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$25 USD / time

alexandria,

$25 USD / time

Det er for øyeblikket 1:16 p.m. her

Ble med april 7, 2012

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Mona A.

@MonaAshraf

5,0

(1 omtale)

1,0

1,0

100%

100%

$25 USD / time

alexandria,

$25 USD / time

100 %

Jobber fullført

100 %

Innenfor budsjett

100 %

I tide

N/A

Gjenansettelsesrate

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.

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Kontakte Mona A. angående jobben din

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Portefølje

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

Shawn C.

@Shawn0625

•

12 år siden

Utdanning

BA Communication Engineering

Alexandria University,

Egypt

2000 - 2005

(5 år)

Kvalifikasjoner

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

Kontakte Mona A. angående jobben din

Logg inn for å diskutere eventuelle detaljer over chat.

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