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$25 USD / hora

Bandera de EGYPT

alexandria,

$25 USD / hora

Aquí son las 6:14 a. m.

Se unió el abril 7, 2012

0 Recomendaciones

Mona A.

@MonaAshraf

5,0

(1 comentario)

1,0

1,0

100%

100%

$25 USD / hora

Bandera de EGYPT

alexandria,

$25 USD / hora

100 %

Trabajos finalizados

100 %

Dentro del presupuesto

100 %

A tiempo

N/A

Tasa de recontratación

Data Analyst

I am a passionate data analyst with analytical thinking, problem-oriented and I love discovering connections and finding patterns in the data to synthesize complex analytical tasks into data-driven stories. I have experienced the power of online learning and it changed my life.

Ver todo Python Developers en Egypt

Contacta Mona A. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

10679380

Query A Digital Music Store Database (pdf file attached)

10679369

Layoffs 2022 (Jupyter notebook has been attached )

10679367

Explore US Bikeshare Data (python file has been attached)

10679360

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

Flight Delays and Cancellations tableau project

10679319

No show appointments (Jupyter notebook attached)

10679380

Query A Digital Music Store Database (pdf file attached)

10679369

Layoffs 2022 (Jupyter notebook has been attached )

10679367

Explore US Bikeshare Data (python file has been attached)

10679360

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

The data set tracks the on-time performance of US domestic flights in 2015. I used Tableau for creating visualizations to reveal insights, creating dashboards and making a story about the parts of the flight, causing the most delays for making data-driven decisions. I found that the total delays calculated from causes delays, has too many missing values so I created a calculated field from the arrival delay column with only negative values which represent actual delays and I used it instead of the total delays to determine which Airline company is the worst and best in terms of delay. And for an unbiased decision about the overall performance of the Airline companies which also have ahead of the scheduled arrival (positive values in arrival delay), I also made another visualization with arrival delay column (negative and positive values) and I found that the worst Airline is the same but the best Airline is different.
Note : pdf has been attached for describing insights.

Flight Delays and Cancellations tableau project

Flight Delays and Cancellations tableau project

10679319

No show appointments (Jupyter notebook attached)

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$30,00 USD

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Very Good Worker, keen and hard working. Job done A++++ I have asked him to continue with work for me.

Shawn C.

@Shawn0625

•

hace 12 años

Educación

BA Communication Engineering

Alexandria University,

Egypt

2000 - 2005

(5 años)

Calificaciones

Udacity

2022

Certificate https://drive.google.com/file/d/1k6Q62vnwvkuIwjeUtQ1JiCrDRvM7854P/view?usp=share_link

Coursera

2022

Certificate https://drive.google.com/file/d/1IHOYeYo8_3-hUmh6OkQ9QFbzUnvbAcym/view?usp=share_link

Coursera

2022

Certificate https://drive.google.com/file/d/1yUu6F0Hp_WxgaxJQW1hE9G1E6bjAYsBR/view?usp=share_link

Contacta Mona A. sobre tu trabajo

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Principales habilidades

Data Processing

Business Analysis

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