Dashboard

Keywords Analyzed

- matplotlib - numpy - pandas - paths: - server_RK.py - ABBA_TEST.csv

import pandas as pd import numpy as np import server_RK as srk from pyodide import create_proxy GHR = 'Google HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GHD = 'Google HOU Difference' GP = 'Google Previous' GMHR = 'Google Mobile HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GMHD = 'Google Mobile HOU Difference' GMP = 'Google Mobile HOU Previous' BNGR = 'Bing US Rank' KW = 'Keyword' VSBY = 'Visibility' BNGDF = "Bing US Difference" BNGP = 'Bing US Previous' YAHR = 'Yahoo! Rank' KW = 'Keyword' VSBY = 'Visibility' YAHDIF = "Yahoo! Difference" YAHP = 'Yahoo! Previous' SE = "SE" NOTE = "NOTE" GMHR = 'Google Mobile HOU Rank' GMHD = 'Google Mobile HOU Difference' RP = 'Ranking pages' REPORT_NAME = ['Google Report', 'Google Mobile Report', 'Bing Report', 'Yahoo! Report'] COLUMN_NAME = ['Keyword', 'Ranking pages', 'Google HOU Rank', 'Google Previous', 'Google HOU Difference', 'NOTE'] frame_data = srk.FIND_FRAME("ABBA_TEST.csv") GOD = frame_data[0] GOD_NAME = REPORT_NAME[0] KEY_PARENT = Element("KEY_WORD") KEY_PARENT.clear() KEY_PARENT.element.innerHTML = str(len(GOD))

Report Created

1/2/2023

Geographic Target

Local

Services

SEO

Search Engine Listings

Active Keywords Tracked

Keyword Visibility Index

Top Map Rankings

Google Desktop Google Mobile Bing Yahoo

Google Reports

- matplotlib - numpy - pandas - paths: - server_RK.py - ABBA_TEST.csv

import pandas as pd import numpy as np import server_RK as srk from pyodide import create_proxy GHR = 'Google HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GHD = 'Google HOU Difference' GP = 'Google Previous' GMHR = 'Google Mobile HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GMHD = 'Google Mobile HOU Difference' GMP = 'Google Mobile HOU Previous' BNGR = 'Bing US Rank' KW = 'Keyword' VSBY = 'Visibility' BNGDF = "Bing US Difference" BNGP = 'Bing US Previous' YAHR = 'Yahoo! Rank' KW = 'Keyword' VSBY = 'Visibility' YAHDIF = "Yahoo! Difference" YAHP = 'Yahoo! Previous' SE = "SE" NOTE = "NOTE" GMHR = 'Google Mobile HOU Rank' GMHD = 'Google Mobile HOU Difference' RP = 'Ranking pages' REPORT_NAME = ['Google Report', 'Google Mobile Report', 'Bing Report', 'Yahoo! Report'] COLUMN_NAME = ['Keyword', 'Ranking pages', 'Google HOU Rank', 'Google Previous', 'Google HOU Difference', 'NOTE'] frame_data = srk.FIND_FRAME("ABBA_TEST.csv") GOD = frame_data[0] GOD_NAME = REPORT_NAME[0] for i in range(len(frame_data[0])): CHILD = document.createElement("tr") CHILD.style.fontFamily = "SFPROREG" CHILD.style.position = "relative" CHILD.style.top = "-50px" CHILD.style.background = "white" parent = document.querySelector("#ROWS") parent.appendChild(CHILD) for r in range(6): LAST_CHILD = document.createElement("td") DF_GOD = pd.DataFrame(data=GOD) LAST_CHILD.style.fontFamily = "SFPROREG" LAST_CHILD.innerHTML = DF_GOD[COLUMN_NAME[r]][i] CHILD.appendChild(LAST_CHILD)

Keyword	Ranking Pages	Rank	Previous	Difference	Note
Keyword	Ranking Pages	Rank	Previous	Difference	Note

Google Mobile Reports

- matplotlib - numpy - pandas - paths: - server_RK.py - ABBA_TEST.csv

import pandas as pd import numpy as np import server_RK as srk from pyodide import create_proxy GHR = 'Google HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GHD = 'Google HOU Difference' GP = 'Google Previous' GMHR = 'Google Mobile HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GMHD = 'Google Mobile HOU Difference' GMP = 'Google Mobile HOU Previous' BNGR = 'Bing US Rank' KW = 'Keyword' VSBY = 'Visibility' BNGDF = "Bing US Difference" BNGP = 'Bing US Previous' YAHR = 'Yahoo! Rank' KW = 'Keyword' VSBY = 'Visibility' YAHDIF = "Yahoo! Difference" YAHP = 'Yahoo! Previous' SE = "SE" NOTE = "NOTE" GMHR = 'Google Mobile HOU Rank' GMHD = 'Google Mobile HOU Difference' RP = 'Ranking pages' REPORT_NAME = ['Google Report', 'Google Mobile Report', 'Bing Report', 'Yahoo! Report'] COLUMN_NAME = ['Keyword', 'Ranking pages', GMHR, GMP , GMHD, 'NOTE'] frame_data = srk.FIND_FRAME("ABBA_TEST.csv") GOM = frame_data[1] GOM_NAME = REPORT_NAME[1] for i in range(len(frame_data[1])): CHILD = document.createElement("tr") CHILD.style.fontFamily = "SFPROREG" CHILD.style.position = "relative" CHILD.style.top = "-50px" CHILD.style.background = "white" parent = document.querySelector("#ROWS1") parent.appendChild(CHILD) for r in range(6): LAST_CHILD = document.createElement("td") DF_GOM = pd.DataFrame(data=GOM) LAST_CHILD.style.fontFamily = "SFPROREG" LAST_CHILD.innerHTML = DF_GOM[COLUMN_NAME[r]][i] CHILD.appendChild(LAST_CHILD)

