Power BI ‘WaFish’ List0709

Pradeep Ankem
4 min readSep 12, 2023

Flow 🌊

┌───── •✧✧• ─────┐
……….Challenges……….
└───── •✧✧• ─────┘

  • Print Hello World in three levels /N87
  • Print Hello world for ten times /N21
  • Print Hello world and Hello earth for ten times /N22
  • Create a dataset with “Hello world” as 10 rows in first column, and do a Card visual and Bar Chart /N32
  • In mtcars dataset, do a scatter plot between `mpg and wt` or `mpg and hp` /N12
  • Get the photo of Best Mileage Car in mtcars /N290
  • Compute Correlation between mpg and wt /N11
  • Draw an area chart of mileage and get the best car in background /N876
  • Simulate two dice /N0980
  • Simulate three coins /N12121
  • Get the iris dataset from excel /N8766
  • Grab Planets dataset from wikipedia /N20
  • Grab World Population from wikipedia /N8764
  • Create a Expense Sheet in Excel /N777
  • Creat a Map visual on Countries using wikipedia data /N12120
  • Draw Planets as scatter plot /N65
  • Do a financial model of a school /N1197
  • Use Darkmode to whitemode /N098
  • Get Data from a PDF file /N98708
  • Append the data from a PDF file /N212097
  • Change images as per IPL orange cap /N109
  • Toss a dice for 100 times in DAX /N2143
  • Say “Hello World” 10 times in DAX /N087
  • Create a Cricket Card for the Game /N076
  • Pick up 11 Cricketers from the 22 in any next game /N1207
  • Create a Task list of your own /N1108
  • Create a Budget list of your won /N076
  • Create a Expense list of your own /N1754
  • Create a summary table of 100 times dice throw /N742
  • Imitate the IPL Dashboard as is /N1285
  • Imitate the Adventure Works Dashboard as is /N32765
  • Link up Crime Reports with State-wide Reports /N1208
  • Learn to make Hypothesis building with Titanic Dataset /N97384
  • Will you provide loan to a person /N2356
  • Is the person’s lump is malignant or benign /N34567
  • Is the person’s portfolio will stand long term /N3495
  • Why you should not go for a credit card loan /N436
  • Why you should not take a hand loan if they demand a Compunded Annual Growth Rate ? /N4958
  • Can I solve the shortest route using Power BI ? /N235
  • Let’s take the dates to understand Birthday Paradox /N937459
  • How to find if someone is a fraud, if he asks to pay upfront before giving job /N8976

Heuristics

  • Use Trend in scatter plot /N112
  • If you cannot join in Navy, be a pirate /N877
  • Funnel will not have unique values, fish will be in flower braces {..}
  • Links will be connected to challenges with square braces [..]

Fish/Topics 🐟🐟

Notes: List of all visuals

  • Pie Chart /N111
  • Donought Chart /N007
  • Bar Chart /N231
  • Stacked Bar Chart /N216
  • Area Chart /N44
  • Text Box /N19
  • Image Box /N1
  • Wordcloud /N2
  • Histogram /N4
  • Card Visual /N5
  • Table Visual /N123
  • Matrix Visual /N909
  • AI Visual ~ Key Influencer /N009
  • AI Visual ~ Decomposition Tree /N1123
  • Slicer /N109
  • Maps /N9090
  • Gauge /N1198
  • Python/R Visual /N76
  • Get Data from CSV using web /N9
  • Get Data from Excel /N1234
  • Get Data from JSON /N098
  • Get Data from Wikipedia Table /N1245
  • Query Editor /N0987
  • Measure /N77777
  • Bookmarks /N654
  • AI Text Analytics /N11
  • Powe BI web service /N19
  • How to do Data Refresh /N09
  • How to do Row level security /N34
  • [Break point 1209 for class notes]
  • SQL basics /N654
  • Action Buttons /N3209
  • Power BI Themes /N4329
  • Manage Relationships /N76
  • Work on different joins /N6547
  • Time intelligence in DAX /N8765
  •  Introduction of relationships
  •  Creating relationships
  •  Cardinality
  •  Cross filter direction
  •  Use of inactive relationships
  •  Introduction of DAX
  •  DAX functions
  •  Context in DAX
  •  Calculated columns using DAX
  •  Measures using DAX
  •  Calculated tables using DAX
  •  Learning about table, information, logical, text, iterator,
  •  Time intelligence functions (YTD, QTD, MTD)
  •  Cumulative values, calculated tables, and ranking and rank over groups
  •  Date and time functions
  •  Identify poorly performing measures, relationships, and visuals
  •  DAX advanced features

Funnel 🥅

  • Print Hello World in three levels /N87 {N19} {N0987} {N77777}
  • Print Hello world for ten times /N21
  • Print Hello world and Hello earth for ten times /N22
  • Create a dataset with “Hello world” as 10 rows in first column, and do a Card visual and Bar Chart /N32
  • In mtcars dataset, do a scatter plot between `mpg and wt` or `mpg and hp` /N12 #mtcars
  • Get the photo of Best Mileage Car in mtcars /N290
  • Compute Correlation between mpg and wt /N11
  • Draw an area chart of mileage and get the best car in background /N876
  • Simulate two dice /N0980
  • Simulate three coins /N12121
  • Get the iris dataset from excel /N8766
  • Grab Planets dataset from wikipedia /N20
  • Grab World Population from wikipedia /N8764
  • Create a Expense Sheet in Excel /N777
  • Creat a Map visual on Countries using wikipedia data /N12120

Tools/Concepts ⛏️

Only 2 to 3 words, hence use them as Hashtags

  • Power BI
  • SQL
  • Excel
  • DAX Measures
  • Power Query Editor
  • Data Visualisation
  • Data Computation
  • Data Modelling
  • Data Analysis
  • Data Science Modelling
  • Text Analytics
  • iris dataset #iris
  • mtcars dataset #mtcars

Additional Notes/Links

  • IRIS dataset link /N8766.a [#iris]
  • mtcars dataset link [#mtcars]
  • Add junction points / IFTT
  • Study of optionality
  • IPL dataset link

Class Notes — Funnel

  • Pie Chart /N111 [+]
  • Donought Chart /N007 [+]
  • Bar Chart /N231 (Vertical & Horizontal) [+]
  • Stacked Bar Chart /N216 [+]
  • Area Chart /N44 [+]
  • Text Box /N19 [+]
  • Image Box /N1 [+]
  • Wordcloud /N2 [-]
  • Histogram /N4 [-]
  • Card Visual /N5 [+]
  • Table Visual /N123 [-]
  • Matrix Visual /N909 [-]
  • AI Visual ~ Key Influencer /N009 [+]
  • AI Visual ~ Decomposition Tree /N1123 [+]
  • Slicer /N109 [-]
  • Maps /N9090 [+]
  • Gauge /N1198 [-]
  • Python/R Visual /N76 [-]
  • Get Data from CSV using web /N9 [+]
  • Get Data from Excel /N1234 [+]
  • Get Data from JSON /N098 [+]
  • Get Data from Wikipedia Table /N1245 [+]
  • Query Editor /N0987 [+]
  • Measure /N77777 [+]
  • Bookmarks /N654 [-]
  • AI Text Analytics /N11 [-]
  • Powe BI web service /N19 [-]
  • How to do Data Refresh /N09 [-]
  • How to do Row level security /N34 [-]
  • [Break point 1209 for class notes]

Event Coordinates:

  • Power BI Batch II

Hastags

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