using pipda.

Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from t

179 Dec 21, 2022
Hidden Markov Models in Python, with scikit-learn like API

hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and

2.7k Jan 03, 2023
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are st

32 Dec 20, 2022
Approximate Nearest Neighbor Search for Sparse Data in Python!

Approximate Nearest Neighbor Search for Sparse Data in Python! This library is well suited to finding nearest neighbors in sparse, high dimensional spaces (like text documents).

Meta Research 906 Jan 01, 2023
Uses MIT/MEDSL, New York Times, and US Census datasources to analyze per-county COVID-19 deaths.

Covid County Executive summary Setup Install miniconda, then in the command line, run conda create -n covid-county conda activate covid-county conda i

Ahmed Fasih 1 Dec 22, 2021
Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma

Avnika Mehta 1 Jan 27, 2022
Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022
A neural-based binary analysis tool

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

Facebook Research 208 Dec 22, 2022
Building house price data pipelines with Apache Beam and Spark on GCP

This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.

1 Nov 22, 2021
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022