Keyword	Ranking Pages	Rank	Previous	Difference	Note
Keyword	Ranking Pages	Rank	Previous	Difference	Note

Bing Reports

- matplotlib - numpy - pandas - paths: - server_RK.py - ABBA_TEST.csv

import pandas as pd import numpy as np import server_RK as srk from pyodide import create_proxy GHR = 'Google HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GHD = 'Google HOU Difference' GP = 'Google Previous' GMHR = 'Google Mobile HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GMHD = 'Google Mobile HOU Difference' GMP = 'Google Mobile HOU Previous' BNGR = 'Bing US Rank' KW = 'Keyword' VSBY = 'Visibility' BNGDF = "Bing US Difference" BNGP = 'Bing US Previous' YAHR = 'Yahoo! Rank' KW = 'Keyword' VSBY = 'Visibility' YAHDIF = "Yahoo! Difference" YAHP = 'Yahoo! Previous' SE = "SE" NOTE = "NOTE" GMHR = 'Google Mobile HOU Rank' GMHD = 'Google Mobile HOU Difference' RP = 'Ranking pages' REPORT_NAME = ['Google Report', 'Google Mobile Report', 'Bing Report', 'Yahoo! Report'] COLUMN_NAME = ['Keyword', 'Ranking pages', BNGR, BNGP, BNGDF, 'NOTE'] frame_data = srk.FIND_FRAME("ABBA_TEST.csv") BNG = frame_data[2] BNG_NAME = REPORT_NAME[2] for i in range(len(frame_data[2])): CHILD = document.createElement("tr") CHILD.style.fontFamily = "SFPROREG" CHILD.style.position = "relative" CHILD.style.top = "-50px" CHILD.style.background = "white" parent = document.querySelector("#ROWS2") parent.appendChild(CHILD) for r in range(6): LAST_CHILD = document.createElement("td") DF_BNG = pd.DataFrame(data=BNG) LAST_CHILD.style.fontFamily = "SFPROREG" LAST_CHILD.innerHTML = DF_BNG[COLUMN_NAME[r]][i] CHILD.appendChild(LAST_CHILD)

Keyword	Ranking Pages	Rank	Previous	Difference	Note
Keyword	Ranking Pages	Rank	Previous	Difference	Note

Yahoo Reports

- matplotlib - numpy - pandas - paths: - server_RK.py - ABBA_TEST.csv

import pandas as pd import numpy as np import server_RK as srk from pyodide import create_proxy GHR = 'Google HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GHD = 'Google HOU Difference' GP = 'Google Previous' GMHR = 'Google Mobile HOU Rank' KW = 'Keyword' VSBY = 'Visibility' GMHD = 'Google Mobile HOU Difference' GMP = 'Google Mobile HOU Previous' BNGR = 'Bing US Rank' KW = 'Keyword' VSBY = 'Visibility' BNGDF = "Bing US Difference" BNGP = 'Bing US Previous' YAHR = 'Yahoo! Rank' KW = 'Keyword' VSBY = 'Visibility' YAHDIF = "Yahoo! Difference" YAHP = 'Yahoo! Previous' SE = "SE" NOTE = "NOTE" GMHR = 'Google Mobile HOU Rank' GMHD = 'Google Mobile HOU Difference' RP = 'Ranking pages' REPORT_NAME = ['Google Report', 'Google Mobile Report', 'Bing Report', 'Yahoo! Report'] COLUMN_NAME = ['Keyword', 'Ranking pages', YAHR, YAHP, YAHDIF, 'NOTE'] frame_data = srk.FIND_FRAME("ABBA_TEST.csv") YAH = frame_data[3] YAH_NAME = REPORT_NAME[3] for i in range(len(frame_data[3])): CHILD = document.createElement("tr") CHILD.style.fontFamily = "SFPROREG" CHILD.style.position = "relative" CHILD.style.top = "-50px" CHILD.style.background = "white" parent = document.querySelector("#ROWS3") parent.appendChild(CHILD) for r in range(6): LAST_CHILD = document.createElement("td") DF_YAH = pd.DataFrame(data=YAH) LAST_CHILD.style.fontFamily = "SFPROREG" LAST_CHILD.innerHTML = DF_YAH[COLUMN_NAME[r]][i] CHILD.appendChild(LAST_CHILD)

Keyword	Ranking Pages	Rank	Previous	Difference	Note
Keyword	Ranking Pages	Rank	Previous	Difference	Note